{"text_format":"1","workbook":"xlsx","n_sheets":19,"sheets":["Get started","1 Vehicles and Fuels","2A Input Base and BAU","2A Results Base_BAU","2B Top-Down Validation","3A Input Climate Scen. Pass.","3A Results Climate Scen. Pass","3B Input Climate Scen. Freight","3B Results Climate Scen freight","4 Overview of results","5A Calculation BAU","5B Calcul. Climate Scen.","6 Defaults parameters","7 Fuel Consumption","8 Occupancy_Load","9 Sources and abbreviations","Referencing","Lists","Tool version and vehicle cat"],"not_rendered":{"charts":25,"images":6,"macros":1,"external_links":2,"defined_names":717,"comments":5,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"Get started","index":0,"n_rows":23,"n_cols":5,"rows_kept":23,"cut":false,"hidden":false,"merged":[[2,1,2,4],[3,1,3,4],[23,1,23,4],[14,1,14,4],[18,1,18,4],[19,1,19,4],[4,1,4,4],[20,1,20,4],[21,1,21,4],[22,1,22,4],[16,1,16,4],[17,1,17,4],[12,1,12,4],[10,1,11,2]]}
[]
[null,{"$f":"LastUpdate","v":"Last Update:"},"Tool Version 1.5.2 (16.10.2023)"]
[null,{"$f":"LatestVersion","v":"Please make sure that you use the latest version of the MYC Emissions Calculator to avoid wrong results. The Emissions Calculator is updated on a regular basis including new features and bug fixes. If you would like to receive a notification as soon as there is an update available you can register with your e-mail address on the MobiliseYourCity homepage. If you do not want to register please click the following link to ensure that you use the latest update:"}]
[null,"https://www.mobiliseyourcity.net/mobiliseyourcity-emissions-calculator"]
[null,{"$f":"Text1","v":"First step: select your type of location: country or city, fill in the name of your country/city as well as the base year chosen; select the language and the scope of emissions (WTW or TTW)"}]
[null,{"$f":"locationType","v":"Type of location"},"Country",null,{"$f":"colourcode","v":"Colour code"}]
[null,{"$f":"locationName","v":"Location name"},null,null,{"$f":"Input","v":"Data input"}]
[null,{"$f":"yearref","v":"Reference year"},null,null,{"$f":"disabledinput","v":"Data input disabled"}]
[null,{"$f":"Language","v":"Language"},"English",null,{"$f":"Calculatedcell","v":"Calculated cell"}]
[null,{"$f":"GEStype","v":"Choose the type of GHG"},"WTW",null,{"$f":"error","v":"Error"}]
[null,{"$f":"TTWWTW","v":"TTW: Tank-to-Wheel (without emissions from energy/fuel production); WTW: Well-to-Wheel (with emissions from energy/fuel production)"},null,null,{"$f":"default","v":"Default values"}]
[]
[null,{"$f":"warningmacros","v":"Important note: Please activate macros after opening the file to ensure proper functioning of the tool!"}]
[]
[null,{"$f":"warning","v":"Please note that you should enter data manually and not copy the cells into the designated input data fields (in green) as it damages the automatic error detection and the layout."}]
[]
[null,{"$f":"Text4","v":"Presentation of the tool"}]
[null,{"$f":"Text2","v":"Purpose of this tool:"}]
[null,{"$f":"Text2a","v":"This tool is a bottom-up spreadsheet model to calculate greenhouse gas emission (GHG) of the transport sector at the national and local level. It enables calculating GHG inventories of cities and countries as well as a BAU \"business as usual\" scenario and a climate scenario. The tool enables governments to calculate potential effects of national and urban transport strategies on total GHG emissions. The scope of the emission that should be taken into account is based on a territorial principle (see for more details http://mobiliseyourcity.net/wp-content/uploads/sites/2/2017/09/MobiliseYourCity_MRV_Approach.pdf). Basically all traffic within the defined territory must be taken into account (traffic of inhabitants, incoming and outgoing traffic such as commuters, tourists, freight deliveries and so on).\n\nThe inventory is mandatory, the calculation of a BAU is not compulsory but necessary if a climate scenario is calculated. The climate scenario is optional. Please provide all input to the corresponding assessment (only for base year for inventory, for future years in the allocated BAU parts and eventually for the climate scenario in the climate sheets if wanted)."}]
[null,{"$f":"MethodologyContent","v":"Methodology and content:"}]
[null,{"$f":"Text2b","v":"The tool contains several excel sheets. \n- Sheet \"2A Input Base and BAU\" enables calculating the GHG inventory and the Business as usual scenario\n- The sheets \"3A Input Climate Scen Pass\" and \"3B Input Climate Scen Freight\" delivers the effects of mitigation actions. \n- Sheet \"2B Top-Down Validation contains a bottom-up vs. top-down (based on energy balance data) validation of the results calculated for the reference year. This is especially relevant for the national level.\n- The Sheets \"7 Value Fuel Consumption\"  and \"8 Value Occupancy Load\" contain orientation data for users, if no vehicle fuel consumption or occupancy/load data are available for its country/city\n\nAll other tabs are tabs, which contain calculations (in grey) or present results (in blue) and do not require any user input."}]
[null,{"$f":"Text2c","v":"The input data required to calculate the GHG inventory and the BAU scenario (sheet \"2A Input Base and BAU\") are listed below:\n1. Socio-economic data \n- Population (Number of inhabitants)\n- GDP (Gross domestic product)\n2. Vehicle kilometers travelled (vkt) within the country/city. This input data can be provided for two different approaches:\n- The vkt approach: Direct input of the vehicle kilometers travelled for each vehicle category to be assessed for the reference year. This approach can often be applied, when data from a transport model are available. \n- The fleet approach: Required input data for the reference year are the number of vehicles (vehicle stock) and the annual average mileage (vkt/year) for each vehicle category to be assessed.\n- For both approaches the expected growth rate of the total vehicle kilometers travelled (vkt) should be given in order to calculate the Business-as-usual (BAU) scenario.\n3. Further required transportation data:\n- Average load (freight transport) and average occupancy (passenger transport) per vehicle category\n- Average trip length\n- Distribution of the vkt by fuel type per vehicle category\n- Average fuel/energy consumption by category per vehicle category\n- CO2 content of the grid electricity production\n\nCountries/cities which can not provide all of the required data can contact the MobiliseYourCity secretariat to check if suitable data are available (http://mobiliseyourcity.net/partnership/secretariat/)."}]
[null,{"$f":"Text3","v":"\nPlease note the color code applied within the tool: Users should only put data or adjust data in cells which are indicated green. \nAutomatic detection errors are built in within the tool and can be found on top of the pages in red. Pop up messages may also pop up if an unrealistic value is given by the user.\n\nThe developers are not responsible for the accuracy of the results. Any modification of the tool is the responsibility of the user.\n\nContext:\nThis tool was developed by the Institute for Energy and Environmental Research (ifeu - http://www.ifeu.de) in cooperation with the German and French development agencies GIZ and AFD.\nIt is not allowed to use the tool for commercial purposes.\n\nContact:\nMarie Colson (marie.colson@ifeu.de) or Felix Spathelf (felix.spathelf@ifeu.de)\nWilckenstraße 3, 69120, Heidelberg, Germany"}]

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[{"$f":"Tab","v":"Tab"},1]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0},null,{"$f":"Descri94","v":"1 Vehicles and Fuels"}]
[null,null,null,{"$f":"Descri104","v":"On this sheet, you have to define all combinations of vehicle and fuel types to be used in the following. Please select at first the vehicle types before specifying the respective fuel types."}]
[{"$f":"colourcode","v":"Colour code"},null,{"$f":"Errormessage","v":"Error message will be shown here if detected"}]
[{"$f":"Input","v":"Data input"}]
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[{"$f":"Calculatedcell","v":"Calculated cell"}]
[{"$f":"error","v":"Error"},null,{"$f":"IF(E302<>0,Error22,\"\")","v":""}]
[{"$f":"default","v":"Default values"}]
[]
[{"$f":"Descri95","v":"1) Vehicle type selection"}]
[{"$f":"Descri105","v":"Please define the vehicle types to be used by the tool. You can either choose from the pre-defined vehicle types or select \"custom vehicle type\" from the dropdown menu. In the latter case, you should enter the custom vehicle type in column C. Please make sure that the custom vehicle type you enter matches the specified category (e.g. the vehicle type \"high speed train\" should be entered in the category \"rail passenger transport\"). For custom vehicle types, you also have to specify in column D the corresponding common reporting format (CRF) code (used by the IPCC) to allow for correct accounting of the emissions. The CRF codes are defined as follows:\n1.A.3.b.i: road - car\n1.A.3.b.ii: road - light commercial vehicle\n1.A.3.b.iii: road - trucks and busses\n1.A.3.b.iv: road - motorcycles\n1.A.3.c: rail"}]
[{"$f":"Descri109","v":"Remark 1: Vehicle types are not allowed to appear twice!\nRemark 2: If you want to delete a vehicle or fuel type, please make sure that the respective cells on sheets 2A, 3A and 3B are empty before you remove it.\nRemark 3: If you delete several vehicle or fuel types, you have to delete them one by one. Otherwise the macros will not work properly."}]
[]
[{"$f":"Descri96","v":"1.i) Individual road passenger transport"}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Descri102","v":"Enter custom vehicle type here"},{"$f":"Descri107","v":"CRF code custom vehicle type"},{"$f":"Descri103","v":"Vehicle type used by the tool"},{"$f":"Descri108","v":"CRF code used by the tool"}]
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[]
[{"$f":"Descri97","v":"1.ii) Collective road passenger transport"}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Descri102","v":"Enter custom vehicle type here"},{"$f":"Descri107","v":"CRF code custom vehicle type"},{"$f":"Descri103","v":"Vehicle type used by the tool"},{"$f":"Descri108","v":"CRF code used by the tool"}]
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[]
[{"$f":"Descri98","v":"1.iii) Rail passenger transport"}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Descri102","v":"Enter custom vehicle type here"},{"$f":"Descri107","v":"CRF code custom vehicle type"},{"$f":"Descri103","v":"Vehicle type used by the tool"},{"$f":"Descri108","v":"CRF code used by the tool"}]
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[null,null,null,null,{"$f":"IF(B36=Custom,C36,B36)","v":0},{"$f":"IF(B36=Custom,VLOOKUP(D36,Lists!E$12:F$13,2,FALSE),VLOOKUP(E36,Lists!E$2:F$7,2,FALSE))","v":0}]
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[]
[{"$f":"Descri99","v":"1.iv) Road freight transport"}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Descri102","v":"Enter custom vehicle type here"},{"$f":"Descri107","v":"CRF code custom vehicle type"},{"$f":"Descri103","v":"Vehicle type used by the tool"},{"$f":"Descri108","v":"CRF code used by the tool"}]
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[null,null,null,null,{"$f":"IF(B45=Custom,C45,B45)","v":0},{"$f":"IF(B45=Custom,VLOOKUP(D45,Lists!G$12:H$15,2,FALSE),VLOOKUP(E45,Lists!G$2:H$9,2,FALSE))","v":0}]
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[]
[{"$f":"Descri100","v":"1.v) Rail freight transport"}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Descri102","v":"Enter custom vehicle type here"},{"$f":"Descri107","v":"CRF code custom vehicle type"},{"$f":"Descri103","v":"Vehicle type used by the tool"},{"$f":"Descri108","v":"CRF code used by the tool"}]
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[]
[]
[{"$f":"Descri101","v":"2) Fuel type selection"}]
[{"$f":"Descri106","v":"For each vehicle type, choose at least one corresponding fuel type from the dropdown menu. The option \"none\" means that the vehicle has no engine (e.g. in the case of a cargo bike). Be careful to fill in the data for all selected vehicle categories."}]
[]
[null,{"$f":"VType","v":"Vehicle type"},{"$f":"Fuel","v":"Fuel type"}]
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[null,null,null,{"$f":"IF(OR(C122=0,C122=\"-\"),0,1)","v":0},0]
[null,null,null,0,0]
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[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$128:C$134,C128)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$135:C$141,C135)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$142:C$148,C142)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$149:C$155,C149)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,{"$f":"IF(OR(C154=0,C154=\"-\"),0,1)","v":0},0]
[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$156:C$162,C156)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
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[null,null,null,0,{"$f":"COUNTIF(C$163:C$169,C163)","v":0}]
[null,null,null,0,0]
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[null,null,null,0,0]
[null,null,null,0,{"$f":"COUNTIF(C$170:C$176,C170)","v":0}]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
[null,null,null,0,0]
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[null,null,null,null,{"$f":"SUMPRODUCT(D183:D301,E183:E301)-SUM(D183:D301)","v":0}]

{"sheet":"2A Input Base and BAU","index":2,"n_rows":696,"n_cols":16,"rows_kept":696,"cut":false,"hidden":false,"merged":[[254,3,256,3],[110,3,110,8],[11,1,11,2],[30,0,30,16],[24,1,24,3],[254,4,254,9],[109,2,111,2],[78,0,78,15],[79,0,79,16],[254,2,256,2],[97,6,102,8],[107,0,107,16],[106,0,106,16],[84,0,95,0],[82,8,83,11],[14,1,15,6],[3,0,3,1],[2,3,3,16],[31,3,31,4],[33,3,33,4],[32,5,32,9],[22,11,22,15],[22,5,22,10],[19,1,19,3],[18,0,18,16],[4,3,9,16],[12,7,13,16],[12,1,13,6],[22,1,23,3],[22,4,23,4],[14,7,15,16],[21,0,21,16],[25,1,25,3],[54,2,54,7],[32,1,33,1],[54,1,55,1],[82,1,83,1],[82,7,83,7],[82,6,83,6],[82,2,83,2],[26,2,26,15],[52,2,52,9],[80,0,80,16],[54,0,55,0],[393,2,393,8],[102,2,102,3],[249,2,249,8],[377,2,377,9],[387,2,387,8],[383,1,384,2],[383,3,383,8],[109,3,109,8],[109,1,111,1],[253,0,253,16],[382,0,382,16],[389,1,390,2],[389,3,389,8],[381,0,381,15],[255,4,255,9],[254,1,256,1]]}
[{"$f":"Tab","v":"Tab"},"2A"]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0},null,{"$f":"Text5","v":"2A Input base and BAU"}]
[]
[null,null,null,{"$f":"Text6","v":"In this sheet the GHG inventory for the reference year and a Business-As-Usual scenario can be calculated. Please be aware that all green fields need to be filled in to enable the tool to work correctly, from the top to the bottom.\n\nThe required data is listed below:\n1. Socio-economic data\n- Population\n- GDP - Gross domestic product (if available)\n\n2. Vehicle kilometers travelled based on two possible approaches:\n- Either with transport model tool: total vkt for each vehicle category for the base year\n- Or the fleet approach: number of vehicles and the corresponding average annual vkt per vehicle for the base year\nIt is possible to combine the approaches for different vehicle categories or for different years, but only one approach can be used per year and per vehicle category.\n- In both cases the expected growth in the BAU should be given for each period\n\n3. Further data\n- Load/occupancy and trip length\n- The breakdown of vkt by fuel type\n- The average fuel consumption per vehicle sub-category\n- The CO2 content of electricity production\nGHG emissions from electric vehicles (due to electric energy consumption) are only taken into account if the WTW option in sheet \"Get started\" is selected.\n\nThe GHG intensity of other fuels are given in the default parameter tab, they can be changed if better data are availabel for the country, especially for hydrogen values (gCO2/MJ), which may differ widely depending on the technology and energy source. "}]
[null,{"$f":"colourcode","v":"Colour code"}]
[null,{"$f":"Input","v":"Data input"}]
[null,{"$f":"disabledinput","v":"Data input disabled"}]
[null,{"$f":"Calculatedcell","v":"Calculated cell"}]
[null,{"$f":"error","v":"Error"}]
[null,{"$f":"default","v":"Default values"}]
[null,{"$f":"Generalerror","v":"Error message will be shown here if detected"}]
[null,{"$f":"IF(OR($C$623+$C$639<>0,$G$623<>0),Error12,\"\")","v":""},null,null,null,null,null,{"$f":"IF($P$696<>0,Error4,\"\")","v":""}]
[]
[null,{"$f":"IF($H$594<>0,Error3,\"\")","v":""},null,null,null,null,null,{"$f":"IF($H$602<>0,Error5,\"\")","v":""}]
[]
[]
[{"$f":"Descri86","v":"1) Timeline"}]
[{"$f":"Descri88","v":"Description: Please define the target years for the project. You can choose up to 5 years for which GHG emissions are shown.\n"}]
[null,{"$f":"Descri87","v":"Target year"},null,null,"#",{"$f":"B3","v":0}]
[{"$f":"Descri12","v":"2) Socio-economic data "}]
[{"$f":"Descri13","v":"Description: Please enter the population and the gross domestic product (GDP) of your country/city for the reference year in the table below. For BAU scenario calculations please also enter corresponding annual growth rates.\nRemark: Data input for the population in the reference year is mandatory, data input for the GDP is optional - applied for key performance indicators (KPIs) in the sheet \"4 Overview of Results\"."}]
[null,null,null,null,{"$f":"Unit","v":"Unit"},{"$f":"Values","v":"Values"},null,null,null,null,null,{"$f":"Growth","v":"Annual growth rate [%]"}]
[null,null,null,null,null,{"$f":"$B$3","v":0},{"$f":"IF(G20<>\"\",G20,\"\")","v":""},{"$f":"IF(H20<>\"\",H20,\"\")","v":""},{"$f":"IF(I20<>\"\",I20,\"\")","v":""},{"$f":"IF(J20<>\"\",J20,\"\")","v":""},{"$f":"IF(K20<>\"\",K20,\"\")","v":""},{"$f":"IF(G20<>\"\",F24&\"-\"&G20,\"\")","v":""},{"$f":"IF(H20<>\"\",G24&\"-\"&H20,\"\")","v":""},{"$f":"IF(I20<>\"\",H24&\"-\"&I20,\"\")","v":""},{"$f":"IF(J20<>\"\",I24&\"-\"&J20,\"\")","v":""},{"$f":"IF(K20<>\"\",J24&\"-\"&K20,\"\")","v":""}]
[null,{"$f":"Population","v":"Population"},null,null,{"$f":"numberinhab","v":"Number of inhabitants"},null,{"$f":"IF(AND(F25<>\"\",G20<>\"\"),+F25*((1+L25)^(G$20-F$24)),\"\")","v":""},{"$f":"IF(AND(G25<>\"\",H20<>\"\"),+G25*((1+M25)^(H$20-G$20)),\"\")","v":""},{"$f":"IF(AND(H25<>\"\",I20<>\"\"),+H25*((1+N25)^(I$20-H$20)),\"\")","v":""},{"$f":"IF(AND(I25<>\"\",J20<>\"\"),+I25*((1+O25)^(J$20-I$20)),\"\")","v":""},{"$f":"IF(AND(J25<>\"\",K20<>\"\"),+J25*((1+P25)^(K$20-J$20)),\"\")","v":""}]
[null,{"$f":"GDP","v":"Gross domestic product (GDP)"},null,null,{"$f":"money","v":"Million dollars"},null,{"$f":"IF(AND(F26<>\"\",G20<>\"\"),+F26*((1+L26)^(G$20-F$24)),\"\")","v":""},{"$f":"IF(AND(G26<>\"\",H20<>\"\"),+G26*((1+M26)^(H$20-G$20)),\"\")","v":""},{"$f":"IF(AND(H26<>\"\",I20<>\"\"),+H26*((1+N26)^(I$20-H$20)),\"\")","v":""},{"$f":"IF(AND(I26<>\"\",J20<>\"\"),+I26*((1+O26)^(J$20-I$20)),\"\")","v":""},{"$f":"IF(AND(J26<>\"\",K20<>\"\"),+J26*((1+P26)^(K$20-J$20)),\"\")","v":""}]
[null,{"$f":"Source","v":"Source:"}]
[]
[]
[{"$f":"Descri14","v":"3) Vehicle kilometers travelled (vkt)"}]
[{"$f":"Descri11","v":"Description: Please enter the vehicle kilometers of the base year and the annual growth rate. The user has to choose between the vkt approach or the fleet approach for each vehicle category. It is not possible to use both approaches at the same time. Without this information the calculation of GHG emissions cannot be done.\nRemark 1: The total vkt (mileage approach) or average annual mileage (fleet approach) should comply with the actual transport activity within the city or country territory.\nRemark 2: Definitions and short descriptions of each vehicle category can be found in the sheet \"7 Sources and abbreviation\"."}]
[null,null,{"$f":"Mileageapp","v":"1. Vkt approach"},{"$f":"Fleetapproach","v":"2. Fleet approach"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Tmileage","v":"Total vkt per vehicle category [Mio. km/year]"},{"$f":"Vehiclestock","v":"Vehicle stock [total number of vehicles]"},{"$f":"vktfleet","v":"Average annual mileage per vehicle [km/vehicle/year]"},{"$f":"Growthmileage","v":"Annual growth of vkt per period  [%]"}]
[null,null,{"$f":"F24","v":0},{"$f":"F24","v":0},null,{"$f":"L24","v":""},{"$f":"M24","v":""},"","",""]
[null,{"$f":"NMT","v":"NMT"}]
[null,{"$f":"vehi1","v":0}]
[null,{"$f":"vehi2","v":0}]
[null,{"$f":"vehi3","v":0}]
[null,{"$f":"vehi4","v":0}]
[null,{"$f":"vehi5","v":0}]
[null,{"$f":"vehi6","v":0}]
[null,{"$f":"vehi7","v":0}]
[null,{"$f":"vehi8","v":0}]
[null,{"$f":"vehi9","v":0}]
[null,{"$f":"vehi10","v":0}]
[null,{"$f":"vehi11","v":0}]
[null,{"$f":"vehi12","v":0}]
[null,{"$f":"vehi13","v":0}]
[null,{"$f":"vehi14","v":0}]
[null,{"$f":"vehi15","v":0}]
[null,{"$f":"vehi16","v":0}]
[null,{"$f":"vehi17","v":0}]
[null,{"$f":"Source","v":"Source:"}]
[]
[{"$f":"Results","v":"Results"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"Milannualkm","v":"Vehicle kilometers travelled [Mio. km]"}]
[null,null,{"$f":"F24","v":0},"","","","",""]
[null,{"$f":"B35","v":"NMT"},{"$f":"IF(C35<>\"\",C35,IF(D35<>\"\",D35*E35*10^-6,0))","v":0},{"$f":"IF(G$20<>\"\",IF(C57<>\"\",C57*((1+F35)^(D$56-C$56)),0),0)","v":0},{"$f":"IF(H$20<>\"\",IF(D57<>\"\",D57*((1+G35)^(E$56-D$56)),0),0)","v":0},{"$f":"IF(I$20<>\"\",IF(E57<>\"\",E57*((1+H35)^(F$56-E$56)),0),0)","v":0},{"$f":"IF(J$20<>\"\",IF(F57<>\"\",F57*((1+I35)^(G$56-F$56)),0),0)","v":0},{"$f":"IF(K$20<>\"\",IF(G57<>\"\",G57*((1+J35)^(H$56-G$56)),0),0)","v":0}]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,0,0,0,0,0,0,0]
[null,{"$f":"Total","v":"Sum"},{"$f":"IF(SUM(C57:C74)>0,SUM(C57:C74),\"\")","v":""},"","","","",""]
[]
[]
[{"$f":"Descri19","v":" 4.i) Load, occupancy and average trip length"}]
[{"$f":"Descri20","v":"Description: Please enter the occupancy for passenger vehicles (average number of passengers per vehicle) and the load for freight vehicles (average load per vehicle in tons). On the right, please enter for all given vehicles the average trip length of a passenger in the BAU scenario.\nRemark 1: Occupancy/load values are used both for inventory, BAU and climate scenario. The average trip length is only used for the climate scenario.\nRemark 2: Conventionally drivers of public transport (incl. taxi) are not counted as they are not passengers, but for private transport drivers should be included."}]
[{"$f":"Descri18","v":"Remark 3: Local (national/city) data can be used if available and robust. Otherwise for cities it is recommended to use national data and for countries to use regional specific data. On sheet 8 Occupancy_Load, you can find orientation values for occupancy and load factor."}]
[]
[]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Unit","v":"Unit"},{"$f":"OccupancyLoad","v":"Average occupancy and load"},null,null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"avtriplength","v":"Av. BAU trip length (km)"},{"$f":"Descri89","v":"OPTIONAL - The average trip length is only used as a weighting factor for the modal shift in the climate passenger scenario (Tab 3.A). Enter the average trip length for all modes (Baseline or Scenario modes) concerned by the shift"}]
[null,null,null,{"$f":"local","v":"Local data"}]
[{"$f":"IF($G$500<>0,Error13,\"\")","v":""},{"$f":"B35","v":"NMT"},{"$f":"Passpvehic","v":"Passengers/vehicle"},1,null,null,{"$f":"B35","v":"NMT"}]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,"Passengers/vehicle",null,null,null,0]
[null,0,{"$f":"ton","v":"load: tons/vehicle"},null,null,null,{"$f":"Source","v":"Source:"}]
[null,0,"load: tons/vehicle"]
[null,0,"load: tons/vehicle"]
[null,0,"load: tons/vehicle"]
[null,0,{"$f":"ton","v":"load: tons/vehicle"}]
[null,0,"load: tons/vehicle"]
[null,{"$f":"Source","v":"Source:"}]
[]
[]
[{"$f":"Descri21","v":"4.ii) Vehicle kilometers travelled breakdown by fuel type"}]
[{"$f":"Descri22","v":"Description: For each vehicle category, please enter the percentage of vehicle kilometers travelled (vkt) per fuel type for the reference year and for future years."}]
[{"$f":"Descri23","v":"Remark: The sum of shares in each vehicle category has to be 100 %. The share of each fuel type should be coherent between the different years as the replacement of vehicles in previous years obvisouly impacts the following years. The user must ensure that data input are realistic with the fleet composition and evolution."}]
[]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Fuel","v":"Fuel type"},{"$f":"Mileagecat","v":"Vehicle kilometers travelled (vkt) by category [%]"}]
[null,null,null,{"$f":"local","v":"Local data"}]
[null,null,null,{"$f":"F24","v":0},"","","","",""]
[null,{"$f":"NMT","v":"NMT"},{"$f":"none","v":"none "},1,1,1,1,1,1]
[null,{"$f":"vehi1","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$58>0,SUM(D115:D121),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C58","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C59","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C60","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C61","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C62","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C63","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C64","v":0}]
[null,{"$f":"vehi2","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$59>0,SUM(D123:D129),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C65","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C66","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C67","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C68","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C69","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C70","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C71","v":0}]
[null,{"$f":"vehi3","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$60>0,SUM(D131:D137),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C72","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C73","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C74","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C75","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C76","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C77","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C78","v":0}]
[null,{"$f":"vehi4","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$61>0,SUM(D139:D145),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C79","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C80","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C81","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C82","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C83","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C84","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C85","v":0}]
[null,{"$f":"vehi5","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$62>0,SUM(D147:D153),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C86","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C87","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C88","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C89","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C90","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C91","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C92","v":0}]
[null,{"$f":"vehi6","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$63>0,SUM(D155:D161),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C93","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C94","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C95","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C96","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C97","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C98","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C99","v":0}]
[null,{"$f":"vehi7","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$64>0,SUM(D163:D169),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C100","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C101","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C102","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C103","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C104","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C105","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C106","v":0}]
[null,{"$f":"vehi8","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$65>0,SUM(D171:D177),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C107","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C108","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C109","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C110","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C111","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C112","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C113","v":0}]
[null,{"$f":"vehi9","v":0},{"$f":"all","v":"all"},{"$f":"IF(C$66>0,SUM(D179:D185),\"-\")","v":"-"},"-","-","-","-","-"]
[null,0,{"$f":"'1 Vehicles and Fuels'!C114","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C115","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C116","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C117","v":0}]
[null,0,{"$f":"'1 Vehicles and Fuels'!C118","v":0}]
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[null,{"$f":"Source","v":"Source:"}]
[]
[]
[{"$f":"Descri24","v":"4.iii) Average energy/fuel consumption for the reference year and energy efficiency change in the BAU scenario"}]
[{"$f":"Descri25","v":"Description: Please enter the average fuel/energy consumption - for each vehicle category and per fuel type for the reference year (average fuel/energy consumption per vehicle per 100 km) as well as for each of the following years.\nRemark: On sheet 7 Fuel Consumption, you can find orientation values for fuel/energy consumption."}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Fuel","v":"Fuel type"},"Unit",{"$f":"avcons","v":"Average energy consumption  [l-kW-kg/100 km]"}]
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[null,{"$f":"Source","v":"Source:"}]
[]
[]
[{"$f":"Descri27","v":"4.iv) Evolution of the CO2 content from electricity and hydrogen production in both scenarios"}]
[{"$f":"Descri29","v":"Description: Please enter the CO2 content of electricity and hydrogen for the reference year and for future years.\nRemark 1: For scenario calculations, it is mandatory to enter the values for future years as well. These values are used for scenario calculations both for the BAU (this sheet) and the climate scenario (sheets 3A and 3B)."}]
[{"$f":"Descri28","v":"Remark 2: GHG emissions from (battery and fuel cell) electric vehicles are zero when applying a TTW (tank-to-wheel) approach. If the WTW (well-to-wheel) approach is applied the upstream GHG emissions from the production and transport of the electricity/hydrogen are also considered.\nRemark 3: Please note that the unit for the CO2 content of electricity is g CO2/kWh electricity, whereas the unit for the CO2 content of hydrogen is g CO2/kg hydrogen."}]
[null,{"$f":"Inputmix","v":"Input data for the electricity mix"},null,{"$f":"local","v":"Local data"}]
[null,null,null,{"$f":"F24","v":0},"","","","",""]
[null,{"$f":"Roadelec","v":"Road - Electric"},"g CO2/kWh"]
[null,{"$f":"RailElec","v":"Rail - Electric"},"g CO2/kWh"]
[null,{"$f":"Source","v":"Source:"}]
[]
[null,{"$f":"InputH2","v":"Input data for hydrogen production"},null,{"$f":"local","v":"Local data"}]
[null,null,null,{"$f":"F24","v":0},"","","","",""]
[null,{"$f":"Road&\" - \"&Hydrogen","v":"Road - Hydrogen"},"g CO2/kg"]
[null,{"$f":"Rail&\" - \"&Hydrogen","v":"Rail - Hydrogen"},"g CO2/kg"]
[null,{"$f":"Source","v":"Source:"}]
[]
[]
[]
[]
[]
[]
[]
[]
[{"$f":"donottouch","v":"Do not touch - for graphic purposes"}]
[]
[{"$f":"Graph2","v":"Modal split passenger [based on pkm]"}]
[{"$f":"Graph1","v":"Modal split freight [based on tkm]"},{"$f":"Modalsplit","v":"Modal split [pkm]"},{"$f":"F24","v":0},"","","","","","Check","Gramm CO2äq pro Fz-km",{"$f":"C406","v":0},{"$f":"D406","v":""},"","","",""]
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{"sheet":"2A Results Base_BAU","index":3,"n_rows":4,"n_cols":6,"rows_kept":4,"cut":false,"hidden":false,"merged":[[2,5,2,18],[3,5,8,18]]}
[null,{"$f":"Tab","v":"Tab"},"2A"]
[null,{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0}]
[null,{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0},null,null,{"$f":"Text26","v":"2A Results Base_BAU"}]
[null,null,null,null,null,{"$f":"Text22","v":"The user can find here the results of the baseline and BAU scenarios corresponding to the inputs given in Tab\"2A Input Base_BAU\".\nThe results display\n- the population and GDP values\n- the mileage (vkt) and the modal split (in pkm / tkm)\n- the total GHG emissions"}]

{"sheet":"2B Top-Down Validation","index":4,"n_rows":84,"n_cols":19,"rows_kept":84,"cut":false,"hidden":false,"merged":[[2,4,10,18],[1,4,1,18],[14,1,14,4],[44,1,44,4],[44,8,44,12],[14,8,14,12],[14,14,14,18],[11,4,11,19],[44,14,44,17]]}
[null,{"$f":"Tab","v":"Tab"},"2B"]
[null,{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0},null,{"$f":"Topdownvalidation","v":"2B Top-Down Validation Approach"}]
[null,{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0},null,{"$f":"Text23","v":"This sheet is for validation purposes. It is therefore optional to enter data (i.e. results are displayed on sheet 4 even if this sheet is empty), but it is strongly recommended to do so, especially in the context of national inventories, in order to cross-check results.\n\nA well-known validation approach especially for national GHG inventories is the comparison of the calculated fuel consumption (summed by fuel type and vehicle category) obtained from the present tool (bottom-up approach) with the national energy balance (top-down approach). Differences within a range of +/- 10% are quite common and should not be considered as error but as uncertainty. One reason can be for example, that the energy balance does not include fuels bought in neighboring countries and consumed within the country. The emission inventory report should try explaining gaps and analyze the possibility to minimize the related uncertainties.\nEnergy balance data are based on the total fuel sales within the country. According to the IPCC guidelines 2006, the final energy consumption for the GHG inventory should be calculated as follows: production + import - export - international bunkers - stock change. The main uncertainties for energy balance data are: \n- Wrong allocation of fuels to the sub-transport sectors (e.g. fuel consumption from diesel generators should not be accounted in transport sector) or transport subcategories (i.e. road transportation vs. other transports, domestic use vs. international bunkers)\n- Amount of grey imports (illegally sold fuels, tank-tourism...)\n\nThe main uncertainties for bottom-up fuel consumption data are: \n- Activity data i.e. fleet composition, number of vehicles or vkt, specific fuel consumption \nA comparison of different sources can help to identify the range of uncertainties. If identifying the parameter with the highest uncertainties is possible, it makes sense to try adjusting it. For example, the calculated total gasoline consumption for road transport is 30% higher than the value given in the energy balance. Motorcycles consume 50% of motor gasoline and the motorcycle population could not be provided by official statistics but only estimated. In order to minimize the gap for motor gasoline to e.g. 10%, the number of motorcycles could be diminished by 30%. Another common approach is to adjust average vkt in order to match the energy balance results.\n\nFor definitions of the codes 1.3.A and similar refer to the IPCC guidelines."}]
[]
[]
[]
[]
[null,{"$f":"colourcode","v":"Colour code"}]
[null,{"$f":"Input","v":"Data input"}]
[null,{"$f":"disabledinput","v":"Data input disabled"}]
[null,{"$f":"Calculatedcell","v":"Calculated cell"}]
[null,{"$f":"error","v":"Error"},null,null,{"$f":"Descri110","v":"Please note: The values for the energy balance have to be given in the unit 1000 TOE (tonnes of oil equivalent)."}]
[null,{"$f":"default","v":"Default values"}]
[null,{"$f":"Text27","v":"Energy Balance\n[1000 TOE]"}]
[null,{"$f":"transportrandr","v":"Transport (sum of road and rail)"},null,null,null,null,null,null,{"$f":"Road","v":"Road"},null,null,null,null,null,{"$f":"Rail","v":"Rail"}]
[null,{"$f":"Fuel","v":"Fuel type"},{"$f":"energybalance","v":"Energy Balance\n[1000 TOE]"},{"$f":"calculated1000TOE","v":"Calculated [1000 TOE]"},{"$f":"gap","v":"gap"},null,null,null,{"$f":"Fuel","v":"Fuel type"},{"$f":"energybalance","v":"Energy Balance\n[1000 TOE]"},{"$f":"Source","v":"Source:"},{"$f":"calculated1000TOE","v":"Calculated [1000 TOE]"},{"$f":"gap","v":"gap"},null,{"$f":"Fuel","v":"Fuel type"},{"$f":"energybalance","v":"Energy Balance\n[1000 TOE]"},{"$f":"Source","v":"Source:"},{"$f":"calculated1000TOE","v":"Calculated [1000 TOE]"},{"$f":"gap","v":"gap"}]
[null,{"$f":"Gasoline","v":"Gasoline"},{"$f":"J17+P17","v":0},{"$f":"+L17+R17","v":0},{"$f":"+IFERROR(D17/C17-1,\"\")","v":""},null,null,null,{"$f":"Gasoline","v":"Gasoline"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I17,'5A Calculation BAU'!$AT$38:$AT$157)+SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&Hybrid,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(L17/J17-1,\"\")","v":""},null,{"$f":"Gasoline","v":"Gasoline"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O17,'5A Calculation BAU'!$AT$38:$AT$157)+SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&Hybrid,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(R17/P17-1,\"\")","v":""}]
[null,{"$f":"Diesel","v":"Diesel"},{"$f":"J18+P18","v":0},{"$f":"+L18+R18","v":0},"",null,null,null,{"$f":"Diesel","v":"Diesel"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I18,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(L18/J18-1,\"\")","v":""},null,{"$f":"Diesel","v":"Diesel"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O18,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(R18/P18-1,\"\")","v":""}]
[null,{"$f":"Electric","v":"Electric"},0,{"$f":"+L19+R19","v":0},"",null,null,null,{"$f":"Electric","v":"Electric"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I19,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(L19/J19-1,\"\")","v":""},null,{"$f":"Electric","v":"Electric"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O19,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},""]
[null,{"$f":"LPG","v":"LPG"},0,0,"",null,null,null,{"$f":"LPG","v":"LPG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I20,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},"",null,{"$f":"LPG","v":"LPG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O20,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},""]
[null,{"$f":"NG","v":"CNG"},0,0,"",null,null,null,{"$f":"NG","v":"CNG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I21,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},"",null,{"$f":"NG","v":"CNG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O21,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},""]
[null,{"$f":"LNG","v":"LNG"},{"$f":"J22+P22","v":0},{"$f":"+L22+R22","v":0},{"$f":"+IFERROR(D22/C22-1,\"\")","v":""},null,null,null,{"$f":"LNG","v":"LNG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I22,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(L22/J22-1,\"\")","v":""},null,{"$f":"LNG","v":"LNG"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O22,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(R22/P22-1,\"\")","v":""}]
[null,{"$f":"Hydrogen","v":"Hydrogen"},{"$f":"J23+P23","v":0},{"$f":"+L23+R23","v":0},{"$f":"+IFERROR(D23/C23-1,\"\")","v":""},null,null,null,{"$f":"Hydrogen","v":"Hydrogen"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I23,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(L23/J23-1,\"\")","v":""},null,{"$f":"Hydrogen","v":"Hydrogen"},null,null,{"$f":"(SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O23,'5A Calculation BAU'!$AT$38:$AT$157))*10^3/41868","v":0},{"$f":"+IFERROR(R23/P23-1,\"\")","v":""}]
[null,"Total",{"$f":"SUM(C17:C23)","v":0},{"$f":"SUM(D17:D23)","v":0},"",null,null,null,"Total",{"$f":"SUM(J17:J23)","v":0},null,{"$f":"SUM(L17:L23)","v":0},"",null,"Total",{"$f":"SUM(P17:P23)","v":0},null,{"$f":"SUM(R17:R23)","v":0},""]
[]
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[null,{"$f":"bunker","v":"excluding international bunkers"},null,null,null,null,null,null,"1a3b",null,null,null,null,null,"1a3c"]
[]
[null,"Conversion factor: 1 TOE (tonne of oil equivalent) = 41 868 MJ"]
[null,{"$f":"Text28","v":"Global GHG emissions [1000 t]"}]
[null,{"$f":"transportrandr","v":"Transport (sum of road and rail)"},null,null,null,null,null,null,{"$f":"Road","v":"Road"},null,null,null,null,null,{"$f":"Rail","v":"Rail"}]
[null,{"$f":"Fuel","v":"Fuel type"},"CO2e [1000t]",{"$f":"CO2ecalc","v":"Calculated CO2e [1000 t]"},{"$f":"gap","v":"gap"},null,null,null,{"$f":"Fuel","v":"Fuel type"},"CO2e [1000t]",{"$f":"Source","v":"Source:"},{"$f":"CO2ecalc","v":"Calculated CO2e [1000 t]"},{"$f":"gap","v":"gap"},null,{"$f":"Fuel","v":"Fuel type"},"CO2e [1000t]",{"$f":"Source","v":"Source:"},{"$f":"CO2ecalc","v":"Calculated CO2e [1000 t]"},{"$f":"gap","v":"gap"}]
[null,{"$f":"Gasoline","v":"Gasoline"},{"$f":"J47+P47","v":0},{"$f":"+L47+R47","v":0},{"$f":"+IFERROR(D47/C47-1,\"\")","v":""},null,null,null,{"$f":"Gasoline","v":"Gasoline"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I47,'5A Calculation BAU'!$BA$38:$BA$157)+SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&Hybrid,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},{"$f":"+IFERROR(L47/J47-1,\"\")","v":""},null,{"$f":"Gasoline","v":"Gasoline"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O47,'5A Calculation BAU'!$BA$38:$BA$157)+SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&Hybrid,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},{"$f":"+IFERROR(R47/P47-1,\"\")","v":""}]
[null,{"$f":"Diesel","v":"Diesel"},{"$f":"J48+P48","v":0},{"$f":"+L48+R48","v":0},"",null,null,null,{"$f":"Diesel","v":"Diesel"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I48,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},{"$f":"+IFERROR(L48/J48-1,\"\")","v":""},null,{"$f":"Diesel","v":"Diesel"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O48,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},{"$f":"+IFERROR(R48/P48-1,\"\")","v":""}]
[null,{"$f":"Electric","v":"Electric"},0,{"$f":"+L49+R49","v":0},"",null,null,null,{"$f":"Electric","v":"Electric"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I49,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},{"$f":"+IFERROR(L49/J49-1,\"\")","v":""},null,{"$f":"Electric","v":"Electric"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O49,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},""]
[null,{"$f":"LPG","v":"LPG"},0,{"$f":"+L50+R50","v":0},"",null,null,null,{"$f":"LPG","v":"LPG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I50,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},"",null,{"$f":"LPG","v":"LPG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O50,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},""]
[null,{"$f":"NG","v":"CNG"},0,0,"",null,null,null,{"$f":"NG","v":"CNG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I51,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},"",null,{"$f":"NG","v":"CNG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O51,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},""]
[null,{"$f":"LNG","v":"LNG"},0,0,"",null,null,null,{"$f":"LNG","v":"LNG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I52,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},"",null,{"$f":"LNG","v":"LNG"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O52,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},""]
[null,{"$f":"Hydrogen","v":"Hydrogen"},0,0,"",null,null,null,{"$f":"Hydrogen","v":"Hydrogen"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Road&\" - \"&'2B Top-Down Validation'!I53,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},"",null,{"$f":"Hydrogen","v":"Hydrogen"},null,null,{"$f":"SUMIF('5A Calculation BAU'!$F$38:$F$157,Rail&\" - \"&'2B Top-Down Validation'!O53,'5A Calculation BAU'!$BA$38:$BA$157)","v":0},""]
[null,"Total",{"$f":"SUM(C47:C53)","v":0},{"$f":"SUM(D47:D53)","v":0},"",null,null,null,"Total",{"$f":"SUM(J47:J53)","v":0},null,{"$f":"SUM(L47:L53)","v":0},"",null,"Total",{"$f":"SUM(P47:P53)","v":0},null,{"$f":"SUM(R47:R53)","v":0},""]
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[null,{"$f":"donottouch","v":"Do not touch - for graphic purposes"}]
[null,{"$f":"transporttout","v":"1 A3 Transport energy consumption [1000  TOE]\n"}]
[null,{"$f":"Roadtransport","v":"1A3b Energy consumption road transport  [1000  TOE]\n"}]
[null,{"$f":"Railtransport","v":"1A3c Energy consumption rail transport  [1000  TOE]"}]
[null,{"$f":"consoTOE","v":"Domestic fuel consumption\nin 1000 TOE\n"}]
[null,{"$f":"transportCO2","v":"1A3 Transport GHG emissions [1000 t]\n"}]
[null,{"$f":"RoadCO2","v":"1A3b Road transport GHG emissions [1000 t]\n"}]
[null,{"$f":"RailCO2","v":"1A3c Rail transport GHG emission[1000 t]"}]

{"sheet":"3A Input Climate Scen. Pass.","index":5,"n_rows":983,"n_cols":43,"rows_kept":983,"cut":false,"hidden":false,"merged":[[503,18,503,19],[519,10,519,11],[519,12,519,13],[519,14,519,15],[519,16,519,17],[519,18,519,19],[503,10,503,11],[503,12,503,13],[503,14,503,15],[503,16,503,17],[406,7,406,9],[406,1,406,3],[406,13,406,15],[58,3,58,7],[406,4,406,6],[406,10,406,12],[80,2,80,7],[69,3,69,7],[200,3,200,7],[221,3,221,7],[221,9,221,13],[218,1,218,20],[318,4,318,8],[200,11,200,15],[221,15,221,19],[318,16,318,20],[318,10,318,14],[4,0,4,1],[36,9,36,13],[56,1,57,21],[54,1,54,21],[36,16,36,20],[36,2,36,6],[16,9,16,13],[14,1,14,21],[16,2,16,6],[34,1,35,21],[55,1,55,21],[71,1,78,1],[202,0,213,0],[202,8,213,8],[95,0,104,0],[1,4,4,19],[0,4,0,19],[11,4,11,19],[108,0,117,0],[121,0,130,0],[81,0,89,0],[36,7,49,7],[5,4,5,6],[16,0,29,0],[91,3,91,7],[6,4,7,7],[8,4,9,7],[6,8,7,12],[8,8,9,12],[6,13,7,19],[8,13,9,19]]}
[{"$f":"Tab","v":"Tab"},"3A",null,null,{"$f":"Text7","v":"3A Input Climat Scen. Pass."}]
[{"$f":"subsector","v":"Sub-sector"},{"$f":"Passtrans","v":"Passenger transportation"},null,null,{"$f":"Text8","v":"This sheets enables calculating a climate scenario, based on mitigations actions, for the passenger transportation sector. In order to derive transport demand data for the calculations two different data input approaches are possible. In order to avoid wrong results please choose and apply just one approach.\n\nThe first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) provided by an external transport planning tool. Once the two tables are filled in, the user can skip the next section and continue with step 3).\n\nIf no data from a transport planning tool are available, the second approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. For calculating potential GHG savings from mitigation measures within this approach the \"ASI\" (Avoid/Shift/Improve) approach is applied. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type (Avoid, Shift or Improve). E.g. Parking area management may lead to 5% avoided passenger car vehicle kilometers travelled (vkt).\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption"}]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0}]
[]
[null,{"$f":"colourcode","v":"Colour code"},null,null,{"$f":"Generalerror","v":"Error message will be shown here if detected"}]
[null,{"$f":"Input","v":"Data input"},null,null,{"$f":"IF($B$878<>0,Error20,\"\")","v":""},null,null,null,{"$f":"IF($G$810+$G$821<>0,Error18,\"\")","v":""},null,null,null,null,{"$f":"IF(G776<>0,Error7,\"\")","v":""}]
[null,{"$f":"disabledinput","v":"Data input disabled"}]
[null,{"$f":"Calculatedcell","v":"Calculated cell"},null,null,{"$f":"IF($G$801<>0,Error19,\"\")","v":""},null,null,null,{"$f":"IF($G$787<>0,Error9,\"\")","v":""},null,null,null,null,{"$f":"IF(N842<>0,Error8,\"\")","v":""}]
[null,{"$f":"error","v":"Error"}]
[null,{"$f":"default","v":"Default values"}]
[null,null,null,null,{"$f":"Text25","v":"The sheet has to be filled in from the top to the bottom.\nPlease note that you have to choose between the approach \"with upstream calculations\" and the approach \"without upstream calculations\" (sections 1 Avoid and 2 Shift). If you fill in both, the tool might not work properly!\nSections 3 and 4 (Improve) can be filled in regardless of the chosen approach. If a vehicle and/or fuel type not used in the BAU is entered above, the information concerning this new type has to be given in sections 3 and/or 4."}]
[]
[{"$f":"planningtool","v":"WITH UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA FROM EXTERNAL TRANSPORT PLANNING TOOL"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri15","v":"Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. passenger-kilometers in the table on the right (optional for GHG but recommanded if you need any key performance indicator including person kilometer) as delivered by the transport plannig tool for the reference year. The same data can be entered for the following years taking into account the changes planned in the climate scenario.\nRemark: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\"."}]
[]
[{"$f":"IF($B$656<>0,Error17,IF($G$579<>0,Error14,\"\"))","v":""},{"$f":"Category","v":"Category"},{"$f":"Milannualkm","v":"Vehicle kilometers travelled [Mio. km]"},null,null,null,null,null,{"$f":"Category","v":"Category"},{"$f":"Transportperf","v":"Transport performance [Mio. pkm]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0},null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"'2A Input Base and BAU'!G20","v":0},{"$f":"'2A Input Base and BAU'!H20","v":0},{"$f":"'2A Input Base and BAU'!I20","v":0},{"$f":"'2A Input Base and BAU'!J20","v":0},{"$f":"'2A Input Base and BAU'!K20","v":0}]
[null,{"$f":"I19","v":"NMT"},null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B35","v":"NMT"}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B36","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B37","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B38","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B39","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B40","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B41","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B42","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B43","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B44","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B45","v":0}]
[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B46","v":0}]
[]
[]
[{"$f":"withoutplanning","v":"WITHOUT UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA CALCULATIONS WITHIN THIS TOOL"}]
[{"$f":"Descri30","v":"1) Avoid: Avoided vehicle kilometers travelled (vkt)"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri31","v":"Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compaed to the same year in the BAU.\nExample of measure: Parking space reduction\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 15% avoided vkt of passenger cars, 4% avoided vkt of buses, 78% avoided vkt of coaches and 2% avoided vkt of long distance trains compared to 2019 (source: ifeu). Planned climate measure are likely to have a  lower impact, especially for passenger transport by road. "}]
[]
[null,{"$f":"Category","v":"Category"},{"$f":"vktbase","v":"Base vkt [Mio. km]"},null,null,null,null,{"$f":"IF($G$672>0,Error21,\"\")","v":""},{"$f":"Category","v":"Category"},{"$f":"avoidedvkt","v":"Avoided motorised vkt [%]"},null,null,null,null,null,{"$f":"Category","v":"Category"},{"$f":"scenariovkt","v":"Scenario vkt [Mio. km]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0},null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0},null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0}]
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[null,{"$f":"Total","v":"Sum"},{"$f":"SUM(C40:C50)","v":0},{"$f":"SUM(D40:D50)","v":0},{"$f":"SUM(E40:E50)","v":0},{"$f":"SUM(F40:F50)","v":0},{"$f":"SUM(G40:G50)","v":0},null,null,null,null,null,null,null,null,{"$f":"Total","v":"Sum"},{"$f":"SUM(Q39:Q50)","v":0},{"$f":"SUM(R39:R50)","v":0},0,0,0]
[]
[]
[{"$f":"Descri36","v":"2) Shift: Shift of transport from the current to public transport modes"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri37","v":"The shift module follows a three-steps approach: \n2.1. Give the potential additional vehicle kilometers for the vehicle categories below (public transport) if more vehicle kilometers are expected as a result of the planned measures for the corresponding year.\nExample of measure: Extension of the bus network (e.g. increase in frequency)"}]
[null,{"$f":"Descri38","v":"2.2. Please adjust the occupancy rate if the number of passenger per vehicle is expected to be impacted by the planned measures for the corresponding year.\nExample: Decreasing the train ticket price would increase the number of passengers per train."}]
[null,{"$f":"Descri40","v":"2.3. If one of the two parameters (vehicle kilometer or occupancy) is impacted it is mandatory to specify the transport mode that is the source of these new trips in the table \"Origin mode of transportation of new PT passengers\" for the corresponding year and for each \"goal transport mode\".\nExample: The goal transport modes categories are buses and train. Concerning the extensions of the train planned for 2020 the new users are expected to be for 50% of them previous bus users, 25% car users and 25% motorcycle users. And the users of a new bus line opening in 2025 are expected to be for 50% of them previous car users, 30% NMT users and 20% of trips will be induced.\nRemark 1: Do not forget to also enter on sheet 2A the average trip length of vehicle types that occur only in the climate scenario.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years."}]
[]
[null,null,{"$f":"Category","v":"Category"},{"$f":"vktbase","v":"Base vkt [Mio. km]"}]
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[]
[]
[{"$f":"resultstrans","v":"Results of the transport demand measures"}]
[null,{"$f":"Category","v":"Category"},null,{"$f":"scenariovkt","v":"Scenario vkt [Mio. km]"},null,null,null,null,null,{"$f":"Category","v":"Category"},null,{"$f":"Transportperf","v":"Transport performance [Mio. pkm]"}]
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[null,{"$f":"Total","v":"Sum"},"Scenario 2)",{"$f":"SUM(D203:D214)","v":0},{"$f":"SUM(E203:E214)","v":0},{"$f":"SUM(F203:F214)","v":0},{"$f":"SUM(G203:G214)","v":0},{"$f":"SUM(H203:H214)","v":0},null,{"$f":"Total","v":"Sum"},"Scenario 2)",{"$f":"SUM(L203:L214)","v":0},{"$f":"SUM(M203:M214)","v":0},{"$f":"SUM(N203:N214)","v":0},{"$f":"SUM(O203:O214)","v":0},{"$f":"SUM(P203:P214)","v":0}]
[]
[]
[{"$f":"Perfaltern","v":"3) Improve: Penetration of alternative energies"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri43","v":"Please give the share of the vehicle kilometers travelled per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, but you have to enter a share of all modes only present in the climate scenario."}]
[null,{"$f":"Descri23","v":"Remark: The sum of shares in each vehicle category has to be 100 %. The share of each fuel type should be coherent between the different years as the replacement of vehicles in previous years obvisouly impacts the following years. The user must ensure that data input are realistic with the fleet composition and evolution."}]
[null,{"$f":"Descri44","v":"Example of measure: A funding project leading to the renewal of the car fleet increases the number of kilometers travelled by alternative fuel vehicles."}]
[null,{"$f":"Category","v":"Category"},null,{"$f":"MileageshareBAU","v":"Vkt share by fuel in the BAU scenario [%]"},null,null,null,null,null,{"$f":"Mileageshareclimate","v":"Vkt share by fuel for Climate scenario [%]"},null,null,null,null,null,{"$f":"mileageclimatescen","v":"Vkt by fuel climate scenario [Mio. km]"}]
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[]
[]
[{"$f":"Improvefuelcons","v":"4) Improve: Adjustment of fuel/energy consumption"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri45","v":"Please adjust the specific fuel consumption (please pay attention to the units) for each vehicle category and date. DO NOT FORGET TO ALSO GIVE FUEL CONSUMPTIONS for the vehicles you DID NOT HAVE in the Inventory or BAU. If there is no change compared to the BAU, you do not have to enter new values."},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,0,0]
[null,{"$f":"Descri91","v":"Remark: The fuel consumption of vehicles for each type of fuel should be coherent between the different years as the change in fuel consumption in previous year may obvisously show impacts in the following years. The user must ensure that data input are realistic with the fleet composition and its evolution."}]
[null,{"$f":"Descri46","v":"Example: Speed limit of 30 km/h in cities or/and 100 km/h on national highways lead to a lower specific fuel/energy consumption."}]
[null,{"$f":"Category","v":"Category"},null,null,{"$f":"FuelconsBAU","v":"Specific fuel/energy consumption in the BAU scenario "},null,null,null,null,null,{"$f":"Fuelconsclimate","v":"Specific fuel/energy consumption in the climate scenario "},null,null,null,null,null,{"$f":"Totalfuelconsclim","v":"TOTAL energy consumption of vehicles climate scenario [TJ]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Fuel","v":"Fuel type"},"Unit",{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0},null,{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0},null,{"$f":"J18","v":0},{"$f":"K18","v":0},{"$f":"L18","v":0},{"$f":"M18","v":0},{"$f":"N18","v":0}]
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[null,{"$f":"RedGHGpass","v":"GHG emission reductions - passenger transport"}]
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[{"$f":"Climatescen","v":"Climate scenario"}]
[{"$f":"Graph4","v":"Vkt individual passenger transport [Mio. km]"}]
[{"$f":"BAU","v":"Business-as-usual"}]
[{"$f":"Climatescen","v":"Climate scenario"}]
[{"$f":"Graph6","v":"Vkt public transport [Mio. km]"}]
[{"$f":"Miokm","v":"Mio. Km"}]
[{"$f":"Modalsplit","v":"Modal split [pkm]"}]
[]
[{"$f":"scenariovkt","v":"Scenario vkt [Mio. km]"},{"$f":"+totalkm","v":"Total vkt"},{"$f":"+'5A Calculation BAU'!I37","v":0},{"$f":"+'5A Calculation BAU'!J37","v":0},{"$f":"+'5A Calculation BAU'!K37","v":0},{"$f":"+'5A Calculation BAU'!L37","v":0},{"$f":"+'5A Calculation BAU'!M37","v":0}]
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[null,{"$f":"+Climat","v":"Climate"},{"$f":"+'5B Calcul. Climate Scen.'!P670","v":0},{"$f":"+'5B Calcul. Climate Scen.'!Q670","v":0},{"$f":"+'5B Calcul. Climate Scen.'!R670","v":0},{"$f":"+'5B Calcul. Climate Scen.'!S670","v":0},{"$f":"+'5B Calcul. Climate Scen.'!T670","v":0}]
[null,"Diff",{"$f":"C434-C433","v":0},{"$f":"D434-D433","v":0},0,0,0]
[]
[null,"Total pkm",{"$f":"C432","v":0},{"$f":"D432","v":0},{"$f":"E432","v":0},{"$f":"F432","v":0},{"$f":"G432","v":0}]
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[]
[]
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[]
[{"$f":"donottouchPREVENTION","v":"Do not touch - for error prevention "}]
[null,"with upstream calculation","pkm",null,null,null,null,null,null,"vkt"]
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[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,{"$f":"SUM(C846:G857)","v":0},null,null,null,null,null,null,{"$f":"SUM(J846:N857)","v":0}]
[]
[null,"without upstream calculation","Avoid - avoided vkt ",null,null,null,null,null,null,"Shift - additional vkt"]
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[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,null,null,null,null,null,null,{"$f":"SUM(J861:N868)","v":0}]
[null,null,0,0,0,0,0,null,null,"Shift - occupancy rate"]
[null,null,0,0,0,0,0,null,null,{"$f":"IF(D84=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,{"$f":"SUM(C861:G871)","v":0},null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,"Check that all fields are empty",null,null,null,null,null,null,0,0,0,0,0]
[null,null,{"$f":"SUM(H872,O869,O878,O983)","v":0},null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,"Check approaches used",null,null,null,null,null,null,null,0,0,0,0,0]
[null,{"$f":"IF(AND($C$875<>0,SUM($H$858,$O$858)),SUM($C$875,$H$858,$O$858),0)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(J871:N877)","v":0}]
[null,null,null,null,null,null,null,null,null,"Shift - origin mode "]
[null,null,null,null,null,null,null,null,null,{"$f":"IF(D95=\"\",0,1)","v":0},{"$f":"IF(E95=\"\",0,1)","v":0},{"$f":"IF(F95=\"\",0,1)","v":0},{"$f":"IF(G95=\"\",0,1)","v":0},{"$f":"IF(H95=\"\",0,1)","v":0}]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
["Max. avoided vkt ",{"$f":"IF(J40>0.3,1,0)","v":0},{"$f":"IF(K40>0.3,1,0)","v":0},{"$f":"IF(L40>0.3,1,0)","v":0},{"$f":"IF(M40>0.3,1,0)","v":0},{"$f":"IF(N40>0.3,1,0)","v":0},null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,0,0,0,0,0]
[null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,null,{"$f":"IF(D108=\"\",0,1)","v":0},{"$f":"IF(E108=\"\",0,1)","v":0},{"$f":"IF(F108=\"\",0,1)","v":0},{"$f":"IF(G108=\"\",0,1)","v":0},{"$f":"IF(H108=\"\",0,1)","v":0}]
[null,null,null,null,null,null,{"$f":"SUM(B883:F893)","v":0},null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,null,{"$f":"IF(D121=\"\",0,1)","v":0},{"$f":"IF(E121=\"\",0,1)","v":0},{"$f":"IF(F121=\"\",0,1)","v":0},{"$f":"IF(G121=\"\",0,1)","v":0},{"$f":"IF(H121=\"\",0,1)","v":0}]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,null,{"$f":"IF(D134=\"\",0,1)","v":0},{"$f":"IF(E134=\"\",0,1)","v":0},{"$f":"IF(F134=\"\",0,1)","v":0},{"$f":"IF(G134=\"\",0,1)","v":0},{"$f":"IF(H134=\"\",0,1)","v":0}]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,null,{"$f":"IF(D147=\"\",0,1)","v":0},{"$f":"IF(E147=\"\",0,1)","v":0},{"$f":"IF(F147=\"\",0,1)","v":0},{"$f":"IF(G147=\"\",0,1)","v":0},{"$f":"IF(H147=\"\",0,1)","v":0}]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,0,0,0,0,0]
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{"sheet":"3A Results Climate Scen. Pass","index":6,"n_rows":4,"n_cols":5,"rows_kept":4,"cut":false,"hidden":false,"merged":[[4,0,4,1],[1,4,1,21],[2,4,5,21]]}
[{"$f":"Tab","v":"Tab"},"3A"]
[{"$f":"subsector","v":"Sub-sector"},{"$f":"Passtrans","v":"Passenger transportation"},null,null,{"$f":"Text31","v":"3A Results Climate Scen Pass"}]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0},null,null,{"$f":"text32","v":"The user can find here the results of the passenger climate scenario corresponding to the inputs given in Tab \"3A Input climate Scen pass\".\nThe results display:\n- the GHG emissions of the passebger climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in tkm)"}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0}]

{"sheet":"3B Input Climate Scen. Freight","index":7,"n_rows":537,"n_cols":21,"rows_kept":537,"cut":false,"hidden":false,"merged":[[0,3,0,15],[12,3,12,7],[12,8,12,11],[12,12,12,15],[11,3,11,7],[13,3,13,7],[13,8,13,11],[13,12,13,15],[516,2,516,6],[387,2,387,6],[131,1,131,19],[48,1,48,20],[119,9,119,13],[119,2,119,6],[50,1,50,19],[238,1,238,3],[238,7,238,9],[238,13,238,15],[238,4,238,6],[238,10,238,12],[237,1,237,15],[134,15,134,19],[190,16,190,20],[190,4,190,8],[4,0,4,1],[1,3,9,15],[190,10,190,14],[134,3,134,7],[134,9,134,13],[36,8,36,12],[36,2,36,6],[51,3,51,7],[60,3,60,7],[78,2,78,6],[21,0,29,0],[70,0,77,0],[15,3,15,15],[69,2,69,7],[34,1,35,20],[19,1,19,18],[21,2,21,6],[36,14,36,18],[21,9,21,13],[36,7,43,7]]}
[{"$f":"Tab","v":"Tab"},"3B",null,{"$f":"Text9","v":"3B Input Climate Scen. Freight"}]
[{"$f":"subsector","v":"Sub-sector"},{"$f":"Freighttrans","v":"Freight transportation"},null,{"$f":"Text10","v":"This sheets enables calculating a climate scenario, based on mitigations actions, for the freight transportation sector. In order to derive transport demand data for the calculations two different data input approaches are distiguished and the user has to choose which one to apply. In order to avoid wrong results please choose and apply just one approach.\n\nWhen choosing the first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) from calculations which were provided by an external transport planning tool. Once the two tables were filled, the user can skip the next sections and continue with step 3)\n\nIf no data from a transport planning tool are available, the second step by step approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. The \"ASI\" (Avoid/Shift/Improve) approach is used to calculate the potential GHG savings from mitigation measures. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type. E.g. The introduction of highway toll for trucks may lead to 5% avoided vehicle kilometers travelled (vkt) from trucks.\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption"}]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0}]
[]
[]
[{"$f":"colourcode","v":"Colour code"}]
[{"$f":"Input","v":"Data input"}]
[{"$f":"disabledinput","v":"Data input disabled"}]
[{"$f":"Calculatedcell","v":"Calculated cell"}]
[{"$f":"error","v":"Error"}]
[{"$f":"default","v":"Default values"},null,null,{"$f":"Generalerror","v":"Error message will be shown here if detected"}]
[null,null,null,{"$f":"IF($B$500<>0,Error20,\"\")","v":""},null,null,null,null,{"$f":"IF($G$459+$G$467<>0,Error18,\"\")","v":""},null,null,null,{"$f":"IF(G426<>0,Error7,\"\")","v":""}]
[null,null,null,{"$f":"IF($G$450<>0,Error19,\"\")","v":""},null,null,null,null,{"$f":"IF(G441<>0,Error9,\"\")","v":""},null,null,null,{"$f":"IF(N462<>0,Error8,\"\")","v":""}]
[]
[null,null,null,{"$f":"Text25","v":"The sheet has to be filled in from the top to the bottom.\nPlease note that you have to choose between the approach \"with upstream calculations\" and the approach \"without upstream calculations\" (sections 1 Avoid and 2 Shift). If you fill in both, the tool might not work properly!\nSections 3 and 4 (Improve) can be filled in regardless of the chosen approach. If a vehicle and/or fuel type not used in the BAU is entered above, the information concerning this new type has to be given in sections 3 and/or 4."}]
[]
[{"$f":"planningtool","v":"WITH UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA FROM EXTERNAL TRANSPORT PLANNING TOOL"}]
[]
[{"$f":"Description","v":"Description"},{"$f":"Descri16","v":"Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. ton-kilometers in the table on the right optional for GHG but recommanded if you need any key performance indicator including ton kilometer) as delivered by the transport plannig tool for the reference year.\nRemark 1: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\"."}]
[]
[{"$f":"IF($B$371<>0,Error17,IF($G$321<>0,Error16,\"\"))","v":""},{"$f":"Category","v":"Category"},{"$f":"Milannualkm","v":"Vehicle kilometers travelled [Mio. km]"},null,null,null,null,null,{"$f":"Category","v":"Category"},{"$f":"Transportperformancefreight","v":"Transport performance [Mio. tkm]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"'2A Input Base and BAU'!G20","v":0},{"$f":"'2A Input Base and BAU'!H20","v":0},{"$f":"'2A Input Base and BAU'!I20","v":0},{"$f":"'2A Input Base and BAU'!J20","v":0},{"$f":"'2A Input Base and BAU'!K20","v":0}]
[null,{"$f":"I24","v":0},null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B47","v":0}]
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[null,0,null,null,null,null,null,null,{"$f":"'2A Input Base and BAU'!B52","v":0}]
[null,{"$f":"Total","v":"Sum"},{"$f":"SUM(C24:C29)","v":0},{"$f":"SUM(D24:D29)","v":0},{"$f":"SUM(E24:E29)","v":0},{"$f":"SUM(F24:F29)","v":0},{"$f":"SUM(G24:G29)","v":0},null,{"$f":"Total","v":"Sum"},{"$f":"SUM(J24:J29)","v":0},{"$f":"SUM(K24:K29)","v":0},0,0,0]
[]
[]
[{"$f":"withoutplanning","v":"WITHOUT UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA CALCULATIONS WITHIN THIS TOOL"}]
[{"$f":"Descri30","v":"1) Avoid: Avoided vehicle kilometers travelled (vkt)"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri49","v":"Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compared to the same year in the BAU.\nExample: Improvement of logistic routes reduces vehicle kilometers\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 5% avoided vkt of light commercial vehicles, 2% avoided vkt of heavy commercial vehicles (solo & articulated truck) and 12% avoided vkt of freight trains compared to 2019 (source: ifeu). Planned climate measures are likely to have a  lower impact. "}]
[]
[null,{"$f":"Category","v":"Category"},{"$f":"vktbase","v":"Base vkt [Mio. km]"},null,null,null,null,{"$f":"IF($G$382>0,Error21,\"\")","v":""},{"$f":"avoidedvkt","v":"Avoided motorised vkt [%]"},null,null,null,null,null,{"$f":"scenariovkt","v":"Scenario vkt [Mio. km]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0}]
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[]
[]
[{"$f":"Descri36","v":"2) Shift: Shift of transport from the current to public transport modes"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri58","v":"The Shift measures follow a three-steps approach: \n2.1. Give the potential additional vehicle kilometers  for the vehicle categories below if more vehicle kilometers are expected as a result of the planned measures for the corresponding year. \nExample: Expansion of railway networks or extension of service (increase in the frequency of freight trains for example) increase the number of vehicle kilometers\n"}]
[null,{"$f":"Descri50","v":"2.2. Please adjust the load factor if the amount of goods transported per vehicle is expected to be impacted by the planned measures for the corresponding year. \nExample: Higher load of trains planned by the national railway due to a new software optimising the routing of trains.\n "}]
[null,{"$f":"Descri51","v":"2.3. If one of the two parameters (vehicle kilometer or load) are impacted it is mandatory to specify the source transport mode of this new ton-vehicle kilometers in the table \"original mode of the shifted tkm\" for the corresponding year and for each \"goal vehicle category \", i.e. the categories for which kilometers or load have been changed.\nExample: the goal category is train. Based on local expertise around 50% of the ton-kilometer are coming from articulated truck, 40% from solo truck and 10% are induced. These ton-kilometers are then considered as suppressed. \nRemark 1: Please consider that this step is an approximation, as logistical chains are very complex and it is almost impossible without a precise model to give the exact share of ton-kilometer transferred. For a precise modeling, please use the first step with transport planning tool.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years."}]
[null,null,{"$f":"Category","v":"Category"},{"$f":"vktbase","v":"Base vkt [Mio. km]"}]
[null,null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0}]
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[]
["2.1",null,{"$f":"Category","v":"Category"},{"$f":"addmileage","v":"Additional vkt [Mio. km]"}]
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[]
["2.2",{"$f":"Category","v":"Category"},{"$f":"loadvehicle","v":"Load per vehicle [Tons/vehicle]"}]
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[]
["2.3",{"$f":"Subcategory","v":"Subcategory"},{"$f":"fretorigin","v":"Origin mode of the shifted tkm  [%]"}]
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[]
[{"$f":"resultstrans","v":"Results of the transport demand measures"}]
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[null,{"$f":"Total","v":"Sum"},{"$f":"SUM(C122:C127)","v":0},{"$f":"SUM(D122:D127)","v":0},{"$f":"SUM(E122:E127)","v":0},{"$f":"SUM(F122:F127)","v":0},{"$f":"SUM(G122:G127)","v":0},null,{"$f":"Total","v":"Sum"},{"$f":"SUM(J122:J127)","v":0},{"$f":"SUM(K122:K127)","v":0},{"$f":"SUM(L122:L127)","v":0},{"$f":"SUM(M122:M127)","v":0},{"$f":"SUM(N122:N127)","v":0}]
[]
[]
[{"$f":"Perfaltern","v":"3) Improve: Penetration of alternative energies"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri61","v":"Please give the share of the vehicle kilometers driven per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, except for new vehicle type within the climate scenario."}]
[null,{"$f":"Descri91","v":"Remark: The fuel consumption of vehicles for each type of fuel should be coherent between the different years as the change in fuel consumption in previous year may obvisously show impacts in the following years. The user must ensure that data input are realistic with the fleet composition and its evolution."}]
[null,{"$f":"Descri44","v":"Example of measure: A funding project leading to the renewal of the car fleet increases the number of kilometers travelled by alternative fuel vehicles."}]
[null,{"$f":"Category","v":"Category"},null,{"$f":"MileageshareBAU","v":"Vkt share by fuel in the BAU scenario [%]"},null,null,null,null,null,{"$f":"Mileageshareclimate","v":"Vkt share by fuel for Climate scenario [%]"},null,null,null,null,null,{"$f":"mileageclimatescen","v":"Vkt by fuel climate scenario [Mio. km]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Fuel","v":"Fuel type"},{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0}]
[null,{"$f":"'2A Input Base and BAU'!B202","v":0},{"$f":"'2A Input Base and BAU'!C202","v":"all"},{"$f":"'2A Input Base and BAU'!E202","v":"-"},{"$f":"'2A Input Base and BAU'!F202","v":"-"},{"$f":"'2A Input Base and BAU'!G202","v":"-"},{"$f":"'2A Input Base and BAU'!H202","v":"-"},{"$f":"'2A Input Base and BAU'!I202","v":"-"},null,{"$f":"IF(SUM(J138:J144)>0,SUM(J138:J144),\"-\")","v":"-"},{"$f":"IF(SUM(K138:K144)>0,SUM(K138:K144),\"-\")","v":"-"},{"$f":"IF(SUM(L138:L144)>0,SUM(L138:L144),\"-\")","v":"-"},"-","-",null,{"$f":"SUM(P138:P144)","v":0},{"$f":"SUM(Q138:Q144)","v":0},0,0,0]
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[]
[]
[{"$f":"Improvefuelcons","v":"4) Improve: Adjustment of fuel/energy consumption"}]
[{"$f":"Description","v":"Description"},{"$f":"Descri45","v":"Please adjust the specific fuel consumption (please pay attention to the units) for each vehicle category and date. DO NOT FORGET TO ALSO GIVE FUEL CONSUMPTIONS for the vehicles you DID NOT HAVE in the Inventory or BAU. If there is no change compared to the BAU, you do not have to enter new values."}]
[null,{"$f":"Descri91","v":"Remark: The fuel consumption of vehicles for each type of fuel should be coherent between the different years as the change in fuel consumption in previous year may obvisously show impacts in the following years. The user must ensure that data input are realistic with the fleet composition and its evolution."}]
[null,{"$f":"Descri63","v":"Example: Prohibition of vehicles which are 20 years old may lead to a lower average fuel consumption."}]
[null,{"$f":"Category","v":"Category"},null,null,{"$f":"FuelconsBAU","v":"Specific fuel/energy consumption in the BAU scenario "},null,null,null,null,null,{"$f":"Fuelconsclimate","v":"Specific fuel/energy consumption in the climate scenario "},null,null,null,null,null,{"$f":"Totalfuelconsclim","v":"TOTAL energy consumption of vehicles climate scenario [TJ]"}]
[null,{"$f":"Subcategory","v":"Subcategory"},{"$f":"Fuel","v":"Fuel type"},{"$f":"Unit","v":"Unit"},{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0}]
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[]
[]
[{"$f":"Graph1","v":"Modal split freight [based on tkm]"}]
[{"$f":"Graph5","v":"Vkt freight [Mio. km]"}]
[]
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[{"$f":"vktMilkm","v":"Vkt [Mio. km]"}]
[]
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[{"$f":"donottouchError","v":"Do not touch - for error detection"}]
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[null,null,null,null,null,null,{"$f":"SUM(B461:F466)","v":0}]
[]
[]
[]
[]
[]
[{"$f":"donottouchPREVENTION","v":"Do not touch - for error prevention "}]
[null,"with upstream calculation","tkm",null,null,null,null,null,"vkt"]
[null,null,{"$f":"IF(J24=\"\",0,1)","v":0},0,0,0,0,null,{"$f":"IF(C24=\"\",0,1)","v":0},0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,null,null,null,null,null,{"$f":"SUM(C475:G480)","v":0},null,null,null,null,null,{"$f":"SUM(I475:M480)","v":0}]
[null,null,"Check that all fields are empty"]
[null,null,{"$f":"SUM(H481,N481)","v":0}]
[]
[null,"without upstream calculation","Avoid - avoided vkt",null,null,null,null,null,"Shift - additional vkt"]
[null,null,{"$f":"IF(I39=\"\",0,1)","v":0},0,0,0,0,null,{"$f":"IF(D63=\"\",0,1)","v":0},0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,0,0,0,0,0,null,0,0,0,0,0]
[null,null,null,null,null,null,null,{"$f":"SUM(C486:G491)","v":0},null,null,null,null,null,{"$f":"SUM(I486:M491)","v":0}]
[null,null,"Check that all fields are empty",null,null,null,null,null,"Shift - load per vehicle"]
[null,null,{"$f":"SUM(H492,N492,N500,N537)","v":0},null,null,null,null,null,{"$f":"IF(D72=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,"Check approaches used",null,null,null,null,null,null,0,0,0,0,0]
[null,{"$f":"IF(AND($C$483<>0,$C$494<>0),SUM($C$483,$C$494),0)","v":0},null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(I494:M499)","v":0}]
[null,null,null,null,null,null,null,null,"Shift - origin mode"]
[null,null,null,null,null,null,null,null,{"$f":"IF(C82=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
["Max. avoided vkt",{"$f":"IF(I39>0.3,1,0)","v":0},0,0,0,0,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,{"$f":"IF(C88=\"\",0,1)","v":0},0,0,0,0]
[null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,0,0,0,0,0,null,null,0,0,0,0,0]
[null,null,null,null,null,null,{"$f":"SUM(B505:F510)","v":0},null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,{"$f":"IF(C94=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
["Load factor - implicit calculation",{"$f":"I22","v":"Category"},{"$f":"loadvehicle","v":"Load per vehicle [Tons/vehicle]"},null,null,null,null,null,0,0,0,0,0]
[null,"Subcategory",{"$f":"J23","v":0},{"$f":"K23","v":0},{"$f":"L23","v":0},{"$f":"M23","v":0},{"$f":"N23","v":0},null,0,0,0,0,0]
[null,0,{"$f":"IF(AND(J24>0,C24>0),IFERROR(J24/C24,\"\"),\"\")","v":""},"","","",""]
[null,0,"","","","","",null,{"$f":"IF(C100=\"\",0,1)","v":0},0,0,0,0]
[null,0,"","","","","",null,0,0,0,0,0]
[null,0,"","","","","",null,0,0,0,0,0]
[null,0,"","","","","",null,0,0,0,0,0]
[null,0,"","","","","",null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,{"$f":"IF(C106=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[]
[null,null,null,null,null,null,null,null,{"$f":"IF(C112=\"\",0,1)","v":0},0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(I502:M536)","v":0}]

{"sheet":"3B Results Climate Scen freight","index":8,"n_rows":4,"n_cols":5,"rows_kept":4,"cut":false,"hidden":false,"merged":[[4,0,4,1],[2,4,2,17],[3,4,8,17]]}
[{"$f":"Tab","v":"Tab"},"3B"]
[{"$f":"subsector","v":"Sub-sector"},{"$f":"Freighttrans","v":"Freight transportation"}]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0},null,null,{"$f":"Text29","v":"3B Results Climate Scen freight"}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0},null,null,{"$f":"Text30","v":"The user can find here the results of the freigth climate scenario corresponding to the inputs given in Tab \"3B Input climate Scen freight\".\nThe results display:\n- the GHG emissions of the freight climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in pkm)\n"}]

{"sheet":"4 Overview of results","index":9,"n_rows":250,"n_cols":86,"rows_kept":250,"cut":false,"hidden":false,"merged":[[158,1,163,1],[146,1,150,1],[144,1,144,15],[151,1,157,1],[142,1,142,16],[117,12,117,17],[131,12,131,17],[57,9,58,9],[188,2,190,2],[172,2,174,2],[176,2,178,2],[180,2,182,2],[184,2,186,2],[1,3,1,12],[117,0,118,0],[117,9,118,9],[131,0,132,0],[131,9,132,9],[117,3,117,8],[131,3,131,8],[49,1,49,7],[49,9,49,15],[2,3,3,12],[8,2,8,3],[11,2,12,3],[9,2,10,3],[9,4,10,10],[11,4,12,10],[55,9,55,15]]}
[{"$f":"Tab","v":"Tab"},4]
[{"$f":"subsector","v":"Sub-sector"},{"$f":"all","v":"all"},null,{"$f":"Text13","v":"4 Overview of results"}]
[{"$f":"Candc","v":"Country and city"},{"$f":"'Get started'!C7","v":0},null,{"$f":"Text14","v":"This sheet presents the results of the base year, the BAU scenario and the Climate scenario for both road and rail transport as well as for passengers and freight transportation.\n\nThe results of the emissions comparing the BAU scenario and the climate scenario are shown in the graphs below. The specific performance indicators are visible in the last table, allowing to compare the values between different years and scenarios."}]
[{"$f":"yearref","v":"Reference year"},{"$f":"'Get started'!C8","v":0}]
[]
[null,null,{"$f":"ShowErrors","v":"Highlight errors in input cells on sheets 2A, 3A and 3B (select \"yes\" if error messages are shown below in order to facilitate error correction):"}]
[null,null,"no"]
[{"$f":"colourcode","v":"Colour code"}]
[{"$f":"Input","v":"Data input"},null,{"$f":"Generalerror","v":"Error message will be shown here if detected"}]
[{"$f":"disabledinput","v":"Data input disabled"},null,{"$f":"IF(OR('1 Vehicles and Fuels'!$C$7=Error1,'1 Vehicles and Fuels'!$C$9=Error22),Error2,\"\")","v":""},null,{"$f":"IF(OR('3A Input Climate Scen. Pass.'!$E$7<>\"\",'3A Input Climate Scen. Pass.'!$E$9<>\"\",'3A Input Climate Scen. Pass.'!$I$7<>\"\",'3A Input Climate Scen. Pass.'!$I$9<>\"\",'3A Input Climate Scen. Pass.'!$N$7<>\"\",'3A Input Climate Scen. Pass.'!$N$9<>\"\"),error10,\"\")","v":""}]
[{"$f":"Calculatedcell","v":"Calculated cell"}]
[{"$f":"error","v":"Error"},null,{"$f":"IF(OR('2A Input Base and BAU'!$B$13=Error12,'2A Input Base and BAU'!$B$15=Error3,'2A Input Base and BAU'!$H$13=Error4,'2A Input Base and BAU'!$H$15=Error5),Error6,\"\")","v":""},null,{"$f":"IF(OR('3B Input Climate Scen. Freight'!$D$13<>\"\",'3B Input Climate Scen. Freight'!$D$14<>\"\",'3B Input Climate Scen. Freight'!$I$13<>\"\",'3B Input Climate Scen. Freight'!$I$14<>\"\",'3B Input Climate Scen. Freight'!$M$13<>\"\",'3B Input Climate Scen. Freight'!$M$14<>\"\"),error11,\"\")","v":""}]
[{"$f":"default","v":"Default values"}]
[]
[{"$f":"Description71&\" (\"&B4&\")\"","v":"1) Type of result and inventory (0)"}]
[]
[]
[]
[null,{"$f":"CRF","v":"CRF code IPCC"},{"$f":"IPCCcategories","v":"IPCC categories"},{"$f":"ttghg &'Get started'!$C$10","v":" 1000 t GHG WTW"}]
[null,"1.A.3.b.i",{"$f":"Roadc","v":"Road - car"},{"$f":"+SUMIF('5B Calcul. Climate Scen.'!$A$285:$A$403,$B20,'5B Calcul. Climate Scen.'!$AI$285:$AI$403)","v":0}]
[null,"1.A.3.b.ii",{"$f":"Roadlcv","v":"Road - LCV"},{"$f":"+SUMIF('5B Calcul. Climate Scen.'!$A$285:$A$403,$B21,'5B Calcul. Climate Scen.'!$AI$285:$AI$403)","v":0}]
[null,"1.A.3.b.iii",{"$f":"roadtb","v":"Road - truck and busses"},{"$f":"+SUMIF('5B Calcul. Climate Scen.'!$A$285:$A$403,$B22,'5B Calcul. Climate Scen.'!$AI$285:$AI$403)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null," "]
[null,"1.A.3.b.iv",{"$f":"roadm","v":"Road - motorcycle"},{"$f":"+SUMIF('5B Calcul. Climate Scen.'!$A$285:$A$403,$B23,'5B Calcul. Climate Scen.'!$AI$285:$AI$403)","v":0}]
[null,"1.A.3.c",{"$f":"Rail","v":"Rail"},{"$f":"+SUMIF('5B Calcul. Climate Scen.'!$A$285:$A$403,$B24,'5B Calcul. Climate Scen.'!$AI$285:$AI$403)","v":0}]
[null,{"$f":"Total","v":"Sum"},null,{"$f":"+SUM($D$20:$D$24)","v":0}]
[]
[{"$f":"Pass","v":"Passengers"},{"$f":"CRF","v":"CRF code IPCC"},"Vehicle type","gCO2/PKM"]
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[null,{"$f":"crfc2","v":0},{"$f":"'2A Input Base and BAU'!B37","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C29)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C29),\"\")","v":""}]
[null,{"$f":"crfc3","v":0},{"$f":"'2A Input Base and BAU'!B38","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C30)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C30),\"\")","v":""}]
[null,{"$f":"crfc4","v":0},{"$f":"'2A Input Base and BAU'!B39","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C31)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C31),\"\")","v":""}]
[null,{"$f":"crfc5","v":0},{"$f":"'2A Input Base and BAU'!B40","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C32)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C32),\"\")","v":""}]
[null,{"$f":"crfc6","v":0},{"$f":"'2A Input Base and BAU'!B41","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C33)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C33),\"\")","v":""}]
[null,{"$f":"crfc7","v":0},{"$f":"'2A Input Base and BAU'!B42","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C34)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C34),\"\")","v":""}]
[null,{"$f":"crfc8","v":0},{"$f":"'2A Input Base and BAU'!B43","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C35)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C35),\"\")","v":""}]
[null,{"$f":"crfc9","v":0},{"$f":"'2A Input Base and BAU'!B44","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C36)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C36),\"\")","v":""}]
[null,{"$f":"crfc10","v":0},{"$f":"'2A Input Base and BAU'!B45","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C37)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C37),\"\")","v":""}]
[null,{"$f":"crfc11","v":0},{"$f":"'2A Input Base and BAU'!B46","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$256:$AQ$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C38)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$G$256:$G$266,'5B Calcul. Climate Scen.'!$D$256:$D$266,$C38),\"\")","v":""}]
[{"$f":"goods","v":"Freight"},"CRF code","Vehicle Type","gCO2/TKM"]
[null,{"$f":"crfc12","v":0},{"$f":"'2A Input Base and BAU'!B47","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C40)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C40),\"\")","v":""}]
[null,{"$f":"crfc13","v":0},{"$f":"'2A Input Base and BAU'!B48","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C41)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C41),\"\")","v":""}]
[null,{"$f":"crfc14","v":0},{"$f":"'2A Input Base and BAU'!B49","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C42)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C42),\"\")","v":""}]
[null,{"$f":"crfc15","v":0},{"$f":"'2A Input Base and BAU'!B50","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C43)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C43),\"\")","v":""}]
[null,{"$f":"crfc16","v":0},{"$f":"'2A Input Base and BAU'!B51","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C44)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C44),\"\")","v":""}]
[null,{"$f":"crfc17","v":0},{"$f":"'2A Input Base and BAU'!B52","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!$AQ$267:$AQ$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C45)*10^3/SUMIFS('5B Calcul. Climate Scen.'!$O$267:$O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$C45),\"\")","v":""}]
[]
[]
[{"$f":"Descri71","v":"2) Results of GHG Emissions from road and rail Transport in the BAU and Climate scenario"}]
[]
[null,{"$f":"Referencing!B426&'Get started'!$C$10","v":"Total GHG emissions BAU scenario WTW"},null,null,null,null,null,null,null,{"$f":"Referencing!B427& 'Get started'!$C$10","v":"Total GHG emissions climate scenario WTW"}]
[null,{"$f":"ScenBAU","v":"BAU scenario"},{"$f":"+$B$4","v":0},{"$f":"'2A Input Base and BAU'!G20","v":0},{"$f":"'2A Input Base and BAU'!H20","v":0},{"$f":"'2A Input Base and BAU'!I20","v":0},{"$f":"'2A Input Base and BAU'!J20","v":0},{"$f":"'2A Input Base and BAU'!K20","v":0},null,{"$f":"Climatescen","v":"Climate scenario"},{"$f":"+$B$4","v":0},{"$f":"D51","v":0},{"$f":"E51","v":0},0,0,0]
[null,{"$f":"passBAU","v":"BAU passenger"},{"$f":"'5B Calcul. Climate Scen.'!AI407","v":0},{"$f":"'5B Calcul. Climate Scen.'!AJ407","v":0},{"$f":"'5B Calcul. Climate Scen.'!AK407","v":0},{"$f":"'5B Calcul. Climate Scen.'!AL407","v":0},{"$f":"'5B Calcul. Climate Scen.'!AM407","v":0},{"$f":"'5B Calcul. Climate Scen.'!AN407","v":0},null,{"$f":"Passclim","v":"Climate passenger"},{"$f":"'5B Calcul. Climate Scen.'!AL670","v":0},{"$f":"'5B Calcul. Climate Scen.'!AM670","v":0},{"$f":"'5B Calcul. Climate Scen.'!AN670","v":0},{"$f":"'5B Calcul. Climate Scen.'!AO670","v":0},{"$f":"'5B Calcul. Climate Scen.'!AP670","v":0},{"$f":"'5B Calcul. Climate Scen.'!AQ670","v":0}]
[null,{"$f":"freiBAU","v":"BAU freight"},{"$f":"'5B Calcul. Climate Scen.'!AI408","v":0},{"$f":"'5B Calcul. Climate Scen.'!AJ408","v":0},{"$f":"'5B Calcul. Climate Scen.'!AK408","v":0},{"$f":"'5B Calcul. Climate Scen.'!AL408","v":0},{"$f":"'5B Calcul. Climate Scen.'!AM408","v":0},{"$f":"'5B Calcul. Climate Scen.'!AN408","v":0},null,{"$f":"freightclim","v":"Climate freight"},{"$f":"'5B Calcul. Climate Scen.'!AL671","v":0},{"$f":"'5B Calcul. Climate Scen.'!AM671","v":0},{"$f":"'5B Calcul. Climate Scen.'!AN671","v":0},{"$f":"'5B Calcul. Climate Scen.'!AO671","v":0},{"$f":"'5B Calcul. Climate Scen.'!AP671","v":0},{"$f":"'5B Calcul. Climate Scen.'!AQ671","v":0}]
[null,{"$f":"Total","v":"Sum"},{"$f":"SUM(C52:C53)","v":0},{"$f":"SUM(D52:D53)","v":0},{"$f":"SUM(E52:E53)","v":0},0,0,0,null,{"$f":"Total","v":"Sum"},{"$f":"SUM(K52:K53)","v":0},{"$f":"SUM(L52:L53)","v":0},0,0,0,0]
[null,{"$f":"unitgraph","v":"GHG in thousand tCO2e "},null,null,null,null,null,null,null,{"$f":"unitgraph","v":"GHG in thousand tCO2e "}]
[null,null,null,null,null,null,null,null,null,{"$f":"DifGHG& 'Get started'!$C$10","v":"Difference of GHG emissions between BAU & climate scenario WTW"}]
[null,null,null,null,null,null,null,null,null,null,null,{"$f":"D51","v":0},{"$f":"E51","v":0},{"$f":"F51","v":0},{"$f":"G51","v":0},{"$f":"H51","v":0}]
[null,null,null,null,null,null,null,null,null,{"$f":"scenvsBAU","v":"climate scenario vs. BAU"},"1000 tCO2e",{"$f":"L54-D54","v":0},{"$f":"M54-E54","v":0},0,0,0]
[null,null,null,null,null,null,null,null,null,null,"relative difference",{"$f":"IFERROR(L54/D54-1,\"\")","v":""},{"$f":"IFERROR(M54/E54-1,\"\")","v":""},{"$f":"IFERROR(N54/F54-1,\"\")","v":""},{"$f":"IFERROR(O54/G54-1,\"\")","v":""},{"$f":"IFERROR(P54/H54-1,\"\")","v":""}]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2030]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'4 Overview of results'!F52-'4 Overview of results'!N52","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'4 Overview of results'!F53-'4 Overview of results'!N53","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"'4 Overview of results'!F54-'4 Overview of results'!N54","v":0}]
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[null,{"$f":"Descri92","v":"Negative emissions are savings, positive emissions are additional emissions"}]
[null,{"$f":"cumul","v":"The GHG emissions are cumulated on a linear hypothesis (linear regression between 2 reference years) and add up all the emissions avoided year by year from the base year to the year presented."}]
[]
[{"$f":"BAU","v":"Business-as-usual"},{"$f":"Pass","v":"Passengers"},{"$f":"Category","v":"Category"},"gCO2/PKM",null,null,null,null,null,{"$f":"Climatescen","v":"Climate scenario"},{"$f":"Pass","v":"Passengers"},{"$f":"Category","v":"Category"},"gCO2/PKM"]
[null,{"$f":"CRF","v":"CRF code IPCC"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"C51","v":0},{"$f":"D51","v":0},0,0,0,0,null,{"$f":"CRF","v":"CRF code IPCC"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"D119","v":0},0,0,0,0,0]
[null,{"$f":"crfc1","v":0},{"$f":"'2A Input Base and BAU'!B36","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$39:BA$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AC$13:AC$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$39:BB$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AD$13:AD$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$39:BC$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AE$13:AE$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$39:BD$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AF$13:AF$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$39:BE$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AG$13:AG$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$39:BF$115,'5A Calculation BAU'!$D$39:$D$115,$C120)*10^3/SUMIFS('5A Calculation BAU'!AH$13:AH$24,'5A Calculation BAU'!$D$13:$D$24,$C120),\"\")","v":""},null,{"$f":"crfc1","v":0},{"$f":"'2A Input Base and BAU'!B36","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$547:AL$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!G$255:G$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$547:AM$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!H$255:H$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$547:AN$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!I$255:I$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$547:AO$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!J$255:J$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$547:AP$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!K$255:K$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$547:AQ$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L120)*10^3/SUMIFS('5B Calcul. Climate Scen.'!L$255:L$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L120),\"\")","v":""}]
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[null,{"$f":"crfc7","v":0},{"$f":"'2A Input Base and BAU'!B42","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$39:BA$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AC$13:AC$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$39:BB$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AD$13:AD$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$39:BC$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AE$13:AE$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$39:BD$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AF$13:AF$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$39:BE$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AG$13:AG$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$39:BF$115,'5A Calculation BAU'!$D$39:$D$115,$C126)*10^3/SUMIFS('5A Calculation BAU'!AH$13:AH$24,'5A Calculation BAU'!$D$13:$D$24,$C126),\"\")","v":""},null,{"$f":"crfc7","v":0},{"$f":"'2A Input Base and BAU'!B42","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$547:AL$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!G$255:G$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$547:AM$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!H$255:H$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$547:AN$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!I$255:I$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$547:AO$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!J$255:J$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$547:AP$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!K$255:K$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$547:AQ$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L126)*10^3/SUMIFS('5B Calcul. Climate Scen.'!L$255:L$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L126),\"\")","v":""}]
[null,{"$f":"crfc8","v":0},{"$f":"'2A Input Base and BAU'!B43","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$39:BA$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AC$13:AC$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$39:BB$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AD$13:AD$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$39:BC$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AE$13:AE$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$39:BD$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AF$13:AF$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$39:BE$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AG$13:AG$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$39:BF$115,'5A Calculation BAU'!$D$39:$D$115,$C127)*10^3/SUMIFS('5A Calculation BAU'!AH$13:AH$24,'5A Calculation BAU'!$D$13:$D$24,$C127),\"\")","v":""},null,{"$f":"crfc8","v":0},{"$f":"'2A Input Base and BAU'!B43","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$547:AL$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!G$255:G$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$547:AM$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!H$255:H$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$547:AN$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!I$255:I$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$547:AO$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!J$255:J$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$547:AP$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!K$255:K$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$547:AQ$624,'5B Calcul. Climate Scen.'!$C$547:$C$624,$L127)*10^3/SUMIFS('5B Calcul. Climate Scen.'!L$255:L$266,'5B Calcul. Climate Scen.'!$D$255:$D$266,$L127),\"\")","v":""}]
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[]
[{"$f":"BAU","v":"Business-as-usual"},{"$f":"goods","v":"Freight"},{"$f":"Category","v":"Category"},"gCO2/TKM",null,null,null,null,null,{"$f":"Climatescen","v":"Climate scenario"},{"$f":"goods","v":"Freight"},{"$f":"Category","v":"Category"},"gCO2/TKM"]
[null,{"$f":"CRF","v":"CRF code IPCC"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"D119","v":0},0,0,0,0,0,null,{"$f":"CRF","v":"CRF code IPCC"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"D133","v":0},0,0,0,0,0]
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[null,{"$f":"crfc13","v":0},{"$f":"'2A Input Base and BAU'!B48","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$116:BA$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AJ$25:AJ$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$116:BB$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AK$25:AK$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$116:BC$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AL$25:AL$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$116:BD$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AM$25:AM$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$116:BE$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AN$25:AN$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$116:BF$157,'5A Calculation BAU'!$D$116:$D$157,$C135)*10^3/SUMIFS('5A Calculation BAU'!AO$25:AO$30,'5A Calculation BAU'!$D$25:$D$30,$C135),\"\")","v":""},null,{"$f":"crfc13","v":0},{"$f":"'2A Input Base and BAU'!B48","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$625:AL$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!O$267:O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$625:AM$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!P$267:P$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$625:AN$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!Q$267:Q$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$625:AO$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!R$267:R$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$625:AP$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!S$267:S$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$625:AQ$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L135)*10^3/SUMIFS('5B Calcul. Climate Scen.'!T$267:T$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L135),\"\")","v":""}]
[null,{"$f":"crfc14","v":0},{"$f":"'2A Input Base and BAU'!B49","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$116:BA$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AJ$25:AJ$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$116:BB$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AK$25:AK$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$116:BC$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AL$25:AL$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$116:BD$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AM$25:AM$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$116:BE$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AN$25:AN$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$116:BF$157,'5A Calculation BAU'!$D$116:$D$157,$C136)*10^3/SUMIFS('5A Calculation BAU'!AO$25:AO$30,'5A Calculation BAU'!$D$25:$D$30,$C136),\"\")","v":""},null,{"$f":"crfc14","v":0},{"$f":"'2A Input Base and BAU'!B49","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$625:AL$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!O$267:O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$625:AM$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!P$267:P$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$625:AN$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!Q$267:Q$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$625:AO$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!R$267:R$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$625:AP$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!S$267:S$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$625:AQ$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L136)*10^3/SUMIFS('5B Calcul. Climate Scen.'!T$267:T$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L136),\"\")","v":""}]
[null,{"$f":"crfc15","v":0},{"$f":"'2A Input Base and BAU'!B50","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$116:BA$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AJ$25:AJ$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$116:BB$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AK$25:AK$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$116:BC$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AL$25:AL$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$116:BD$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AM$25:AM$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$116:BE$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AN$25:AN$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$116:BF$157,'5A Calculation BAU'!$D$116:$D$157,$C137)*10^3/SUMIFS('5A Calculation BAU'!AO$25:AO$30,'5A Calculation BAU'!$D$25:$D$30,$C137),\"\")","v":""},null,{"$f":"crfc15","v":0},{"$f":"'2A Input Base and BAU'!B50","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$625:AL$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!O$267:O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$625:AM$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!P$267:P$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$625:AN$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!Q$267:Q$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$625:AO$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!R$267:R$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$625:AP$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!S$267:S$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$625:AQ$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L137)*10^3/SUMIFS('5B Calcul. Climate Scen.'!T$267:T$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L137),\"\")","v":""}]
[null,{"$f":"crfc16","v":0},{"$f":"'2A Input Base and BAU'!B51","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$116:BA$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AJ$25:AJ$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$116:BB$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AK$25:AK$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$116:BC$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AL$25:AL$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$116:BD$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AM$25:AM$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$116:BE$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AN$25:AN$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$116:BF$157,'5A Calculation BAU'!$D$116:$D$157,$C138)*10^3/SUMIFS('5A Calculation BAU'!AO$25:AO$30,'5A Calculation BAU'!$D$25:$D$30,$C138),\"\")","v":""},null,{"$f":"crfc16","v":0},{"$f":"'2A Input Base and BAU'!B51","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$625:AL$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!O$267:O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$625:AM$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!P$267:P$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$625:AN$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!Q$267:Q$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$625:AO$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!R$267:R$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$625:AP$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!S$267:S$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$625:AQ$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L138)*10^3/SUMIFS('5B Calcul. Climate Scen.'!T$267:T$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L138),\"\")","v":""}]
[null,{"$f":"crfc17","v":0},{"$f":"'2A Input Base and BAU'!B52","v":0},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BA$116:BA$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AJ$25:AJ$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BB$116:BB$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AK$25:AK$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BC$116:BC$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AL$25:AL$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BD$116:BD$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AM$25:AM$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BE$116:BE$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AN$25:AN$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5A Calculation BAU'!BF$116:BF$157,'5A Calculation BAU'!$D$116:$D$157,$C139)*10^3/SUMIFS('5A Calculation BAU'!AO$25:AO$30,'5A Calculation BAU'!$D$25:$D$30,$C139),\"\")","v":""},null,{"$f":"crfc17","v":0},{"$f":"'2A Input Base and BAU'!B52","v":0},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AL$625:AL$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!O$267:O$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AM$625:AM$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!P$267:P$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AN$625:AN$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!Q$267:Q$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AO$625:AO$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!R$267:R$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AP$625:AP$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!S$267:S$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""},{"$f":"IFERROR(SUMIFS('5B Calcul. Climate Scen.'!AQ$625:AQ$666,'5B Calcul. Climate Scen.'!$C$625:$C$666,$L139)*10^3/SUMIFS('5B Calcul. Climate Scen.'!T$267:T$272,'5B Calcul. Climate Scen.'!$D$267:$D$272,$L139),\"\")","v":""}]
[]
[]
[{"$f":"Descri72","v":"3) Key Performance Indicators (KPI) for monitoring plan"}]
[null,{"$f":"KPIdesc","v":"You can find below key indicators to assess the level of emission in your country/city for the scenarios out of the calculation carried out in this tool. The compulsory indicators for MYC projects are indicated inthe bold green frame. Some indicators have only green fields i.e. the results are not calculated within the present tool, so data must then be entered by the users. This is due to the fact that they are required by the MYC monitoring plan, but they are not calculated by the present tool (number of fatal accidents, number of persons withtin the service area, average commercial speed)"}]
[]
[null,{"$f":"KPI","v":"Key performance indicators"}]
[null,{"$f":"Category","v":"Category"},{"$f":"Descri73","v":"Indicators"},{"$f":"Descri74","v":"Explanation"},{"$f":"Unit","v":"Unit"},{"$f":"B4","v":0},{"$f":"\"BAU \"&'2A Input Base and BAU'!$G$20","v":"BAU "},{"$f":"Descri75 &\" \"&'2A Input Base and BAU'!$G$20","v":"Climate "},{"$f":"Descri76&\" \"&'2A Input Base and BAU'!$G$20","v":"Objective "},{"$f":"\"BAU \"&'2A Input Base and BAU'!$H$20","v":"BAU "},{"$f":"Descri75 &\" \"&'2A Input Base and BAU'!$H$20","v":"Climate "},{"$f":"Descri76&\" \"&'2A Input Base and BAU'!$H$20","v":"Objective "},{"$f":"\"BAU \"&'2A Input Base and BAU'!$I$20","v":"BAU "},{"$f":"Descri75 &\" \"&'2A Input Base and BAU'!$I$20","v":"Climate "},{"$f":"Descri76&\" \"&'2A Input Base and BAU'!$I$20","v":"Objective "},{"$f":"Source","v":"Source:"}]
[null,{"$f":"General","v":"General"},{"$f":"Indic1","v":"GHG emissions from transportation per capita and per year"},{"$f":"Expl1","v":"Total GHG emissions in road and rail transport, divided by the number of inhabitants for the reference year"},{"$f":"CO2perinhab","v":"t CO2e/inhabitant"},{"$f":"10^3*C54/'2A Input Base and BAU'!F25","v":{"$error":"#DIV/0!"}},{"$f":"10^3*D54/'2A Input Base and BAU'!G25","v":{"$error":"#VALUE!"}},{"$f":"10^3*L54/'2A Input Base and BAU'!G25","v":{"$error":"#VALUE!"}},null,{"$f":"10^3*E54/'2A Input Base and BAU'!H25","v":{"$error":"#VALUE!"}},{"$f":"10^3*M54/'2A Input Base and BAU'!H25","v":{"$error":"#VALUE!"}},null,{"$f":"10^3*F54/'2A Input Base and BAU'!I25","v":{"$error":"#VALUE!"}},{"$f":"10^3*N54/'2A Input Base and BAU'!I25","v":{"$error":"#VALUE!"}},null,"GIZ - Transfer"]
[null,null,{"$f":"Indic2","v":"Change of GHG emissions in the transport sector compared to the BAU scenario"},{"$f":"Expl2","v":"Total GHG emissions of the transport sector (sum of road and rail) subtracted by the emissions of the BAU scenario"},"Mio. t CO2eq",null,null,{"$f":"L59","v":""},null,null,{"$f":"M59","v":""},null,null,{"$f":"N59","v":""},null,"MYC - MRV Approach"]
[null,null,{"$f":"Indic3","v":"Number of fatal accidents per 100,000 inhabitants per year"},{"$f":"Expl3","v":"According to the WHO, fatal accidents are counted up to 30 days after the day of the accident"},{"$f":"Accperinhab","v":"accidents/100.000 inhabitants"},null,null,null,null,null,null,null,null,null,null,"MYC - MRV Approach, Weltbank"]
[null,null,{"$f":"Indic4","v":"Number of people in the service area of ​​public transport"},{"$f":"Expl4","v":"Number of people within 500 m of public transit with a headway of minimum 20 minutes at rush hour, or people who have access to ridesharing offers that are comparable in price to public transit"},{"$f":"numberinhab","v":"Number of inhabitants"},null,null,null,null,null,null,null,null,null,null,"MYC - MRV Approach"]
[null,null,{"$f":"Indic5","v":"Average commercial speed"},{"$f":"Expl5","v":"Average speed of a mode of transport between two terminals, including all operational stops"},"km/h",null,null,null,null,null,null,null,null,null,null,"MYC - MRV Approach, UITP - Mobility in Cities, LSEcities"]
[null,{"$f":"Passtrans","v":"Passenger transportation"},{"$f":"Indic6","v":"Modal share of individual passenger transport in total passenger transport"},{"$f":"Expl6","v":"Passenger transport performance (pkm) of individual traffic is calculated as the sum of pkm of non-motorised individual transport (e.g. pedestrians, bicycles,...) and individual motorised transport (e.g. private cars, taxis, motorcycles,...) and then divided by pkm of total passenger transport ( sum of pkm of individual and public transport)"},"%pkm",{"$f":"('5A Calculation BAU'!O159+'5A Calculation BAU'!O38)/'5A Calculation BAU'!O161","v":{"$error":"#DIV/0!"}},{"$f":"('5A Calculation BAU'!P159+'5A Calculation BAU'!P38)/'5A Calculation BAU'!P161","v":{"$error":"#DIV/0!"}},{"$f":"('5B Calcul. Climate Scen.'!H274+'5B Calcul. Climate Scen.'!H255)/'5B Calcul. Climate Scen.'!H276","v":{"$error":"#DIV/0!"}},null,{"$f":"('5A Calculation BAU'!Q159+'5A Calculation BAU'!Q38)/'5A Calculation BAU'!Q161","v":{"$error":"#DIV/0!"}},{"$f":"('5B Calcul. Climate Scen.'!I274+'5B Calcul. Climate Scen.'!I255)/'5B Calcul. Climate Scen.'!I276","v":{"$error":"#DIV/0!"}},null,{"$f":"('5A Calculation BAU'!R159+'5A Calculation BAU'!R38)/'5A Calculation BAU'!R161","v":{"$error":"#DIV/0!"}},{"$f":"('5B Calcul. Climate Scen.'!J274+'5B Calcul. Climate Scen.'!J255)/'5B Calcul. Climate Scen.'!J276","v":{"$error":"#DIV/0!"}},null,"MYC - MRV Approach, UITP - Mobility in Cities, LSEcities"]
[null,null,{"$f":"Indic7","v":"Modal share of public passenger transport in total passenger transport"},{"$f":"Expl7","v":"Passenger transport performance (pkm) of public transport is calculated as the sum of pkm of public transportation modes by road and rail and then divided by pkm of total passenger transport (sum of pkm of individual and public transport)"},"%pkm",{"$f":"SUM('5B Calcul. Climate Scen.'!AB32)/SUM('5B Calcul. Climate Scen.'!AB$12:AB$23)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!AC32)/SUM('5B Calcul. Climate Scen.'!AC$12:AC$23)","v":{"$error":"#DIV/0!"}},{"$f":"'5B Calcul. Climate Scen.'!H275/SUM('5B Calcul. Climate Scen.'!H255:H266)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUM('5B Calcul. Climate Scen.'!AD32)/SUM('5B Calcul. Climate Scen.'!AD$12:AD$23)","v":{"$error":"#DIV/0!"}},{"$f":"'5B Calcul. Climate Scen.'!I275/SUM('5B Calcul. Climate Scen.'!I255:I266)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUM('5B Calcul. Climate Scen.'!AE32)/SUM('5B Calcul. Climate Scen.'!AE$12:AE$23)","v":{"$error":"#DIV/0!"}},{"$f":"'5B Calcul. Climate Scen.'!J275/SUM('5B Calcul. Climate Scen.'!J255:J266)","v":{"$error":"#DIV/0!"}},null,"MYC - MRV Approach, UITP - Mobility in Cities"]
[null,null,{"$f":"PerfPass","v":"Performance of passenger transport per inhabitant and per year"},{"$f":"Expl8","v":"Passenger transport performance (pkm) is calculated as the sum of pkm of private and public passenger transport by road and rail and then divided by the number of inhabitants"},{"$f":"Pkmperinhab","v":"pkm/inhabitant"},{"$f":"SUM('5A Calculation BAU'!O161)/('2A Input Base and BAU'!F25*10^-6)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5A Calculation BAU'!P161)/('2A Input Base and BAU'!G25*10^-6)","v":{"$error":"#VALUE!"}},{"$f":"'5B Calcul. Climate Scen.'!H276/('2A Input Base and BAU'!G25*10^-6)","v":{"$error":"#VALUE!"}},null,{"$f":"SUM('5A Calculation BAU'!Q161)/('2A Input Base and BAU'!H25*10^-6)","v":{"$error":"#VALUE!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!I276)/('2A Input Base and BAU'!H25*10^-6)","v":{"$error":"#VALUE!"}},null,{"$f":"'5A Calculation BAU'!R161/('2A Input Base and BAU'!I25*10^-6)","v":{"$error":"#VALUE!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!J276)/('2A Input Base and BAU'!I25*10^-6)","v":{"$error":"#VALUE!"}},null,"GIZ - Transfer"]
[null,null,{"$f":"Indic8","v":"GHG emissions per motorised passenger-kilometer from private passenger transport"},{"$f":"Expl9","v":"GHG emissions are calculated as the sum of emissions of motorised individual transportation modes by road such as motorcycles, private cars and (motorcycle-)taxis and then divided by the respective transport performance (pkm) of motorised individual traffic"},"g CO2(eq)/pkm",{"$f":"1000*'5A Calculation BAU'!BA159/'5A Calculation BAU'!O159","v":{"$error":"#DIV/0!"}},{"$f":"1000*'5A Calculation BAU'!BB159/'5A Calculation BAU'!P159","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AM668/'5B Calcul. Climate Scen.'!$H274)","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*'5A Calculation BAU'!BC159/'5A Calculation BAU'!Q159","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AN668)/'5B Calcul. Climate Scen.'!$I274","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*'5A Calculation BAU'!BD159/'5A Calculation BAU'!R159","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AO668/'5B Calcul. Climate Scen.'!$J274)","v":{"$error":"#DIV/0!"}},null,"GIZ - Transfer, TEEMP"]
[null,null,{"$f":"Indic9","v":"GHG emissions per passenger-kilometer from public passenger transport"},{"$f":"Expl10","v":"GHG emissions are calculated as the sum of emissions of public passenger transport by road and rail and then divided by the respective transport performance (pkm) of public passenger traffic"},"g CO2(eq)/pkm",{"$f":"1000*'5A Calculation BAU'!BA160/'5A Calculation BAU'!O160","v":{"$error":"#DIV/0!"}},{"$f":"1000*'5A Calculation BAU'!BB160/'5A Calculation BAU'!P160","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AM669)/'5B Calcul. Climate Scen.'!$H275","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*'5B Calcul. Climate Scen.'!AR32/'5B Calcul. Climate Scen.'!AD32","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AN669)/'5B Calcul. Climate Scen.'!$I275","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*'5B Calcul. Climate Scen.'!AS32/'5B Calcul. Climate Scen.'!AE32","v":{"$error":"#DIV/0!"}},{"$f":"(1000*'5B Calcul. Climate Scen.'!AO669)/'5B Calcul. Climate Scen.'!$J275","v":{"$error":"#DIV/0!"}},null,"GIZ - Transfer, TEEMP"]
[null,null,{"$f":"Indic10","v":"Share of alternative propulsion systems in motorised passenger transport by road"},{"$f":"Expl11","v":"Total vkt of alternative fuel vehicles (LPG, LNG, CNG, hydrogen, hybrid, electric) in motorised passenger road transport are divided by the total vkt of motorised passenger road transport "},"%km",{"$f":"(SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$4,'5A Calculation BAU'!H$39:H$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$5,'5A Calculation BAU'!H$39:H$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$6,'5A Calculation BAU'!H$39:H$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$7,'5A Calculation BAU'!H$39:H$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$8,'5A Calculation BAU'!H$39:H$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$9,'5A Calculation BAU'!H$39:H$94))/SUM('5A Calculation BAU'!H$39:H$94)","v":{"$error":"#DIV/0!"}},{"$f":"(SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$4,'5A Calculation BAU'!I$39:I$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$5,'5A Calculation BAU'!I$39:I$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$6,'5A Calculation BAU'!I$39:I$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$7,'5A Calculation BAU'!I$39:I$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$8,'5A Calculation BAU'!I$39:I$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$9,'5A Calculation BAU'!I$39:I$94))/SUM('5A Calculation BAU'!I$39:I$94)","v":{"$error":"#DIV/0!"}},{"$f":"(SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$4,'5B Calcul. Climate Scen.'!P$548:P$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$5,'5B Calcul. Climate Scen.'!P$548:P$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$6,'5B Calcul. Climate Scen.'!P$548:P$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$7,'5B Calcul. Climate Scen.'!P$548:P$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$8,'5B Calcul. Climate Scen.'!P$548:P$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$9,'5B Calcul. Climate Scen.'!P$548:P$603))/SUM('5B Calcul. Climate Scen.'!P$548:P$603)","v":{"$error":"#DIV/0!"}},null,{"$f":"(SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$4,'5A Calculation BAU'!J$39:J$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$5,'5A Calculation BAU'!J$39:J$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$6,'5A Calculation BAU'!J$39:J$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$7,'5A Calculation BAU'!J$39:J$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$8,'5A Calculation BAU'!J$39:J$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$9,'5A Calculation BAU'!J$39:J$94))/SUM('5A Calculation BAU'!J$39:J$94)","v":{"$error":"#DIV/0!"}},{"$f":"(SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$4,'5B Calcul. Climate Scen.'!Q$548:Q$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$5,'5B Calcul. Climate Scen.'!Q$548:Q$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$6,'5B Calcul. Climate Scen.'!Q$548:Q$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$7,'5B Calcul. Climate Scen.'!Q$548:Q$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$8,'5B Calcul. Climate Scen.'!Q$548:Q$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$9,'5B Calcul. Climate Scen.'!Q$548:Q$603))/SUM('5B Calcul. Climate Scen.'!Q$548:Q$603)","v":{"$error":"#DIV/0!"}},null,{"$f":"(SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$4,'5A Calculation BAU'!K$39:K$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$5,'5A Calculation BAU'!K$39:K$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$6,'5A Calculation BAU'!K$39:K$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$7,'5A Calculation BAU'!K$39:K$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$8,'5A Calculation BAU'!K$39:K$94)+SUMIF('5A Calculation BAU'!$G$39:$G$94,Lists!$L$9,'5A Calculation BAU'!K$39:K$94))/SUM('5A Calculation BAU'!K$39:K$94)","v":{"$error":"#DIV/0!"}},{"$f":"(SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$4,'5B Calcul. Climate Scen.'!R$548:R$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$5,'5B Calcul. Climate Scen.'!R$548:R$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$6,'5B Calcul. Climate Scen.'!R$548:R$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$7,'5B Calcul. Climate Scen.'!R$548:R$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$8,'5B Calcul. Climate Scen.'!R$548:R$603)+SUMIF('5B Calcul. Climate Scen.'!$F$548:$F$603,Lists!$L$9,'5B Calcul. Climate Scen.'!R$548:R$603))/SUM('5B Calcul. Climate Scen.'!R$548:R$603)","v":{"$error":"#DIV/0!"}},null,"UITP - Mobility in Cities"]
[null,null,{"$f":"Indic11","v":"Share of electric drive system in passenger transport by rail"},{"$f":"Expl12","v":"Total electric vkt in passenger rail transport are divided by total rail vkt in passenger rail transport"},"%km",{"$f":"SUMIF('5A Calculation BAU'!$G$95:$G$115,Lists!$L$8,'5A Calculation BAU'!H$95:H$115)/SUM('5A Calculation BAU'!H$95:H$115)","v":{"$error":"#DIV/0!"}},{"$f":"SUMIF('5A Calculation BAU'!$G$95:$G$115,Lists!$L$8,'5A Calculation BAU'!I$95:I$115)/SUM('5A Calculation BAU'!I$95:I$115)","v":{"$error":"#DIV/0!"}},{"$f":"SUMIF('5B Calcul. Climate Scen.'!$F$604:$F$624,Lists!$L$8,'5B Calcul. Climate Scen.'!P$604:P$624)/SUM('5B Calcul. Climate Scen.'!P$604:P$624)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUMIF('5A Calculation BAU'!$G$95:$G$115,Lists!$L$8,'5A Calculation BAU'!J$95:J$115)/SUM('5A Calculation BAU'!J$95:J$115)","v":{"$error":"#DIV/0!"}},{"$f":"SUMIF('5B Calcul. Climate Scen.'!$F$604:$F$624,Lists!$L$8,'5B Calcul. Climate Scen.'!Q$604:Q$624)/SUM('5B Calcul. Climate Scen.'!Q$604:Q$624)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUMIF('5A Calculation BAU'!$G$95:$G$115,Lists!$L$8,'5A Calculation BAU'!K$95:K$115)/SUM('5A Calculation BAU'!K$95:K$115)","v":{"$error":"#DIV/0!"}},{"$f":"SUMIF('5B Calcul. Climate Scen.'!$F$604:$F$624,Lists!$L$8,'5B Calcul. Climate Scen.'!R$604:R$624)/SUM('5B Calcul. Climate Scen.'!R$604:R$624)","v":{"$error":"#DIV/0!"}},null,"ifeu"]
[null,{"$f":"Freighttrans","v":"Freight transportation"},{"$f":"Indic12","v":"Modal share of road freight transport in total freight transport"},{"$f":"Expl13","v":"Transport performance (tkm) of road freight transport is calculated as the sum of tkm of freight transportation modes by road and divided by tkm of total freight transport (sum of road and rail freight transport)"},"%tkm",{"$f":"SUM('5A Calculation BAU'!V$116:V$150)/SUM('5A Calculation BAU'!V$116:V$157)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5A Calculation BAU'!W$116:W$150)/SUM('5A Calculation BAU'!W$116:W$157)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!BE$625:BE$659)/SUM('5B Calcul. Climate Scen.'!BE$625:BE$666)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUM('5A Calculation BAU'!X$116:X$150)/SUM('5A Calculation BAU'!X$116:X$157)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!BF$625:BF$659)/SUM('5B Calcul. Climate Scen.'!BF$625:BF$666)","v":{"$error":"#DIV/0!"}},null,{"$f":"SUM('5A Calculation BAU'!Y$116:Y$150)/SUM('5A Calculation BAU'!Y$116:Y$157)","v":{"$error":"#DIV/0!"}},{"$f":"SUM('5B Calcul. Climate Scen.'!BG$625:BG$659)/SUM('5B Calcul. Climate Scen.'!BG$625:BG$666)","v":{"$error":"#DIV/0!"}},null,"ifeu"]
[null,null,{"$f":"Indic13","v":"Modal share of rail freight transport in total freight transport"},{"$f":"Expl14","v":"Transport performance (tkm) of rail freight transport is calculated as the sum of tkm of freight transportation modes by rail and divided by tkm of total freight transport (sum of road and rail freight transport)"},"%tkm",{"$f":"1-F159","v":{"$error":"#DIV/0!"}},{"$f":"1-G159","v":{"$error":"#DIV/0!"}},{"$f":"1-H159","v":{"$error":"#DIV/0!"}},null,{"$f":"1-J159","v":{"$error":"#DIV/0!"}},{"$f":"1-K159","v":{"$error":"#DIV/0!"}},null,{"$f":"1-M159","v":{"$error":"#DIV/0!"}},{"$f":"1-N159","v":{"$error":"#DIV/0!"}},null,"ifeu"]
[null,null,{"$f":"Indic14","v":"GHG emissions per tonne-kilometer from road freight transport"},{"$f":"Expl15","v":"GHG emissions are calculated as the sum of emissions of road freight transport and divided by the transport performance (tkm) of freight transport by road"},"g CO2(eq)/tkm",{"$f":"1000*SUM('5A Calculation BAU'!BA$116:BA$150)/SUM('5A Calculation BAU'!V$116:V$150)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5A Calculation BAU'!BB$116:BB$150)/SUM('5A Calculation BAU'!W$116:W$150)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AM$625:AM$659)/SUM('5B Calcul. Climate Scen.'!BE$625:BE$659)","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*SUM('5A Calculation BAU'!BC$116:BC$150)/SUM('5A Calculation BAU'!X$116:X$150)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AN$625:AN$659)/SUM('5B Calcul. Climate Scen.'!BF$625:BF$659)","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*SUM('5A Calculation BAU'!BD$116:BD$150)/SUM('5A Calculation BAU'!Y$116:Y$150)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AO$625:AO$659)/SUM('5B Calcul. Climate Scen.'!BG$625:BG$659)","v":{"$error":"#DIV/0!"}},null,"GIZ - Transfer, TEEMP"]
[null,null,{"$f":"Indic15","v":"GHG emissions per tonne-kilometer from rail freight transport"},{"$f":"Expl16","v":"GHG emissions are calculated as the sum of emissions of rail freight transport and divided by the transport performance (tkm) of freight transport by rail"},"g CO2(eq)/tkm",{"$f":"1000*SUM('5A Calculation BAU'!BA$151:BA$157)/SUM('5A Calculation BAU'!V$151:V$157)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5A Calculation BAU'!BB$151:BB$157)/SUM('5A Calculation BAU'!W$151:W$157)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AM$660:AM$666)/SUM('5B Calcul. Climate Scen.'!BE$660:BE$666)","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*SUM('5A Calculation BAU'!BC$151:BC$157)/SUM('5A Calculation BAU'!X$151:X$157)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AN$660:AN$666)/SUM('5B Calcul. Climate Scen.'!BF$660:BF$666)","v":{"$error":"#DIV/0!"}},null,{"$f":"1000*SUM('5A Calculation BAU'!BD$151:BD$157)/SUM('5A Calculation BAU'!Y$151:Y$157)","v":{"$error":"#DIV/0!"}},{"$f":"1000*SUM('5B Calcul. Climate Scen.'!AO$660:AO$666)/SUM('5B Calcul. Climate Scen.'!BG$660:BG$666)","v":{"$error":"#DIV/0!"}},null,"GIZ - Transfer, TEEMP"]
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[]
[{"$f":"Descri68","v":"BAU scenario by category and type of fuel"}]
[]
[null,"Codes  ",{"$f":"scenario","v":"Scenario"},{"$f":"vehiclespec","v":"Vehicle specifications"},null,null,null,"Vkt [Mio. km]",null,null,null,null,null,null,"Million Pkm",null,null,null,null,null,null,"Million Tkm",null,null,null,null,null,null,{"$f":"avcons","v":"Average energy consumption  [l-kW-kg/100 km]"},null,null,null,null,null,null,null,null,{"$f":"PCI","v":"Energy density"},{"$f":"\"EF\"&\" \"&'Get started'!$C$10","v":"EF WTW"},null,null,null,null,null,null,{"$f":"FuelConTJ","v":"Fuel Consumption [TJ]"},null,null,null,null,null,null,{"$f":"Referencing!B133&'Get started'!$C$10","v":"Total emission CO2e [1000t] WTW"}]
[null,null,null,{"$f":"Category","v":"Category"},{"$f":"Transporttype","v":"Transport type"},{"$f":"Fuelcat","v":"Fuel category"},{"$f":"Fuel","v":"Fuel type"},{"$f":"Miokm","v":"Mio. Km"},null,null,null,null,null,null,"Mio Pkm",null,null,null,null,null,null,{"$f":"Miotkm","v":"Mio. tkm"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MJ/l, MJ/kg, MJ/kWh","kg/TJ",null,null,null,null,null,null,"TJ",null,null,null,null,null,null,"1000 t"]
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[null,null,"Difference between line 31 and line 163 (should equal zero)",null,null,null,null,{"$f":"H31-H163","v":0},{"$f":"I31-I163","v":0},0,0,0,0]

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[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Jx=Jx-1 nach 3)"]
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[]
[null,null,null,null,null,null,null,null,null,null,{"$f":"totalindividualtransport","v":"Total individual transport"},{"$f":"+SUM(L41:L44)","v":0},0,{"$f":"+SUM(N41:N44)","v":0},{"$f":"+SUM(O41:O44)","v":0},{"$f":"+SUM(P41:P44)","v":0},{"$f":"+SUM(Q41:Q44)","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"+SUM(AE41:AE44)","v":0},{"$f":"+SUM(AF41:AF44)","v":0},{"$f":"+SUM(AG41:AG44)","v":0},{"$f":"+SUM(AH41:AH44)","v":0},{"$f":"+SUM(AI41:AI44)","v":0}]
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[]
[]
[null,"ONLY WITH TRANSPORT PLANNING TOOL"]
[null,null,{"$f":"Input","v":"Data input"},null,null,null,null,null,null,null,null,null,null,"Input ",null,null,null,null,null,null,null,"Input "]
[null,null,{"$f":"scenario","v":"Scenario"},{"$f":"Category","v":"Category"},{"$f":"Transporttype","v":"Transport type"},{"$f":"Fuel","v":"Fuel type"},"Million Pkm",null,null,null,null,null,null,{"$f":"Category","v":"Category"},"Million Tkm",null,null,null,null,null,null,{"$f":"vktMilkm","v":"Vkt [Mio. km]"},null,null,null,null,null,{"$f":"Occuprate","v":"occupancy [Person/vehicle]"},null,null,null,null,null,{"$f":"loadvehicle","v":"Load per vehicle [Tons/vehicle]"}]
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[null,null,"Scenario 1)",0,"Passengers","all",0,{"$f":"'3A Input Climate Scen. Pass.'!J23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!K23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!L23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!M23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!N23","v":0},null,null,null,null,null,null,null,null,null,{"$f":"'3A Input Climate Scen. Pass.'!C23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!D23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!E23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!F23","v":0},{"$f":"'3A Input Climate Scen. Pass.'!G23","v":0},null,"","","","",""]
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[null,null,"Scenario 1)",0,"Passengers","all",0,{"$f":"'3A Input Climate Scen. Pass.'!J25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!K25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!L25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!M25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!N25","v":0},null,null,null,null,null,null,null,null,null,{"$f":"'3A Input Climate Scen. Pass.'!C25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!D25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!E25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!F25","v":0},{"$f":"'3A Input Climate Scen. Pass.'!G25","v":0},null,"","","","",""]
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[null,null,"Scenario 1)",0,"Passengers","all",0,{"$f":"'3A Input Climate Scen. Pass.'!J27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!K27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!L27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!M27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!N27","v":0},null,null,null,null,null,null,null,null,null,{"$f":"'3A Input Climate Scen. Pass.'!C27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!D27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!E27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!F27","v":0},{"$f":"'3A Input Climate Scen. Pass.'!G27","v":0},null,"","","","",""]
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[null,null,"Scenario 1)",0,"Passengers","all",0,{"$f":"'3A Input Climate Scen. Pass.'!J29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!K29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!L29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!M29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!N29","v":0},null,null,null,null,null,null,null,null,null,{"$f":"'3A Input Climate Scen. Pass.'!C29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!D29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!E29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!F29","v":0},{"$f":"'3A Input Climate Scen. Pass.'!G29","v":0},null,"","","","",""]
[null,null,"Scenario 1)",0,"Passengers","all",0,{"$f":"'3A Input Climate Scen. Pass.'!J30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!K30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!L30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!M30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!N30","v":0},null,null,null,null,null,null,null,null,null,{"$f":"'3A Input Climate Scen. Pass.'!C30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!D30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!E30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!F30","v":0},{"$f":"'3A Input Climate Scen. Pass.'!G30","v":0},null,"","","","",""]
[null,null,"Scenario 1)",0,{"$f":"freight","v":"Freight"},"all",null,null,null,null,null,null,null,{"$f":"D24","v":0},{"$f":"AI24","v":0},{"$f":"'3B Input Climate Scen. Freight'!J24","v":0},{"$f":"'3B Input Climate Scen. Freight'!K24","v":0},{"$f":"'3B Input Climate Scen. Freight'!L24","v":0},{"$f":"'3B Input Climate Scen. Freight'!M24","v":0},{"$f":"'3B Input Climate Scen. Freight'!N24","v":0},"achtung hiier Formel für Freight",{"$f":"'3B Input Climate Scen. Freight'!C24","v":0},{"$f":"'3B Input Climate Scen. Freight'!D24","v":0},{"$f":"'3B Input Climate Scen. Freight'!E24","v":0},{"$f":"'3B Input Climate Scen. Freight'!F24","v":0},{"$f":"'3B Input Climate Scen. Freight'!G24","v":0},null,null,null,null,null,null,null,{"$f":"IFERROR(P82/V82,\"\")","v":""},{"$f":"IFERROR(Q82/W82,\"\")","v":""},"","",""]
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[]
[]
[]
[]
[null,{"$f":"Descri65","v":"Climate scenario by category: 1) Avoid motorised vkt"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Careful! These are only indicative emissions, which are not used in the calculation. If the vehicle modes isn't given in the previous year, the emissions will not be calculated. "]
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[]
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[]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Verify occupancy rate tramsport planning tool, then Input 1 -2 ) and finally BAU"]
[]
[null,"Result of AVOID/SHIFT"]
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[]
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[]
[]
[null,{"$f":"Descri68","v":"BAU scenario by category and type of fuel"}]
["Codes  ",{"$f":"scenario","v":"Scenario"},{"$f":"Subcategory","v":"Subcategory"},{"$f":"Transporttype","v":"Transport type"},{"$f":"Fuel","v":"Fuel type"},{"$f":"Fuel","v":"Fuel type"},{"$f":"vktMilkm","v":"Vkt [Mio. km]"},null,null,null,null,null,null,"Vkt share by fuel",null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"FuelConTJ","v":"Fuel Consumption [TJ]"},null,null,null,null,null,null,{"$f":"Referencing!B133&'Get started'!$C$10","v":"Total emission CO2e [1000t] WTW"}]
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[]
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[null,{"$f":"Descri69","v":"Climate scenario by category and type of fuel: 3) Penetration of alternative energies"},null,null,null,null,"input",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"FC ohne Verbesserung: wie BAU bis Ende"]
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[]
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[]
[]
[null,{"$f":"Descri70","v":"Climate scenario by category and type of fuel 4) Improve: adjust the specific fuel consumption of vehicles"}]
[null,{"$f":"scenario","v":"Scenario"},{"$f":"Category","v":"Category"},{"$f":"Transporttype","v":"Transport type"},{"$f":"Fuel","v":"Fuel type"},{"$f":"Fuel","v":"Fuel type"},"Specific fuel consumption",null,null,null,null,null,"Unit",null,{"$f":"vktMilkm","v":"Vkt [Mio. km]"},null,null,null,null,null,null,null,{"$f":"PCI","v":"Energy density"},{"$f":"FuelConTJ","v":"Fuel Consumption [TJ]"},null,null,null,null,null,null,{"$f":"\"EF\"&\" \"&'Get started'!$C$10&\" \"&\"[kg/TJ]\"","v":"EF WTW [kg/TJ]"},null,null,null,null,null,null,{"$f":"Referencing!B133&'Get started'!$C$10","v":"Total emission CO2e [1000t] WTW"},null,null,null,null,null,null,null,null,"Ratio g CO2eq/Fz-km",null,null,null,null,null,null,null,null,{"$f":"Transportperformancefreight","v":"Transport performance [Mio. tkm]"},null,null,null,null,null,null,{"$f":"Transportperf","v":"Transport performance [Mio. pkm]"}]
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[]
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[null,{"$f":"Scen3","v":"Scenario 3)"},{"$f":"Passtrans","v":"Passenger transportation"},"Passengers","all","all",null,null,null,null,null,null,null,null,{"$f":"SUM(O547:O624)","v":0},{"$f":"SUM(P547:P624)","v":0},0,0,0,0,null,null,null,{"$f":"SUM(X547:X624)","v":0},{"$f":"SUM(Y547:Y624)","v":0},0,0,0,0,null,null,null,null,null,null,null,null,{"$f":"SUM(AL547:AL624)","v":0},{"$f":"SUM(AM547:AM624)","v":0},0,0,0,0]
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[null,{"$f":"Scen3","v":"Scenario 3)"},{"$f":"all","v":"all"},{"$f":"all","v":"all"},"all","all",null,null,null,null,null,null,null,null,{"$f":"O670+O671","v":0},{"$f":"P670+P671","v":0},{"$f":"Q670+Q671","v":0},{"$f":"R670+R671","v":0},{"$f":"S670+S671","v":0},{"$f":"T670+T671","v":0},null,null,null,{"$f":"X670+X671","v":0},{"$f":"Y670+Y671","v":0},{"$f":"Z670+Z671","v":0},{"$f":"AA670+AA671","v":0},{"$f":"AB670+AB671","v":0},{"$f":"AC670+AC671","v":0},null,null,null,null,null,null,null,null,{"$f":"AL670+AL671","v":0},{"$f":"AM670+AM671","v":0},{"$f":"AN670+AN671","v":0},{"$f":"AO670+AO671","v":0},{"$f":"AP670+AP671","v":0},{"$f":"AQ670+AQ671","v":0}]

{"sheet":"6 Defaults parameters","index":12,"n_rows":30,"n_cols":28,"rows_kept":30,"cut":false,"hidden":false,"merged":[[16,0,19,0],[2,2,3,14],[1,2,1,14],[6,22,6,27],[6,16,6,21],[6,1,6,2],[5,1,5,2],[5,10,5,15],[6,10,6,15]]}
[]
[null,null,{"$f":"Text19","v":"6 Defaults parameters"}]
[null,null,{"$f":"Text20","v":"The default settings for lower heat values and CO2, CH4 and N2O emission factors are used for all transport sub-sectors. They comply with the IPCC Tier 1 approach and are not country-specific. A great deal of uncertainty arises for CH4 and N2O emissions, which vary greatly depending on traffic conditions in the country. More information can be found in the sources given in the table below.\n\nA modification of the default values implies the entire responsibility of the user.\n"}]
[]
[]
[null,{"$f":"Fuel","v":"Fuel type"},null,{"$f":"LHV","v":"Lower heating value"},{"$f":"Density","v":"Density"},"CO2-eq TTW",null,"CO2-eq WTT","CO2-eq WTW",null,{"$f":"Factorselec","v":"Factors selected in kg/TJ"}]
[null,"Source",null,"EN 16258","EN 16258",{"$f":"calculated","v":"calculated"},null,"calculated","EN 16258",null,{"$f":"\"EF\"&\" \"&'Get started'!$C$10&\" \"&\"[kg/TJ]\"","v":"EF WTW [kg/TJ]"},null,null,null,null,null,{"$f":"EFCO2","v":"Emission factors CO2e TTW (kg/TJ)"},null,null,null,null,null,{"$f":"TotalGHGWTW","v":"Emission factors CO2e WTW (kg/TJ)"}]
[null,{"$f":"Usedfor","v":"Used for "},{"$f":"Fuelcat","v":"Fuel category"},{"$f":"TJ1000tons","v":"TJ/1000 tons \nMJ/kWh for electricity"},{"$f":"kgl","v":"kg/l;\nKg/kg for NG"},"kg/TJ",null,"kg /TJ","kg /TJ",null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q8,'6 Defaults parameters'!W8)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R8,'6 Defaults parameters'!X8)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S8,'6 Defaults parameters'!Y8)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T8,'6 Defaults parameters'!Z8)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U8,'6 Defaults parameters'!AA8)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V8,'6 Defaults parameters'!AB8)","v":0},{"$f":"'Get started'!C8","v":0},{"$f":"'2A Input Base and BAU'!G20","v":0},{"$f":"'2A Input Base and BAU'!H20","v":0},{"$f":"'2A Input Base and BAU'!I20","v":0},{"$f":"'2A Input Base and BAU'!J20","v":0},{"$f":"'2A Input Base and BAU'!K20","v":0},{"$f":"Q8","v":0},{"$f":"R8","v":0},{"$f":"S8","v":0},0,0,0]
[null,{"$f":"Road&\" - \"&C9","v":"Road - Gasoline"},{"$f":"Gasoline","v":"Gasoline"},43.2,0.745,75200,null,{"$f":"I9-F9","v":14200},89400,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q9,'6 Defaults parameters'!W9)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R9,'6 Defaults parameters'!X9)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S9,'6 Defaults parameters'!Y9)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T9,'6 Defaults parameters'!Z9)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U9,'6 Defaults parameters'!AA9)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V9,'6 Defaults parameters'!AB9)","v":89400},{"$f":"$F9","v":75200},75200,75200,75200,75200,75200,{"$f":"+$I9","v":89400},{"$f":"+$I9","v":89400},89400,89400,89400,89400]
["hypothesis: same as gasoline","Road - Hybrid",{"$f":"Hybrid","v":"Hybrid"},{"$f":"D9","v":43.2},{"$f":"E9","v":0.745},75200,null,{"$f":"I10-F10","v":14200},{"$f":"I9","v":89400},null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q10,'6 Defaults parameters'!W10)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R10,'6 Defaults parameters'!X10)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S10,'6 Defaults parameters'!Y10)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T10,'6 Defaults parameters'!Z10)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U10,'6 Defaults parameters'!AA10)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V10,'6 Defaults parameters'!AB10)","v":89400},75200,75200,75200,75200,75200,75200,{"$f":"+$I10","v":89400},89400,89400,89400,89400,89400]
[null,"Road - Diesel",{"$f":"Diesel","v":"Diesel"},43.1,0.83199999999999996,74500,null,15900,90400,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q11,'6 Defaults parameters'!W11)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R11,'6 Defaults parameters'!X11)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S11,'6 Defaults parameters'!Y11)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T11,'6 Defaults parameters'!Z11)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U11,'6 Defaults parameters'!AA11)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V11,'6 Defaults parameters'!AB11)","v":90400},74500,74500,74500,74500,74500,74500,{"$f":"+$I11","v":90400},90400,90400,90400,90400,90400]
[null,"Road - CNG",{"$f":"NG","v":"CNG"},45.1,1,59400,null,8700,68100,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q12,'6 Defaults parameters'!W12)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R12,'6 Defaults parameters'!X12)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S12,'6 Defaults parameters'!Y12)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T12,'6 Defaults parameters'!Z12)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U12,'6 Defaults parameters'!AA12)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V12,'6 Defaults parameters'!AB12)","v":68100},59400,59400,59400,59400,59400,59400,{"$f":"+$I12","v":68100},68100,68100,68100,68100,68100]
[null,"Road - LPG",{"$f":"LPG","v":"LPG"},46,0.52219321148825071,67300,null,{"$f":"I13-F13","v":8000},75300,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q13,'6 Defaults parameters'!W13)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R13,'6 Defaults parameters'!X13)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S13,'6 Defaults parameters'!Y13)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T13,'6 Defaults parameters'!Z13)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U13,'6 Defaults parameters'!AA13)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V13,'6 Defaults parameters'!AB13)","v":75300},67300,67300,67300,67300,67300,67300,75300,75300,75300,75300,75300,75300]
[null,"Road - LNG",{"$f":"LNG","v":"LNG"},45.1,{"$f":"(0.36+0.42)/2","v":0.39},59420,null,20850,80270,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q14,'6 Defaults parameters'!W14)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R14,'6 Defaults parameters'!X14)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S14,'6 Defaults parameters'!Y14)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T14,'6 Defaults parameters'!Z14)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U14,'6 Defaults parameters'!AA14)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V14,'6 Defaults parameters'!AB14)","v":80270},59420,59420,59420,59420,59420,59420,80270,80270,80270,80270,80270,80270]
[null,"Road - Electric",{"$f":"Electric","v":"Electric"},3.6,1,null,null,null,null,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q15,'6 Defaults parameters'!W15)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R15,'6 Defaults parameters'!X15)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S15,'6 Defaults parameters'!Y15)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T15,'6 Defaults parameters'!Z15)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U15,'6 Defaults parameters'!AA15)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V15,'6 Defaults parameters'!AB15)","v":0},0,0,0,0,0,0,{"$f":"'2A Input Base and BAU'!D386/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!E386/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!F386/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!G386/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!H386/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!I386/3.6*1000","v":0}]
[null,"Road - Hydrogen",{"$f":"Hydrogen","v":"Hydrogen"},119.88,1,null,null,null,null,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q16,'6 Defaults parameters'!W16)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R16,'6 Defaults parameters'!X16)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S16,'6 Defaults parameters'!Y16)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T16,'6 Defaults parameters'!Z16)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U16,'6 Defaults parameters'!AA16)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V16,'6 Defaults parameters'!AB16)","v":0},0,0,0,0,0,0,{"$f":"'2A Input Base and BAU'!D392/$D16*10^3","v":0},{"$f":"'2A Input Base and BAU'!E392/$D16*10^3","v":0},{"$f":"'2A Input Base and BAU'!F392/$D16*10^3","v":0},{"$f":"'2A Input Base and BAU'!G392/$D16*10^3","v":0},{"$f":"'2A Input Base and BAU'!H392/$D16*10^3","v":0},{"$f":"'2A Input Base and BAU'!I392/$D16*10^3","v":0}]
["assumption: rail same as road except electric and hydrogen (user sets emission factors)",{"$f":"Rail&\" - \"&C17","v":"Rail - Gasoline"},{"$f":"Gasoline","v":"Gasoline"},43.2,0.745,75200,null,{"$f":"I17-F17","v":14200},89400,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q17,'6 Defaults parameters'!W17)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R17,'6 Defaults parameters'!X17)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S17,'6 Defaults parameters'!Y17)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T17,'6 Defaults parameters'!Z17)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U17,'6 Defaults parameters'!AA17)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V17,'6 Defaults parameters'!AB17)","v":89400},75200,75200,75200,75200,75200,75200,{"$f":"+$I17","v":89400},89400,89400,89400,89400,89400]
[null,"Rail - Hybrid",{"$f":"Hybrid","v":"Hybrid"},{"$f":"D17","v":43.2},{"$f":"E17","v":0.745},75200,null,{"$f":"I18-F18","v":14200},{"$f":"I17","v":89400},null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q18,'6 Defaults parameters'!W18)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R18,'6 Defaults parameters'!X18)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S18,'6 Defaults parameters'!Y18)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T18,'6 Defaults parameters'!Z18)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U18,'6 Defaults parameters'!AA18)","v":89400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V18,'6 Defaults parameters'!AB18)","v":89400},75200,75200,75200,75200,75200,75200,89400,89400,89400,89400,89400,89400]
[null,"Rail - Diesel",{"$f":"Diesel","v":"Diesel"},43.1,0.83199999999999996,74500,null,15900,90400,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q19,'6 Defaults parameters'!W19)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R19,'6 Defaults parameters'!X19)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S19,'6 Defaults parameters'!Y19)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T19,'6 Defaults parameters'!Z19)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U19,'6 Defaults parameters'!AA19)","v":90400},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V19,'6 Defaults parameters'!AB19)","v":90400},74500,74500,74500,74500,74500,74500,90400,90400,90400,90400,90400,90400]
[null,"Rail - CNG",{"$f":"NG","v":"CNG"},45.1,1,59400,null,8700,68100,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q20,'6 Defaults parameters'!W20)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R20,'6 Defaults parameters'!X20)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S20,'6 Defaults parameters'!Y20)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T20,'6 Defaults parameters'!Z20)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U20,'6 Defaults parameters'!AA20)","v":68100},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V20,'6 Defaults parameters'!AB20)","v":68100},59400,59400,59400,59400,59400,59400,68100,68100,68100,68100,68100,68100]
[null,"Rail - LPG",{"$f":"LPG","v":"LPG"},46,0.52219321148825071,67300,null,{"$f":"I21-F21","v":8000},75300,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q21,'6 Defaults parameters'!W21)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R21,'6 Defaults parameters'!X21)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S21,'6 Defaults parameters'!Y21)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T21,'6 Defaults parameters'!Z21)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U21,'6 Defaults parameters'!AA21)","v":75300},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V21,'6 Defaults parameters'!AB21)","v":75300},67300,67300,67300,67300,67300,67300,75300,75300,75300,75300,75300,75300]
[null,"Rail - LNG",{"$f":"LNG","v":"LNG"},45.1,{"$f":"(0.36+0.42)/2","v":0.39},59420,null,{"$f":"I22-F22","v":20850},80270,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q22,'6 Defaults parameters'!W22)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R22,'6 Defaults parameters'!X22)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S22,'6 Defaults parameters'!Y22)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T22,'6 Defaults parameters'!Z22)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U22,'6 Defaults parameters'!AA22)","v":80270},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V22,'6 Defaults parameters'!AB22)","v":80270},59420,59420,59420,59420,59420,59420,80270,80270,80270,80270,80270,80270]
[null,"Rail - Electric",{"$f":"Electric","v":"Electric"},3.6,1,null,null,null,null,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q23,'6 Defaults parameters'!W23)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R23,'6 Defaults parameters'!X23)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S23,'6 Defaults parameters'!Y23)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T23,'6 Defaults parameters'!Z23)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U23,'6 Defaults parameters'!AA23)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V23,'6 Defaults parameters'!AB23)","v":0},0,0,0,0,0,0,{"$f":"'2A Input Base and BAU'!D387/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!E387/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!F387/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!G387/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!H387/3.6*1000","v":0},{"$f":"'2A Input Base and BAU'!I387/3.6*1000","v":0}]
[null,"Rail - Hydrogen",{"$f":"Hydrogen","v":"Hydrogen"},119.88,1,null,null,null,null,null,{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!Q24,'6 Defaults parameters'!W24)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!R24,'6 Defaults parameters'!X24)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!S24,'6 Defaults parameters'!Y24)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!T24,'6 Defaults parameters'!Z24)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!U24,'6 Defaults parameters'!AA24)","v":0},{"$f":"+IF('Get started'!$C$10=\"TTW\",'6 Defaults parameters'!V24,'6 Defaults parameters'!AB24)","v":0},0,0,0,0,0,0,{"$f":"'2A Input Base and BAU'!D393/$D24*10^3","v":0},{"$f":"'2A Input Base and BAU'!E393/$D24*10^3","v":0},{"$f":"'2A Input Base and BAU'!F393/$D24*10^3","v":0},{"$f":"'2A Input Base and BAU'!G393/$D24*10^3","v":0},{"$f":"'2A Input Base and BAU'!H393/$D24*10^3","v":0},{"$f":"'2A Input Base and BAU'!I393/$D24*10^3","v":0}]
[]
[]
[null,"GWP 100"]
[null,"CH4",28]
[null,"N2O",265]
[null,"Source: IPCC fifth assessment report AR5"]

{"sheet":"7 Fuel Consumption","index":13,"n_rows":391,"n_cols":13,"rows_kept":391,"cut":false,"hidden":false,"merged":[[2,4,3,12],[1,4,1,12],[7,0,9,12]]}
[]
[null,null,null,null,"7 Fuel Economy - Orientation Values"]
[null,null,null,null,"In the list below you can find orientation values for fuel economy of different vehicle types for several regions, countries and cities. There is a filter function which allows to sort the data alphabetically or to show data only for a selected country for example. Moreover, you can select specific vehicle categories to be shown. If the desired category is not available in the column \"Vehicle Category\", you can try to filter for \"Other vehicle type\". This category includes country specific vehicle types for which more information is given in the column \"Description\". Please note that the data only serve as orientation values and should only be used if not other data is available. Values that were collected within the framwork of a survey, counts or stem from monitoring information are more reliable than regional default values or estimated values. If the desired country is not given in the list please choose a country which represents it best. Nevertheless, the best option is always to collect project specific data. \n\nConcerning fuel consumption values, it is very important to differentiate between data from driving cycles and real world values, i.e. the actual consumption of the vehicles. Driving cycles such as NEDC (new European driving cycle) and WLTP (worldwide harmonized light vehicles test procedure) are well-defined procedures to test the fuel/energy consumption of vehicles. These tests are performed on chassis dynamometers, which allows for better comparison between different vehicles. However, the determined values are in general much lower than real drive consumptions. Therefore, it is not appropriate to use a value determined by a driving cycle directly in the tool. At least, a correcting factor should be used: For NEDC, real drive consump-tion is roughly 40% higher than the measured value, whereas for WLTP the difference amounts to around 14% (Dornhoff et al., 2020)."]
[]
[]
[]
[]
["Fuel Consumption - Orientation Values"]
[]
[]
["Region","Country","City","Vehicle Category","Description","Fuel Type","Fuel Consumption","Unit","Source","Year","Method of data collection","Comment","URL"]
["Asia","-","-","Motorcycle",null,"Gasoline",1.8,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Passenger car",null,"Gasoline",11.3,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Passenger car",null,"Diesel",8.1999999999999993,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Other vehicle type","Light-duty truck: gross vehicle weight rating < 3,86 tonnes ","Gasoline",12.3,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Other vehicle type","Light-duty truck: gross vehicle weight rating < 3,86 tonnes ","Diesel",9.6,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Minibus","Angkot","Gasoline",12.3,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Minibus","Angkot","Diesel",9.6,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Individual taxi",null,"Gasoline",11.3,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Individual taxi",null,"Diesel",8.1999999999999993,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Bus",null,"Gasoline",24,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","-","-","Bus",null,"Diesel",17.399999999999999,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"International literature research: regional default values extracted from CURB Tool (The World Bank, 2016)","CURB Tool database uses regional specific default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Bandung","Bus",null,"Diesel",33.299999999999997,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Data provided by the local transport authority Dinas Perhubungan (Dishub, 2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Semarang","Bus",null,"Diesel",29.4,"litre/100km","Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Data provided by the local transport authority Dinas Perhubungan (Dishub, 2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Makassar & Batam","BRT","6m bus","Diesel",25,"litre/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","Makassar & Batam","BRT","10.5m bus ","Diesel",45,"litre/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","Makassar & Batam","BRT","12m bus","Diesel",50,"litre/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","Makassar & Batam","BRT","6m bus","Electric",70,"kWh/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","Makassar & Batam","BRT","10.5m bus ","Electric",130,"kWh/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","Makassar & Batam","BRT","12m bus","Electric",150,"kWh/100km","Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"Calculation/Prediction by Fraunhofer IVI",null,"unpublished"]
["Asia","Indonesia","-","LCV","light trucks and pick up trucks: gross vehicle weight rating < 3,86 tonnes ","all",7.69,"litre/100km","Indonesia Road Freight Vehicle Market - Analysis of New Vehicle Sales Data 2010-2021 (GIZ)",2022,"sales-weighted average (2021) ","No real-world consumption","https://changing-transport.org/wp-content/uploads/2022_GIZ-Truck-Sales-Analysis-Indo-1-1.pdf"]
["Americas","Mexico","-","Passenger car",null,"Gasoline",6.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Mexico","-","Passenger car",null,"Electric",15.9,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Mexico","-","Passenger car",null,"Hybrid",4.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Mexico","-","Motorcycle",null,"Gasoline",4.0999999999999996,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Passenger car",null,"Gasoline",9.9,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Passenger car",null,"Diesel",9.3000000000000007,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Minibus",null,"Gasoline",13.5,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Minibus",null,"Diesel",15.7,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","LCV",null,"Gasoline",13.3,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","LCV",null,"Diesel",15.3,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Bus",null,"Gasoline",35.700000000000003,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Bus",null,"Diesel",33.200000000000003,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","Mexico City","BRT","18m, Euro VI","Diesel",70,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"unknown","MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Mexico","Mexico City","BRT","12m, Euro III and IV","CNG",36.414000000000001,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"ifeu calculation based on energy consumption data in MJ/100km","MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Mexico","Mexico City","BRT","18m","CNG",60.69,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"ifeu calculation based on energy consumption data in MJ/100km","MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Mexico","-","Solo truck",null,"Gasoline",27.1,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Solo truck",null,"Diesel",24.3,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Articulated truck",null,"Diesel",43.7,"litre/100km","MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","Guadalajara","Passenger car",null,"Gasoline",9.4,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Passenger car",null,"Diesel",6.8,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Individual taxi",null,"Gasoline",9.1999999999999993,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Individual taxi",null,"Diesel",7.5,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Motorcycle",null,"Gasoline",10,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Minibus",null,"Diesel",31.2,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Bus",null,"Diesel",34.299999999999997,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","BRT","12m, Euro III and IV","Diesel",35,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Mexico","Guadalajara","BRT","18m, Euro III and IV","Diesel",71,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Mexico","Guadalajara","LCV",null,"Gasoline",10.5,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","LCV",null,"Diesel",12.8,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Solo truck",null,"Diesel",22.7,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Articulated truck",null,"Diesel",40.1,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Asia","India","-","Passenger car",null,"Gasoline",5.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","India","-","Passenger car",null,"Diesel",5.3,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","India","-","Passenger car",null,"Electric",15.9,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","India","-","Passenger car",null,"Hybrid",9.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","India","Delhi","Motorcycle","2W, no distinction","Gasoline",1.6666666666666667,"litre/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","Motorcycle","2W, no distinction","Electric",3.7160906726124119,"kWh/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","3W",null,"Gasoline",3.0769230769230771,"litre/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","3W",null,"Diesel",3.5714285714285712,"litre/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","3W",null,"CNG",3.4376074252320388,"kg/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","3W",null,"Electric",5.0864699898270604,"kWh/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","Passenger car","4W, no distinction","Gasoline",5.8139534883720927,"litre/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","Passenger car","4W, no distinction","Diesel",7.4626865671641784,"litre/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","India","Delhi","Passenger car","4W, no distinction","CNG",4.4642857142857144,"kg/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]
["Asia","Japan","-","Passenger car",null,"Gasoline",5.4,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Japan","-","Passenger car",null,"Diesel",5.0999999999999996,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Japan","-","Passenger car",null,"Electric",21.1,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Japan","-","Passenger car",null,"Hybrid",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Korea","-","Passenger car",null,"Gasoline",6.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Korea","-","Passenger car",null,"Diesel",6,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Korea","-","Passenger car",null,"LPG",9.1,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Korea","-","Passenger car",null,"Electric",15,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Korea","-","Passenger car",null,"Hybrid",5.2,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Malaysia","-","Passenger car",null,"Gasoline",6.9,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Malaysia","-","Passenger car",null,"Diesel",9.1999999999999993,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Malaysia","-","Passenger car",null,"Electric",15,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Malaysia","-","Passenger car",null,"Hybrid",7.6,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Russia","-","Passenger car",null,"Gasoline",8.4,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Russia","-","Passenger car",null,"Diesel",6.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Russia","-","Passenger car",null,"Electric",23.8,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","Russia","-","Passenger car",null,"Hybrid",6.3,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Africa","Ivory Coast","Bouaké","Passenger Car",null,"Gasoline",10,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Individual taxi",null,"Gasoline",10,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Individual taxi",null,"Butane",15,"kg/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research","special type of fuel used mainly in taxis: gas bottle filled with butane stored in the trunk of the vehicle serves as fuel","unpublished"]
["Africa","Ivory Coast","Bouaké","Motorcycle",null,"Gasoline",4,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Motorcycle taxi",null,"Gasoline",5.5,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Minibus","Gbaka","Diesel",18,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Other vehicle type","Heavy goods vehicle: no distinction between solo and articulated truck ","Diesel",64,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","LCV",null,"Diesel",25,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","Ivory Coast","Bouaké","Bus",null,"Diesel",31,"litre/100km","Plan de Mobilité Urbaine Durable de Bouaké - Rapport de Diagnostic (AFD)",2022,"Literature research",null,"unpublished"]
["Africa","South Africa","-","Passenger car",null,"Gasoline",7.1,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Africa","South Africa","-","Passenger car",null,"Diesel",7.1,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Africa","South Africa","-","Passenger car",null,"Electric",17.600000000000001,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Africa","South Africa","-","Passenger car",null,"Hybrid",5.2,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Africa","South Africa","Johannesburg","BRT","12m, Euro III and IV","Diesel",49,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2014,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Africa","South Africa","Johannesburg","BRT","18m, Euro III and IV","Diesel",66,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2014,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Africa","Tunisia","-","Passenger car","all size classes, all emission standards","Gasoline",7.5,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on ANME survey (2016)",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Passenger car","all size classes, all emission standards","Diesel",8,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on estimated values",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Passenger car","all size classes, all emission standards","LPG",10.85,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on ANME survey (2016)",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Other vehicle type","Voiture mixte: Category M1 vehicles (UN Consolidated Resolution on the Construction of Vehicles) used for passenger and freight transport; usually higher fuel consumption than passenger cars","Gasoline",8.9,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on ANME survey (2016)",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Other vehicle type","Voiture mixte: Category M1 vehicles (UN Consolidated Resolution on the Construction of Vehicles) used for passenger and freight transport; usually higher fuel consumption than passenger cars","Diesel",9.8000000000000007,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on ANME survey (2016)",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Other vehicle type","Voiture mixte: Category M1 vehicles (UN Consolidated Resolution on the Construction of Vehicles) used for passenger and freight transport; usually higher fuel consumption than passenger cars","LPG",10.8,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on ANME survey (2016)",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Minibus","passenger capacity: <= 10","Gasoline",9.5,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Minibus","passenger capacity: <= 10","Diesel",9.5,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: >10 - 30","Diesel",25.4,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: >30 - 60","Diesel",35.700000000000003,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: >60 ","Diesel",35.700000000000003,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","LCV","all size classes, all emission standards","Gasoline",10.3,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","LCV","all size classes, all emission standards","Diesel",9.6999999999999993,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","all size classes","Diesel",19.399999999999999,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calcultion: weighted average of four size classes based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: <= 7.5 t","Diesel",12.4,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: >7.5 t - 16 t","Diesel",19.100000000000001,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: >16 t - 32 t","Diesel",26.1,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: > 32 t","Diesel",31.2,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","all size classes","Diesel",25.5,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calcultion: weighted average of four size classes based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: <= 7.5 t","Diesel",12.6,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: >7.5 t - 16 t","Diesel",21.5,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: >16 t - 32 t","Diesel",25.4,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: > 32 t","Diesel",34.1,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of seven different emission standards based on EMEP/EEA default values (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Motorcycle","Euro 4, > 50 cm3","Gasoline",6.21,"litre/100km","Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"EMEP/EEA default value (2013)","EMEP/EEA uses default values. They are not as informative and reliable as data collected in the framework of, e.g. field surveys or counts.","Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
[" ","Kenya","-","Passenger car",null,"all",8.1999999999999993,"litre/100km","Updated Transport Data in Kenya (GIZ)",2019,"Calculation in HBEFA Version 3.3 based on fleet and activity data obtained from Ogo et al. (2018)",null,"https://changing-transport.org/wp-content/uploads/2019_Updated-transport-data-in-Kenya.pdf"]
["Africa","Kenya","-","LCV",null,"all",7.7,"litre/100km","Updated Transport Data in Kenya (GIZ)",2019,"Calculation in HBEFA Version 3.3 based on fleet and activity data obtained from Ogo et al. (2018)",null,"https://changing-transport.org/wp-content/uploads/2019_Updated-transport-data-in-Kenya.pdf"]
["Africa","Kenya","-","Bus",null,"all",31.6,"litre/100km","Updated Transport Data in Kenya (GIZ)",2019,"Calculation in HBEFA Version 3.3 based on fleet and activity data obtained from Ogo et al. (2018)",null,"https://changing-transport.org/wp-content/uploads/2019_Updated-transport-data-in-Kenya.pdf"]
["Africa","Kenya","-","Other vehicle type","Heavy goods vehicle: no distinction between solo and articulated truck ","all",26.8,"litre/100km","Updated Transport Data in Kenya (GIZ)",2019,"Calculation in HBEFA Version 3.3 based on fleet and activity data obtained from Ogo et al. (2018)",null,"https://changing-transport.org/wp-content/uploads/2019_Updated-transport-data-in-Kenya.pdf"]
["Africa","Kenya","-","Motorcycle",null,"all",4.3,"litre/100km","Updated Transport Data in Kenya (GIZ)",2019,"Calculation in HBEFA Version 3.3 based on fleet and activity data obtained from Ogo et al. (2018)",null,"https://changing-transport.org/wp-content/uploads/2019_Updated-transport-data-in-Kenya.pdf"]
["Africa","Kenya","-","Passenger car","Euro 1, all size classes","Gasoline",8.1,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Passenger car","Euro 1, all size classes","Diesel",7.4,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","LCV","Euro 1, all size classes","Gasoline",9,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","LCV","Euro 1, all size classes","Diesel",7.4,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Bus","Euro 1, all size classes","Diesel",31.5,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, all size classes","Diesel",17.5,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of five size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, total permissible weight: < 7.5 t","Diesel",13.2,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, total permissible weight: 7.5 t - 12 t","Diesel",19.899999999999999,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, total permissible weight: > 12 - 14 t","Diesel",21.7,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, total permissible weight: > 14 - 20 t","Diesel",26.3,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Solo truck","Euro 1, total permissible weight: > 20 - 26 t","Diesel",33.5,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Articulated truck","Euro 1, all size classes","Diesel",37.200000000000003,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Articulated truck","Euro 1, total permissible weight: > 20 - 28 t","Diesel",33.299999999999997,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Articulated truck","Euro 1, total permissible weight: > 28 - 34 t","Diesel",35.299999999999997,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Articulated truck","Euro 1, total permissible weight: > 34 - 40 t","Diesel",41,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Africa","Kenya","-","Motorcycle","Euro 1, all size classes","Gasoline",3.8,"litre/100km","Kenya: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2020,"ifeu calculation: weighted average of three size classes based on Infras (2018)",null,"https://changing-transport.org/tool/trigger-kenya/"]
["Americas","USA","-","Passenger car",null,"Gasoline",8.6,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","USA","-","Passenger car",null,"Diesel",9,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","USA","-","Passenger car",null,"Electric",16.7,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","USA","-","Passenger car",null,"Hybrid",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","USA","-","Motorcycle","Motorcycles","Gasoline",10.244481675218992,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","all size classes","Gasoline",10.4,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of three size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","all size classes","Diesel",12.8,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of three size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","all size classes","E85",15.6,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Trucks and Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs) ","Gasoline",11.7,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Trucks and Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs) ","Diesel",13.6,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Vehicles","Gasoline",8.9518076357081089,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Vehicles","Diesel",8.2598443554535095,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Vehicles","E85",12.963031741583467,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Trucks","Gasoline",11.595271223203452,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Trucks","Diesel",9.2856847705536687,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Light-Duty Trucks","E85",16.206340078684892,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Gasoline",16.77618325564837,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Passenger car","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Diesel",15.132078498669715,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","all size classes","Gasoline",12.1,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","all size classes","Diesel",15.3,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","Light-Duty Trucks","Gasoline",11.024496247508447,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","Light-Duty Trucks","Diesel",10.241250646612308,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","Light-Duty Trucks","E85",15.935420448472245,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Gasoline",18.924539149211917,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","LCV","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Diesel",15.906288692045138,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","all size classes, w/o school buses","Gasoline",42.5,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of six size classes, other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","all size classes, w/o school buses","Diesel",39.6,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of six size classes, other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","all size classes, w/o school buses","CNG",35.299999999999997,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes, other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Urban Bus (see CFR Sec. 86.091_2)","Diesel",39.1,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Urban Bus (see CFR Sec. 86.091_2)","CNG",33.9,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Class 4 and 5 Trucks (14,00 lbs. < GVWR <= 19,500 lbs.)","Gasoline",42.5,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Class 4 and 5 Trucks (14,00 lbs. < GVWR <= 19,500 lbs.)","Diesel",33.6,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Gasoline",38.799999999999997,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Diesel",38.4,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","8a and 8b Trucks (GVWR > 33,000 lbs.)","Gasoline",41.7,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of other buses and transit buses",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","8a and 8b Trucks (GVWR > 33,000 lbs.)","Diesel",40.6,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","8a and 8b Trucks (GVWR > 33,000 lbs.)","CNG",35.799999999999997,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","school bus, all size classes","Gasoline",32.700000000000003,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of four size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","school bus, all size classes","Diesel",29.2,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of four size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Bus","school bus, 8a and 8b Trucks (GVWR > 33,000 lbs.)","CNG",28.339523153704626,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","all size classes","Gasoline",27.9,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of eight size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","all size classes","Diesel",24.8,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of eight size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","all size classes","CNG",31.1,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Gasoline",25.4,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 2b and 3 Trucks (8,500 lbs < GVWR <= 14,000 lbs)","Diesel",19.8,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 4 and 5 Trucks (14,00 lbs. < GVWR <= 19,500 lbs.)","Gasoline",28,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 4 and 5 Trucks (14,00 lbs. < GVWR <= 19,500 lbs.)","Diesel",21.2,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Gasoline",35.9,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Diesel",28.2,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","Gasoline",47.2,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","Diesel",34.299999999999997,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Solo truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","CNG",31.1,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","all size classes","Gasoline",40.5,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of two size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","all size classes","Diesel",41.1,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu calculation: weighted average of six size classes",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","all size classes","CNG",34.5,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Gasoline",39.799999999999997,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","Class 6 and 7 Trucks (19,500 lbs. < GVWR < =33,000 lbs.)","Diesel",39.299999999999997,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","Gasoline",44.2,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","Diesel",41.2,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","8a and 8b Trucks (GVWR > 33,000 lbs.)","CNG",34.5,"kg/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,null,null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Americas","USA","-","Articulated truck","Glider Vehicles","Diesel",40.799999999999997,"litre/100km","EPA Motor Vehicle Emission Simulator (MOVES) - Version 3",2019,"ifeu weighted average of short and long-haul trucks",null,"https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves"]
["Africa","Senegal","Dakar","Passenger Car",null,"all",9,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption",null,"unpublished"]
["Africa","Senegal","Dakar","Motorcycle",null,"all",8,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption",null,"unpublished"]
["Africa","Senegal","Dakar","Individual taxi",null,"all",14,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption",null,"unpublished"]
["Africa","Senegal","Dakar","Bus","Dakar Dem Dikk: 12m bus","all",24,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption","structured service","unpublished"]
["Africa","Senegal","Dakar","Minibus","AFTU cars","all",14,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption","structured service","unpublished"]
["Africa","Senegal","Dakar","Bus","Ndiaga Ndiaye: bus with 35 to 45 passengers capacity; intercity transport","all",28,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption","artisinal transport","unpublished"]
["Africa","Senegal","Dakar","BRT","Car rapides: BRT-like service with 20 to 30 passengers capacity","all",19,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption",null,"unpublished"]
["Africa","Senegal","Dakar","Other vehicle type","Clando: Passenger car used for bus- or taxi-like service","all",14,"litre/100km","Plan de Mobilité Urbaine Soutenable (PMUS) de Dakar - Rapport du Module 1: Diagnostic (CETUD)",2021,"assumption",null,"unpublished"]
["Africa","Ghana","Kumasi","Minibus","Trotro: Minivans/Minibus with 10-15 passenger capacity","Gasoline",12.3,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Minibus","Trotro: Minivans/Minibus with 10-15 passenger capacity","Diesel",7.7,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Passenger Car",null,"Gasoline",8.3000000000000007,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Passenger Car",null,"Diesel",5.9,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Passenger Car",null,"LPG",9.3000000000000007,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Individual taxi",null,"Gasoline",8.3000000000000007,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Individual taxi",null,"Diesel",5.9,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Individual taxi",null,"LPG",9.3000000000000007,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","3W","Pragia","Gasoline",5,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Motorcycle",null,"Gasoline",2.5,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Very light commercial vehicle",null,"Diesel",7.7,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","LCV",null,"Diesel",24,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Solo truck",null,"Diesel",37.799999999999997,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ghana","Kumasi","Articulated truck",null,"Diesel",50,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Africa","Ethiopia","Dire Dawa","3W","Bajaj","Gasoline",4.2,"litre/100km","Elaboration of Dire Dawa Sustainable Urban Mobility Plan - Urban mobility diagnosis as part of MYC support SUMP preparation (AFD)",2020,"Estimation","Data collection was part of MYC support for SUMP preparation: https://www.mobiliseyourcity.net/factsheet-dire-dawa","unpublished"]
["Americas","Ecuador","Ambato","Passenger Car",null,"Gasoline",8.1999999999999993,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Passenger Car",null,"Diesel",6.5,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Passenger Car",null,"LPG",12.3,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Passenger Car",null,"Electric",17.399999999999999,"kWh/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Individual taxi",null,"Gasoline",6.9,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Individual taxi",null,"Diesel",5.3,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Motorcycle",null,"Gasoline",2.5,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Minibus",null,"Gasoline",17,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Bus",null,"Diesel",23,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Solo truck",null,"Diesel",24,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"Criterio Hill (2019)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Passenger car",null,"Gasoline",6.8,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Passenger car",null,"Diesel",5.4,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Individual taxi",null,"Gasoline",6.9,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Individual taxi",null,"Diesel",5.3,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Motorcycle",null,"Gasoline",2.5,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Minibus",null,"Gasoline",28.3,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Bus",null,"Diesel",28.3,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","LCV",null,"Gasoline",9.9,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","LCV",null,"Diesel",7.3,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Santiago","Bus","BYD K9FE, 12m","Electric",100.6,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 11/2017 to 10/2018","Average of two buses monitored","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Americas","Chile","-","Passenger car",null,"Gasoline",7.9,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Chile","-","Passenger car",null,"Diesel",7.2,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Chile","-","Passenger car",null,"Electric",15,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Chile","-","Passenger car",null,"Hybrid",4.9000000000000004,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Chile","-","Passenger car",null,"Gasoline",7.4,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Passenger car",null,"Diesel",5.6,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Individual taxi",null,"Gasoline",6.9,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Individual taxi",null,"Diesel",5.6,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Individual taxi",null,"Electric",18.399999999999999,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Motorcycle",null,"Gasoline",2.5,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Minibus",null,"Gasoline",28.7,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Minibus",null,"Electric",149,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Bus",null,"Diesel",28.7,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Bus",null,"Electric",149,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","LCV",null,"Gasoline",8.6,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","LCV",null,"Diesel",7.4,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","LCV",null,"CNG",6.3,"kg/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","LCV",null,"Electric",18.399999999999999,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Passenger car",null,"Gasoline",8,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Passenger car",null,"Diesel",7,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Individual taxi",null,"Gasoline",8,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Individual taxi",null,"Diesel",7,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Motorcycle",null,"Gasoline",3.1,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Bus",null,"Diesel",40,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Bus","BYD K9 bus, 12m, 324 kWh battery","Electric",126,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 11/2013 to 12/2013","Average of two buses monitored","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Americas","Uruguay","Montevideo","LCV",null,"Gasoline",8,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","LCV",null,"Diesel",7,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"Observatorio Montevideo (2019) - https://montevideo.gub.uy/observatorio-de-movilidad","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Argentina","Buenos Aires","Bus","Yutong ZK6128BEVG, 12m, 324 kWh battery","Electric",91,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 05/2019 to 03/2020","Lowest monthly average of two buses","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Americas","Argentina","Buenos Aires","Bus","Yutong ZK6128BEVG, 12m, 324 kWh battery","Electric",112,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 05/2019 to 03/2020","Highest monthly average of two buses","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Americas","Argentina","-","Passenger Car",null,"Gasoline",7.6,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Argentina","-","Passenger Car",null,"Diesel",7.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Argentina","-","Passenger Car",null,"Electric",17.600000000000001,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Argentina","-","Passenger Car",null,"Gasoline Hybrid",4.9000000000000004,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Brazil","Sao Paolo","Bus",null,"Electric",122.8,"kWh/100km","Operational analysis of battery electric buses in Sao Paula (ICCT)",2022,"Monitoring of real time values with telematic equipment (GO9 devices from Geotab) in 2021","Only two buses have been monitored. Nevertheless an informative value and more reliable than default values.","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Americas","Brazil","-","Passenger Car",null,"Gasoline",9.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Brazil","-","Passenger Car",null,"Diesel",8.8000000000000007,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Brazil","-","Passenger Car",null,"Electric",17.600000000000001,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Colombia","Bogotá","BRT","12m, Euro III and IV","Diesel",42,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Bogotá","BRT","18m, Euro III and IV","Diesel",61,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Barranquilla","BRT","12m, Euro III and IV","Diesel",87,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Barranquilla","BRT","18m, Euro III and IV","Diesel",65,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Cali","BRT","12m, Euro III and IV","Diesel",62,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Cali","BRT","18m, Euro III and IV","Diesel",85,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2018,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Medellin","BRT","12m bus","Diesel",57.01295122623312,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from BRT operators (2015)","Comparison between buses in Bogota and Cali; 2014-2015","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Medellin","BRT","18m bus","Diesel",78.010471204188477,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from BRT operators (2015)","Comparison between buses in Bogota and Cali; 2014-2016","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Medellin","BRT","12m bus","CNG",55.520833333333336,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from BRT operators (2015)","Comparison between buses in Bogota and Cali; 2014-2017","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Americas","Colombia","Medellin","BRT","18m bus","CNG",65.8125,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from BRT operators (2015)","Comparison between buses in Bogota and Cali; 2014-2018","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","-","Passenger Car",null,"Gasoline",7.4,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","China","-","Passenger Car",null,"Diesel",8.3000000000000007,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","China","-","Passenger Car",null,"Electric",14.1,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","China","-","Passenger Car",null,"Hybrid",5.3,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Asia","China","Shenzen","Bus","67% of the fleet: BYD K8, 10.5m","Electric",86,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 01/2019 to 12/2019","Lowest monthly average of 6.053 buses","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Asia","China","Shenzen","Bus","67% of the fleet: BYD K8, 10.5m","Electric",108,"kWh/100km","Operational analysis of battery electric buses in Sao Paulo (ICCT)",2023,"Monitoring information from 01/2019 to 12/2019","Highest monthly average of 6.053 buses","https://theicct.org/wp-content/uploads/2023/02/Operational-analyis-of-battery-electric-buses-in-Sao-Paulo-final-feb2023.pdf"]
["Asia","China","Zhengzhou","BRT","12m, Euro III and IV","Diesel",40,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2014,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","18m, Euro III and IV","Diesel",66,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2014,"Monitoring information based on Grütter Consulting (2014)","Consumption averages of 2012-2014","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","12m, Euro III and IV","Diesel hybrid",29.6,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Zhengzhou Bus Communication Company (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","18m, Euro III and IV","Diesel hybrid",43.56,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Zhengzhou Bus Communication Company (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","10-12m bus","Diesel hybrid",28.575365114356572,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from Zhengzhou Bus Communication Compancy (2015)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","10-12m bus","CNG hybrid",25.395833333333332,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2015,"Monitoring information from Zhengzhou Bus Communication Compancy (2015)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Zhengzhou","BRT","12m bus","Electric",110,"kWh/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from BRT Zhengzhou (2016)","operation with AC","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Hengyang","BRT","10,5m","Diesel",30.614494351060898,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Hengyang Municipal Transportation Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Hengyang","BRT","10,5m","Diesel hybrid",26.634610085422981,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Hengyang Municipal Transportation Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Hengyang","BRT","10,5m","CNG",29.479166666666668,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Hengyang Municipal Transportation Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Fuzhou","BRT","12m","Diesel",38.603548991513279,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Fuzhou Public Transport Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Fuzhou","BRT","12m","Diesel hybrid",30.496803703295491,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Fuzhou Public Transport Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Fuzhou","BRT","12m","CNG",33,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Fuzhou Public Transport Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Fuzhou","Bus","12m","Electric",100,"kWh/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2017,"Monitoring information from Fuzhou Public Transport Group (2017)","operation with AC","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Jinan","BRT","12m","Diesel",35.793012234101177,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Jinan Public Transit Company (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Jinan","BRT","12m","Diesel hybrid",30.066130276644987,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Jinan Public Transit Company (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Jinan","BRT","12m","CNG",30.916666666666668,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Jinan Public Transit Company (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Jinan","Bus","12m","Electric",126,"kWh/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2017,"Monitoring information from Jinan Public Transit Company (2017)","operation with AC","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Beijing","BRT","12m","Diesel",37.501377714096769,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Beijing Bus Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Beijing","BRT","12m","Diesel hybrid",28.876060839854514,"litre/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"ifeu calculation based on Diesel saving values from Beijing Bus Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Beijing","BRT","12m","CNG",38.395833333333336,"kg/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2016,"Monitoring information from Beijing Bus Group (2016)",null,"https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","China","Beijing","Bus","12m","Electric",120,"kWh/100km","Alternative Bus Technologies (C40 Cities Finance Facility in collaboration with Grütter Consulting)",2017,"Monitoring information from Beijing Bus Group (2017)","operation with AC","https://cff-prod.s3.amazonaws.com/storage/files/J5uOxG6boRSm6lb8EyU8lACO1Y3EhX53gx1yEKJs.pdf"]
["Asia","Philippines","-","Other vehicle type","Traditional Jeepney","Diesel",16.899999999999999,"litre/100km","Reforming the (semi-)informal minibus system in the Philippines - The 'Public Utility Vehicle Modernization Program' Early Route Evaluation (GIZ) ",2019,"Interviews and on bus surveys",null,"https://changing-transport.org/wp-content/uploads/2019-11_GIZ_Jeepney-Modernisation_Early-Evaluation_final.pdf"]
["Asia","Philippines","-","Other vehicle type","Modern Jeepney with 30 passengers capacity","Diesel",19.2,"litre/100km","Reforming the (semi-)informal minibus system in the Philippines - The 'Public Utility Vehicle Modernization Program' Early Route Evaluation (GIZ) ",2019,"Interviews and on bus surveys",null,"https://changing-transport.org/wp-content/uploads/2019-11_GIZ_Jeepney-Modernisation_Early-Evaluation_final.pdf"]
["Asia","Philippines","Manila","Bus","Euro IV","Diesel",40.200000000000003,"litre/100km","National Urban Mobility Program - EDSA-Bus Case Study: Operations and Business Model - Final Report (GIZ TRANSfer Manila)",2018,"Operating cost model populated with local values",null,"https://changing-transport.org/wp-content/uploads/2018-12-07-EDSA-Bus-Report.pdf"]
["Asia","Vietnam","-","Passenger Car","less than nine seats","all",6.8,"litre/100km","Fuel Economy Dataset and Baseline for Passenger Cars under 9 Seats in Viet Nam (GIZ)",2023,"weighted average of fuel consumption (manufacturer specification) based on newly registered vehicles ","Market share of newly registered passenger cars: 91,2 % Gasoline; 8,8%  Diesel (2020)","https://changing-transport.org/wp-content/uploads/2023_March_ReportFuelEconomy_EN.pdf"]
["Asia","Vietnam","-","Motorcycle","2W: Motorcycles and mopeds","Gasoline",1.92,"litre/100km","Working paper 2022-08 - Two.wheelers in Vietnam: A baseline analysis of fleet characteristics and fuel consumption in 2019 and 2020 (ICCT)",2022,"sales-weighted average of new 2W fleet (top 50 models sold in 2020) based on manufacturer specifications",null,"https://theicct.org/wp-content/uploads/2022/02/2w-vietnam-baseline-analysis-2019-and-2020.pdf"]
["Asia","Vietnam","-","Motorcycle","2W: Motorcycles and mopeds","Electric",1.4,"kWh/100km","Working paper 2022-08 - Two.wheelers in Vietnam: A baseline analysis of fleet characteristics and fuel consumption in 2019 and 2020 (ICCT)",2022,"sales-weighted average of new 2W fleet (top 50 models sold in 2020) based on manufacturer specifications",null,"https://theicct.org/wp-content/uploads/2022/02/2w-vietnam-baseline-analysis-2019-and-2020.pdf"]
["Oceania","Australia","-","Passenger Car",null,"Gasoline",8.1999999999999993,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Oceania","Australia","-","Passenger Car","  ","Diesel",7.8,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Oceania","Australia","-","Passenger Car",null,"LPG",14.3,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2017,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Oceania","Australia","-","Passenger Car",null,"Electric",17.600000000000001,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Oceania","Australia","-","Passenger Car",null,"Hybrid",4.9000000000000004,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Canada","-","Passenger Car",null,"Gasoline",8.8000000000000007,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Canada","-","Passenger Car",null,"Diesel",8.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Canada","-","Passenger Car",null,"Electric",16.7,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Americas","Canada","-","Passenger Car",null,"Hybrid",5.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","France","-","Passenger car",null,"Gasoline",5.8,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","France","-","Passenger car",null,"Diesel",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","France","-","Passenger car",null,"LPG",9.1999999999999993,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","France","-","Passenger car",null,"Electric",15.9,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","France","-","Passenger car",null,"Hybrid",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Germany","-","Passenger car",null,"Gasoline",6.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Germany","-","Passenger car",null,"Diesel",5.2,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Germany","-","Passenger car",null,"LPG",9.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Germany","-","Passenger car",null,"Electric",16.7,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Germany","-","Passenger car",null,"Hybrid",4.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Italy","-","Passenger car",null,"Gasoline",6.1,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Italy","-","Passenger car",null,"Diesel",4.5999999999999996,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Italy","-","Passenger car",null,"LPG",8.8000000000000007,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Italy","-","Passenger car",null,"Electric",16.7,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Italy","-","Passenger car",null,"Hybrid",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Turkey","-","Passenger car",null,"Gasoline",6.5,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Turkey","-","Passenger car",null,"Diesel",4.2,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Turkey","-","Passenger car",null,"Electric",20.3,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Turkey","-","Passenger car",null,"Hybrid",4.0999999999999996,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Ukraine","-","Passenger car",null,"Gasoline",7.9,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Ukraine","-","Passenger car",null,"Diesel",5.4,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Ukraine","-","Passenger car",null,"LPG",9.9,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Ukraine","-","Passenger car",null,"Electric",17.600000000000001,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","Ukraine","-","Passenger car",null,"Hybrid",6,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","United Kingdom","-","Passenger car",null,"Gasoline",6.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","United Kingdom","-","Passenger car",null,"Diesel",5.4,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","United Kingdom","-","Passenger car",null,"Electric",18.5,"kWh/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
["Europe","United Kingdom","-","Passenger car",null,"Hybrid",4.7,"litre/100km","Global Fuel Economy Initiative 2021 - Data Explorer (iea)",2019,"Detailed country-level data on fuel economy by powertrain",null,"https://www.iea.org/data-and-statistics/data-tools/global-fuel-economy-initiative-2021-data-explorer"]
[]
[]
[]
[]
[]
[]
["implausible values (hidden) - to be checked by the MYC secreteriat"]
[]
["Americas","Mexico","Guadalajara","Minibus",null,"Gasoline",34.299999999999997,"litre/100km","Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Solo truck",null,"Diesel",15.2,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Articulated truck",null,"Diesel",15.2,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Passenger car",null,"Electric",3.6,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Motorcycle",null,"Electric",0.7,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Articulated truck",null,"Diesel",14.8,"litre/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Articulated truck",null,"Electric",38,"kWh/100km","Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Africa","Ghana","Kumasi","Very light commercial vehicle",null,"Gasoline",12.3,"litre/100km","Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis report (MYC)",2023,"Literature research",null,"unpublished"]
["Asia","India","Delhi","Passenger car","4W, no distinction","Electric",9.0497737556561084,"kWh/100km","Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Market Survey",null,"unpublished"]

{"sheet":"8 Occupancy_Load","index":14,"n_rows":125,"n_cols":12,"rows_kept":125,"cut":false,"hidden":false,"merged":[[2,4,3,11],[1,4,1,11],[7,0,9,11]]}
[]
[null,null,null,null,"8 Occupancy & Load factor - Orientation Values"]
[null,null,null,null,"In the list below you can find orientation values for vehicle occupancy and load factors of different vehicle types for several regions, countries and cities. There is a filter function which allows to sort the data alphabetically or to show data only for a selected country for example. If the desired category is not available in the column \"Vehicle Category\", you can try to filter for \"Other vehicle type\". This category includes country specific vehicle types for which more information is given in the column \"Description\". Please note that the data only serve as orientation values and should only be used if no other data is available. Values that were collected within the framwork of a survey, counts or stem from monitoring information are more reliable than regional default values or estimated values. If the desired country is not given in the list please choose a country which represents it best. Nevertheless, the best option is always to collect project specific data. "]
[]
[]
[]
[]
["Occupancy & Load Factor - Orientation Values"]
[]
[]
["Region","Country","City","Vehicle Category","Description","Occupancy\n(passengers/vehicle)","Load\n(tonnes/vehicle)","Source","Year","Method of data collection","Comment","Report/URL"]
["Asia","Indonesia","Bandung","Motorcycle",null,1.4,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Semarang","Motorcycle",null,1.3,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Pekanbaru","Motorcycle",null,1.3,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Bandung","Passenger car",null,2,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Data from Mode Share Study by UNESCAP (2018)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Bandung","Minibus","Angkot",3,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Semarang","Minibus","Angkot",2.8,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Pekanbaru","Minibus","Angkot",2,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary data from on vehicle traffic counts by Far-East Mobility (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Bandung","Individual taxi",null,2,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Data from Mode Share Study by UNESCAP (2018)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Bandung","Bus",null,9.1999999999999993,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary Data for Trans Metro Bandung, Pekanbaru and Semarang by DISHUB, local operator (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Semarang","Bus",null,34.799999999999997,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary Data for Trans Metro Bandung, Pekanbaru and Semarang by DISHUB, local operator (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Pekanbaru","Bus",null,13.9,null,"Greenhouse Gas Emissions of Transport and Reduction Potentials of BRT in Bandung, Pekanbaru and Semarang - Pre-Feasibility Study for the Implementation of BRT within the \"Short-Term Expert Support on Sustainable Urban Transport Improvements in Indonesia\" (ifeu gGmbH)",2019,"Primary Data for Trans Metro Bandung, Pekanbaru and Semarang by DISHUB, local operator (2019)",null,"https://www.changing-transport.org/wp-content/uploads/2020_GHG-of-Transport-and-Reduction-Potentials-of-BRT-in-Bandung-Pekanbaru-and-Semarang.pdf"]
["Asia","Indonesia","Makassar","BRT",null,13,null,"Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"ifeu calculation for 2023",null,"unpublished"]
["Asia","Indonesia","Batam","BRT",null,13.4,null,"Greenhouse Gas Emissions Reduction Potentials for the Implementation of a BRT System in Makassar and Batam - Short-Term Expert Support on Sustainable Urban Transport Improbements in Indonesia (ifeu gGmbH)",2021,"ifeu calculation for 2023",null,"unpublished"]
["Americas","Mexico","-","Motorcycle",null,1,null,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Passenger car",null,1.5,null,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Minibus",null,1.9,null,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","LCV",null,null,0.6,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Bus",null,40,null,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Solo truck",null,null,5.9,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","-","Articulated truck",null,null,17.100000000000001,"MOVES-Mexico",2013,null,"MOVES-Mexico consists of a Mexico-specific MOVES database that works with MOVES2014a (https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves). An installation guide can be found in the MOVES-Mexico User Guide (see column Project/Report/URL)  ","https://pdf.usaid.gov/pdf_docs/pa00mbg7.pdf"]
["Americas","Mexico","Guadalajara","Passenger car",null,1.6,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Individual taxi",null,1.1000000000000001,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Motorcycle",null,1.2,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Minibus",null,16.399999999999999,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Mexico","Guadalajara","Bus",null,16.399999999999999,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC en el Área Metropolitana de Guadalajara (Euroclima+)",2022,"WIR.IMEPLAN (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Asia","India","Delhi","Motorcycle","2W, no distinction",1.2,null,"Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Transport demand forecast study and development of  an integrated road cum multi-modal public transport network for modal public transport network for NCT of Delhi",null,"unpublished"]
["Asia","India","Delhi","3W",null,2.1,null,"Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Transport demand forecast study and development of  an integrated road cum multi-modal public transport network for modal public transport network for NCT of Delhi",null,"unpublished"]
["Asia","India","Delhi","Passenger car","4W",2.2000000000000002,null,"Emission Reduction (Actual and Potential) by Electric Vehicles (Evs) for Delhi for 2021 (GIZ India)",2021,"Transport demand forecast study and development of  an integrated road cum multi-modal public transport network for modal public transport network for NCT of Delhi",null,"unpublished"]
["Africa","Tunisia","-","Passenger car","all size classes",1.8,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"IEA, non OECD values",null,"Data collection within the framework of \"The GHG mitigation concept of Tunisia's National Urban Mobility Policy\": https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Other vehicle type","Voiture mixte: Category M1 vehicles (UN Consolidated Resolution on the Construction of Vehicles) used for passenger and freight transport; usually higher fuel consumption than passenger cars",1.8,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"IEA, non OECD values",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Minibus","passenger capacity: <= 10",10.7,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"IEA, non OECD values",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: > 10 - 30",15,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: >30 - 60",30,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Bus","passenger capacity: >60 ",30,null,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","LCV","all size classes",null,0.5,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","all size classes",null,5.6,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of four size classes based on estimated values",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: <= 7.5 t",null,1.5,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: >7.5 t - 16 t",null,5,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: >16 t - 32 t",null,10,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Solo truck","total permissible weight: > 32 t",null,12,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","all size classes",null,10,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu calculation: weighted average of four size classes based on estimated values",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: <= 7.5 t",null,1.5,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: >7.5 t - 16 t",null,5,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: >16 t - 32 t",null,10,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Africa","Tunisia","-","Articulated truck","total permissible weight: > 32 t",null,12,"Tunisia: Transport Inventory and Greenhouse Gas Emissions Reporting Tool (GIZ)",2019,"ifeu estimation",null,"Data collection within the framework of a NUMP project for Tunisia: https://changing-transport.org/wp-content/uploads/2019_The_GHG_mitigation_concept_of_Tunisias_National_Urban_Mobility_Policy.pdf"]
["Asia","Pakistan","Peshawar","3W","Rickshaw: 3-seated 3W",1.3,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Peshawar - Urban Mobility Diagnosis (AFD)",2022,"Household survey by Systra-Exponent (2022)","taxi like service; \n22500 registered by RTA; up to 22500 w/o registration","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Peshawar","3W","Qingqi: 6-seated motorcycle-based 3W",4.0999999999999996,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Peshawar - Urban Mobility Diagnosis (AFD)",2022,"Visual occupancy survey by Sistra-Exponent (2022)","no official counts b/c informal service; 70000 produced a year","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Peshawar","Minibus","Suzuki service: 12-seated customised minibus",8,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Peshawar - Urban Mobility Diagnosis (AFD)",2022,"Visual occupancy survey by Sistra-Exponent (2022)","customised pickup for passenger transport; 5200 registered vehicles; estimate of 5000 unregistered vehicles","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Mingora","3W","Rickshaw: 3-seated 3W",1.5,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Mingora - Urban Mobility Diagnosis (AFD)",2022,"Household survey by Systra-Exponent (2022)","taxi like service","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Mingora","3W","Qingqi: 6-seated motorcycle-based 3W",7.8,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Mingora - Urban Mobility Diagnosis (AFD)",2022,"Household survey by Systra-Exponent (2022)","informal so no official counts","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Mingora","Minibus","Suzuki service: 12-seated customised minibus",12.1,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Mingora - Urban Mobility Diagnosis (AFD)",2022,"Household survey by Systra-Exponent (2022)","pickups customised for passenger transport","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Mingora","Bus","Hiace service: 18-seated customised wagon",21,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Mingora - Urban Mobility Diagnosis (AFD)",2022,"Household survey by Systra-Exponent (2022)","pickups customised for passenger transport;  informal without license","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Abbottabat","Minibus","Suzuki service: 12-seated customised minibus",12,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Abbottabad - Urban Mobility Diagnosis (AFD)",2022,"Paratransit survey ","pickups customised for passenger transport; large number of vehicles without operation","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Asia","Pakistan","Abbottabat","Minibus","Bolan service: 9-seated customised minibus",12.3,null,"Khyber Pakhtunkhwa Sustainable Urban Mobility Plans -  City of Abbottabad - Urban Mobility Diagnosis (AFD)",2022,"Paratransit survey","wagon trucks customised for passenger transport; no license for this service","Data collection supported by MYC: https://www.mobiliseyourcity.net/khyber-pakhtunkhwa-sustainable-urban-mobility-plans-first-diagnosis-results-preparing-sustainable"]
["Africa","Cameroon","Yaoundé","Bus",null,30,null,"Plan de Mobilité Urbaine Soutenable pour la Communauté Urbaine de Yaoundé - Rapport technique (MYC)",2019,"dataanalysis, household surveys by STECY (bus operator) in January 2018","Transport collectif institutionnel (STECY)","https://www.mobiliseyourcity.net/sites/default/files/2020-01/PMUS%20Yaound%C3%A9%20-%20Septembre%202019.pdf"]
["Africa","Cameroon","Yaoundé","Minibus",null,15,null,"Plan de Mobilité Urbaine Soutenable pour la Communauté Urbaine de Yaoundé - Rapport technique (MYC)",2019,"Counts","Transport artisinal","https://www.mobiliseyourcity.net/sites/default/files/2020-01/PMUS%20Yaound%C3%A9%20-%20Septembre%202019.pdf"]
["Africa","Cameroon","Yaoundé","Individual taxi","mostly 5-seater",3.02,null,"Plan de Mobilité Urbaine Soutenable pour la Communauté Urbaine de Yaoundé - Rapport technique (MYC)",2019,"Counts and surveys","Transport artisinal","https://www.mobiliseyourcity.net/sites/default/files/2020-01/PMUS%20Yaound%C3%A9%20-%20Septembre%202019.pdf"]
["Africa","Cameroon","Yaoundé","Motorcycle taxi",null,1.1000000000000001,null,"Plan de Mobilité Urbaine Soutenable pour la Communauté Urbaine de Yaoundé - Rapport technique (MYC)",2019,"Counts and surveys","Transport artisinal","https://www.mobiliseyourcity.net/sites/default/files/2020-01/PMUS%20Yaound%C3%A9%20-%20Septembre%202019.pdf"]
["Africa","Cameroon","Douala","Passenger car ",null,1.9,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Africa","Cameroon","Douala","Individual taxi",null,2.7,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Africa","Cameroon","Douala","Motorcycle",null,1.4,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Africa","Cameroon","Douala","Motorcycle taxi",null,1.4,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Africa","Cameroon","Douala","Bus","School bus",20,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Africa","Cameroon","Douala","Bus",null,20,null,"Plan de Mobilité Urbaine Soutenable (PMUS) de Douala - Module 1 - Diagnostic (AFD)",2018,"Counts by SYSTRA (2018)",null,"unpublished"]
["Asia","Sri Lanka","Kurunegala","Motorcycle",null,1.3,null,"Sustainable Urban Mobility Plan (SUMP) for Kurunegala - Diagnosis Report (MYC)",2020,"Roadside Origin-Destination surveys (October 2019)",null,"unpublished"]
["Asia","Sri Lanka","Kurunegala","3W",null,1.5,null,"Sustainable Urban Mobility Plan (SUMP) for Kurunegala - Diagnosis Report (MYC)",2020,"Roadside Origin-Destination surveys (October 2019)",null,"unpublished"]
["Asia","Sri Lanka","Kurunegala","Passenger car","Car",1.4,null,"Sustainable Urban Mobility Plan (SUMP) for Kurunegala - Diagnosis Report (MYC)",2020,"Roadside Origin-Destination surveys (October 2019)",null,"unpublished"]
["Asia","Sri Lanka","Kurunegala","Passenger car","Jeep",1.2,null,"Sustainable Urban Mobility Plan (SUMP) for Kurunegala - Diagnosis Report (MYC)",2020,"Roadside Origin-Destination surveys (October 2019)",null,"unpublished"]
["Asia","Sri Lanka","Kurunegala","Passenger car","Passenger Van",1.7,null,"Sustainable Urban Mobility Plan (SUMP) for Kurunegala - Diagnosis Report (MYC)",2020,"Roadside Origin-Destination surveys (October 2019)",null,"unpublished"]
["Africa","Ghana","Kumasi","Minibus","Trotro: Minivan/Minibus with 10-15 passenger capacity",9.25,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"BRT study survey by ROM Transportation Engineering LTD (2020)",null,"unpublished"]
["Africa","Ghana","Kumasi","Passenger Car",null,1.5,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"Household mobility survey by Ingérop (2022)",null,"unpublished"]
["Africa","Ghana","Kumasi","Individual taxi",null,1.5,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"Household mobility survey by Ingérop (2022)",null,"unpublished"]
["Africa","Ghana","Kumasi","Other vehicle type","Shared taxi",3,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"unknown",null,"unpublished"]
["Africa","Ghana","Kumasi","3W","Pragia",1.5,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"Household mobility survey by Ingérop (2022)",null,"unpublished"]
["Africa","Ghana","Kumasi","Motorcycle",null,1.2,null,"Sustainable Urban Mobility Plan for the Expanded Kumasi - Diagnosis Report (MYC)",2023,"Household mobility survey by Ingérop (2022)",null,"unpublished"]
["Africa","Ethiopia","Dire Dawa","3W","Bajaj",5,null,"Elaboration of Dire Dawa Sustainable Urban Mobility Plan - Urban mobility diagnosis (AFD)",2020,"Household survey by SYSTRA (2020)",null,"unpublished"]
["Americas","Ecuador","Ambato","Passenger Car",null,1.6,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Individual taxi",null,0.5,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"MDL (2020)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Motorcycle",null,2.2000000000000002,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Minibus",null,11,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Ecuador","Ambato","Bus",null,16,null,"Protocolo para el uso de la calculadora de emisiones GEI de MYC para el SUMP de Ambato (Euroclima+)",2021,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Passenger car",null,1.6,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Individual taxi",null,2.1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Motorcycle",null,1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Bus",null,16.600000000000001,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Passenger car",null,1.6,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Individual taxi",null,2.1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Motorcycle",null,1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Bus",null,16.600000000000001,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Passenger car",null,1.6,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Individual taxi",null,2.1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Motorcycle",null,1,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","Bus",null,16,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Uruguay","Montevideo","LCV",null,null,1,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Uruguay (Euroclima+)",2022,"unknown","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Asia","Bandgladesh","Dhaka city","Passenger car",null,1.5,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Efroymson & Bari (2005)",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Bus",null,52,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Efroymson & Bari (2005)",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","3W","Auto-rickshaw",2.2000000000000002,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Efroymson & Bari (2005)",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Motorcycle",null,1,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Efroymson & Bari (2005)",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Microbus",null,6.5,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Dhaka Urban Transport Network Development Study (DHUTS) in 2009",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Passenger car","Jeep",4.5,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Dhaka Urban Transport Network Development Study (DHUTS) in 2009",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Individual taxi",null,2.2000000000000002,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Efroymson & Bari (2005)",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
["Asia","Bandgladesh","Dhaka city","Other vehicle type","Leguna/Human Hauler",10.1,null,"Green Transport Planning for Dhaka City: Measures for Environment Friendly Transportation System",2014,"Dhaka Urban Transport Network Development Study (DHUTS) in 2009",null,"https://www.researchgate.net/publication/321962434_Green_Transport_Planning_For_Dhaka_City_Measures_for_Environment_Friendly_Transportation_System"]
[]
[]
[]
[]
["implausible values (hidden) - to be checked by the MYC secreteriat"]
[]
["Americas","Chile","Antofagasta","Minibus",null,16.600000000000001,null,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","LCV",null,null,40,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Solo truck",null,null,40,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","Antofagasta","Articulated truck",null,null,40,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para Antofagasta (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Articulated truck",null,null,40,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]
["Americas","Chile","-","Freight train",null,null,40,"Protocolo de uso de la Calculadora de Emisiones de GEI de MobiliseYourCity para el NUMP de Chile (Euroclima+)",2022,"SECTRA-MODEM model (2018)","MobiliseYourCity Emissions Calculator report ","unpublished"]

{"sheet":"9 Sources and abbreviations","index":15,"n_rows":46,"n_cols":3,"rows_kept":46,"cut":false,"hidden":false,"merged":[]}
[]
[null,{"$f":"Source","v":"Source:"},{"$f":"Description","v":"Description"}]
[null,"EMAP EEA 2017","EMEP/EEA air pollutant emission inventory guidebook 2016\n"]
[null,"IPCC 1996","IPCC (1996): Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories"]
[null,"IPCC 2006","IPCC  (2006): CHAPTER 3. MOBILE COMBUSTION, p. 64"]
[null,"KBA, 2017","Motor vehicle registration statistiks in Germany, Kraftfahrt-Bundesamt"]
[null,"ifeu, 2015","Zukünftige Maßnahmen zur Kraftstoffeinsparung von schweren Nutzfahrzeugen"]
[null,"ifeu, 2016","Data and computing model: pollutant emissions from motorised traffic in Germany between 1960 and 2035"]
[null,"UBA, 2018","Germany, GHG Inventory EU 15-01-2018"]
[null,"VIZ, 2017","Transport in numbers 2017/2018 (Verkehr in Zahlen 2017/2018); by the German Ministry of Transport and Digital Infrastructure"]
[null,"EN 16258","Methodology for calculation and declaration of energy consumption and GHG emissions of transport services (freight and passengers). European Norm 2013"]
[null,"BAFU, 2015","INFRAS (2015): Energieverbrauch und Schadstoffemissionen des Non-road-Sektors. Studie für die Jahre 1980-2050. Im Auftrag des Bundesamtes für Umwelt (BAFU). Umwelt-Wissen Nr. 1519: 237 S. Bern, 2015."]
[]
[null,{"$f":"abbreviation","v":"Abbreviation"},{"$f":"Description","v":"Description"}]
[null,"BAU",{"$f":"BAU","v":"Business-as-usual"}]
[null,{"$f":"NG","v":"CNG"},{"$f":"NG","v":"CNG"}]
[null,{"$f":"abbr3","v":"GDP"},{"$f":"GDP","v":"Gross domestic product (GDP)"}]
[null,{"$f":"abbr4","v":"GHG"},{"$f":"abbr14","v":"Greenhousg gas"}]
[null,{"$f":"abbr5","v":"IPCC"},{"$f":"ExplIPCC","v":"Intergovernmental panel on Climate Change = Group of intergovernmental Experts on climate change"}]
[null,{"$f":"abbr6","v":"KPI"},{"$f":"abbr2","v":"ICP"}]
[null,{"$f":"LHVabbr","v":"LHV"},{"$f":"LHV","v":"Lower heating value"}]
[null,{"$f":"LPG","v":"LPG"},{"$f":"LiquPG","v":"Liquefied Petroleum Gases "}]
[null,{"$f":"PT","v":"PT"},{"$f":"publictrans","v":"Public transport"}]
[null,"TTW",{"$f":"ExplTTW","v":"Tank to wheel: emissions from tank to wheel"}]
[null,"VKT",{"$f":"vkt","v":"vehicle kilometers"}]
[null,"WTW",{"$f":"ExplWTW","v":"Well to wheel: emissions from well to wheel"}]
[]
[null,{"$f":"Vehcategory","v":"Vehicle category"},{"$f":"Description","v":"Description"}]
[null,{"$f":"NMT","v":"NMT"},{"$f":"Expl21","v":"NMT = Non Motorised Transport, includes walking and bicycling, small-wheeled transport (e.g.skateboards, e-scooters...) "}]
[null,{"$f":"Pcar","v":"Passenger car"},{"$f":"ExplPcars","v":"Any motor vehicle intended for passenger transport, the seat capacity does not exceed nine seats (including driver), the total permissible gross weight does not exceed 3,5t."}]
[null,{"$f":"Itaxi","v":"Individual taxi"},{"$f":"ExplAcarsTaxi","v":"Cars which transport passengers in return for payment of a fare and which are typically fitted with a taximeter."}]
[null,{"$f":"Motorcycle","v":"Motorcycle"},{"$f":"ExplMotorcycle","v":"A two-wheeled vehicle with an engine."}]
[null,{"$f":"Mototaxi","v":"Motorcycle taxi"},{"$f":"ExplMotoTaxi","v":"Motorcycles which transport passengers in return for payment of a fare (e.g. Go-jek, Grab)."}]
[null,{"$f":"Minibus","v":"Minibus"},{"$f":"ExplMinibus","v":"Any motor vehicle intended for the collective transport of persons whose number of seats is less than nine, including hirings, collective taxis and rural transportation."}]
[null,{"$f":"Bus","v":"Bus"},{"$f":"ExplBus","v":"Any motor vehicle intended for the collective transport of persons, the number of seats of which is greater than nine or the permissible total weight exceeds 3.5t."}]
[null,{"$f":"BRT","v":"BRT"},{"$f":"ExplBRT","v":"Bus Rapid Transit (BRT) is a high-quality bus-based transit system. It is typically specified with dedicated lanes, iconic stations, off-board fare collection, and fast and frequent operations."}]
[null,{"$f":"Train","v":"Long distance train"},{"$f":"ExplPtrain","v":"Passenger train mainly traveling outside the city - long distance train."}]
[null,{"$f":"Utrain","v":"Urban train"},{"$f":"ExplUtrain","v":"Passenger train mainly traveling within the city territory - short distance train."}]
[null,{"$f":"Metro","v":"Metro"},{"$f":"ExplMetro","v":"Passenger train mainly traveling within the city territory - Tram and Metro."}]
[null,{"$f":"VLCV","v":"Very light commercial vehicle"},{"$f":"ExpllightLCV","v":"A mostly three-wheeled motorized vehicle used for goods transport."}]
[null,{"$f":"LCV","v":"Light commercial vehicle"},{"$f":"ExplLCV","v":"Motor vehicle intended for the transport of freight, the permissible gross weight does not exceed 3.5t."}]
[null,{"$f":"Solo","v":"Solo truck"},{"$f":"ExplSolo","v":"Motor vehicle intended for the transport of freight, the permissible load is up to 10t."}]
[null,{"$f":"Atruck","v":"Articulated truck"},{"$f":"ExplHtruck","v":"Motor vehicle intended for the transport of freight and the total authorized load exceeds 10t tonnes. Trucks consist of trucks and tractors (truck with trailer)."}]
[null,"Cargo bike","is bike designed and constructed specifically for transporting loads"]
[null,{"$f":"Ftrain","v":"Freight train"},{"$f":"ExplFtrain","v":"Any freight train, usually for long distance transport."}]
[null,"Coach",{"$f":"Descri93","v":"A coach (or motorcoach) is a bus used for longer-distance service. Often used for touring, intercity, and international bus service, coaches are also used for private charter for various purposes."}]

{"sheet":"Referencing","index":16,"n_rows":548,"n_cols":9,"rows_kept":548,"cut":false,"hidden":false,"merged":[]}
[null,"Language selection","DO NOT SUPPRESS A LINE BUT THE EMPTY LINES AN BE USED FOR NEW TRANSLATION"]
[null,{"$f":"'Get started'!C9","v":"English"}]
[null,{"$f":"MATCH(B2,C5:E5,0)","v":1}]
[]
["Name of the cell","Variable shown","English","Francais","Espanol"]
[{"$f":"C6","v":"Car"},{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Car"},"Car","Voiture (incl Louage)","Automóvil, Auto, Carro"]
[{"$f":"C7","v":"PT"},{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"PT"},"PT","TCP","TP"]
[]
[{"$f":"C9","v":"Motorcycle"},{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Motorcycle"},"Motorcycle","Motocyclette","Motocicleta"]
["Train","Long distance train","Long distance train","Train longue distance","Tren de larga distancia"]
["Utrain","Urban train","Urban train","Train RER","Tren urbano"]
["Metro","Metro","Metro","Métro","Metro"]
["Ftrain","Freight train","Freight train","Train de marchandise","Tren de carga"]
["NMT","NMT","NMT","TNM","Modo No Motorizado (MNM)"]
["Pcar","Passenger car","Passenger car","Voiture particulière","Auto privado"]
["Mcar","Mixed car","Mixed car","Voiture Mixte","Auto de uso mixto"]
["Itaxi","Individual taxi","Individual taxi","Taxi individuel","Taxi individual"]
["Acar","Administrative car","Administrative car","Voiture administrative","Auto administrativo"]
["Minibus","Minibus","Minibus","Minibus","Minibús"]
["Bus","Bus","Bus","Bus","Bus"]
["LCV","Light commercial vehicle","Light commercial vehicle","Camionnette","VCL"]
["Solo","Solo truck","Solo truck","Camion","Camión"]
["Atruck","Articulated truck","Articulated truck","Tracteur routier","Camión articulado"]
["all","all","all","tous","Todo (singular) - Todos/Todas (plural)"]
["Category","Category","Category","Catégorie","Categoría"]
["Subcategory","Subcategory","Subcategory","Sous-Catégorie","Subcategoría"]
["Pmileage","% of the vkt","% of the vkt","% du vkt","% del kilometraje"]
["local ","Local data","Local data","Données locales","Local"]
["default","Default values","Default values","Valeurs défaut","Predeterminado, predeterminada "]
["vktfleet","Average annual mileage per vehicle [km/vehicle/year]","Average annual mileage per vehicle [km/vehicle/year]","Vkt annuel moyen par véhicule [km/véhicule/an]","Promedio anual de kilometraje por vehículo [km/vehículo/año]"]
["Vehiclestock","Vehicle stock [total number of vehicles]","Vehicle stock [total number of vehicles]","Stock de véhicules [nombre total de véhicules]","Stock de vehículos [número total de vehículos]"]
["Tmileage","Total vkt per vehicle category [Mio. km/year]","Total vkt per vehicle category [Mio. km/year]","Vkt totaux parcourus par catégorie de véhicule [Mill. km/year]","Kilometraje total por categoría de vehículo (Mio.de km/ año)"]
["Growthmileage","Annual growth of vkt per period  [%]","Annual growth of vkt per period  [%]","Croissance annuelle du véhicule-kilomètre parcouru par période  [%]","Crecimiento anual del kilometraje por periodo "]
["Population","Population","Population","Population","Población"]
["GrowthBAU","Annual growth BAU per period ","Annual growth BAU per period ","Croissance annuelle BAU par période","Anual crecimiento del BAU por periodo"]
["Descri12","2) Socio-economic data ","2) Socio-economic data ","2) Données socio économiques","2) Información socio-económica"]
["Descri13","Description: Please enter the population and the gross domestic product (GDP) of your country/city for the reference year in the table below. For BAU scenario calculations please also enter corresponding annual growth rates.\nRemark: Data input for the population in the reference year is mandatory, data input for the GDP is optional - applied for key performance indicators (KPIs) in the sheet \"4 Overview of Results\".","Description: Please enter the population and the gross domestic product (GDP) of your country/city for the reference year in the table below. For BAU scenario calculations please also enter corresponding annual growth rates.\nRemark: Data input for the population in the reference year is mandatory, data input for the GDP is optional - applied for key performance indicators (KPIs) in the sheet \"4 Overview of Results\".","Description: Veuillez entrer la population et le produit intérieur brut (PIB) de votre pays / ville pour l'année de référence dans le tableau ci-dessous. Pour les calculs du scénario BAU (facultatif), veuillez également saisir les taux de croissance annuels correspondants.\nRemarque: La saisie des données pour la population au cours de l'année de référence est obligatoire, la saisie des données pour le PIB est facultative - appliquée pour les indicateurs clés de performance (KPI) dans la feuille \"4 Overview of results\"","Descripción: Sírvase indicar en el cuadro siguiente la población y el producto interno bruto (PIB) de su país/ciudad para el año de referencia. Para los cálculos del escenario BAU, por favor, introduzca también las tasas de crecimiento anual correspondientes.\nObservación: La entrada de datos para la población en el año de referencia es obligatoria, la entrada de datos para el PIB es opcional - se aplica para los indicadores clave de rendimiento (KPI) en la hoja \"\"4 Resumen de resultados\"\"."]
["Descri14","3) Vehicle kilometers travelled (vkt)","3) Vehicle kilometers travelled (vkt)","3) Véhicule-kilomètre parcourus (vkt)","3) kilómetros recorridos por el vehículo (vkt)"]
["Descri11 ","Description: Please enter the vehicle kilometers of the base year and the annual growth rate. The user has to choose between the vkt approach or the fleet approach for each vehicle category. It is not possible to use both approaches at the same time. Without this information the calculation of GHG emissions cannot be done.\nRemark 1: The total vkt (mileage approach) or average annual mileage (fleet approach) should comply with the actual transport activity within the city or country territory.\nRemark 2: Definitions and short descriptions of each vehicle category can be found in the sheet \"7 Sources and abbreviation\".","Description: Please enter the vehicle kilometers of the base year and the annual growth rate. The user has to choose between the vkt approach or the fleet approach for each vehicle category. It is not possible to use both approaches at the same time. Without this information the calculation of GHG emissions cannot be done.\nRemark 1: The total vkt (mileage approach) or average annual mileage (fleet approach) should comply with the actual transport activity within the city or country territory.\nRemark 2: Definitions and short descriptions of each vehicle category can be found in the sheet \"7 Sources and abbreviation\".","Description: Veuillez saisir les véhicules-kilomètres de l'année de base et le taux de croissance annuel. L'utilisateur doit choisir entre l'approche vkt ou l'approche flotte pour chaque catégorie de véhicule. Il n'est pas possible d'utiliser les deux approches en même temps. Sans ces informations, le calcul des GES ne peut pas avoir lieu.\nRemarque 1: Le kilométrage total (approche kilométrique) ou le kilométrage annuel moyen (approche flotte) doit être conforme à l'activité de transport réelle sur le territoire de la ville ou du pays.\nRemarque 2: Les définitions et courtes descriptions de chaque catégorie de véhicules se trouvent dans la fiche \"7 Sources et abréviations\"","Description: Introduzca los kilómetros de vehículos del año base y la tasa de crecimiento anual. El usuario debe elegir entre el enfoque vkt o el enfoque de flota para cada categoría de vehículo. No es posible utilizar ambos enfoques al mismo tiempo. Sin esta información, el cálculo del GEI no puede tener luga.\nObservación 1: El vkt total (enfoque del kilometraje) o el kilometraje medio anual (enfoque de la flota) debe ajustarse a la actividad de transporte real dentro de la ciudad o el territorio del país.\nObservación 2: Las definiciones y breves descripciones de cada categoría de vehículos se encuentran en la hoja \"7 Fuentes y abreviaturas\"."]
["Descri15","Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. passenger-kilometers in the table on the right (optional for GHG but recommanded if you need any key performance indicator including person kilometer) as delivered by the transport plannig tool for the reference year. The same data can be entered for the following years taking into account the changes planned in the climate scenario.\nRemark: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\".","Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. passenger-kilometers in the table on the right (optional for GHG but recommanded if you need any key performance indicator including person kilometer) as delivered by the transport plannig tool for the reference year. The same data can be entered for the following years taking into account the changes planned in the climate scenario.\nRemark: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\".","Veuillez saisir les véhicules-kilomètres parcourus en Mio. km dans le tableau de gauche (obligatoire) et les performances de transport en Mio. passagers-kilomètres dans le tableau de droite (optionel pour les GES mais recommandé surtout si des indicateurs de performance sont requis), tels que fournis par l'outil de planification des transports pour l'année de référence. Les mêmes données peuvent être saisies pour les années suivantes en tenant compte des changements prévus dans le scénario climatique.\nRemarque : Les définitions et de brèves descriptions de chaque catégorie de véhicule se trouvent dans la fiche \"9 Sources and abbreviations\".","Introduzca los kilómetros-vehículo recorridos en millones de k) en la tabla de la izquierda (obligatorio) y los resultados del transporte en millones de pasajeros-kilómetro en la tabla de la derecha (opcional para el GEI pero recomendado si no necesita ningún indicador clave de resultados) tal y como los proporciona la herramienta de planificación del transporte para el año de referencia. Se pueden introducir los mismos datos para los años siguientes teniendo en cuenta los cambios previstos en el escenario climático.\nObservación: Las definiciones y breves descripciones de cada categoría de vehículos se encuentran en la ficha \"9 Fuentes y abreviaturas\"."]
["Descri16",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. ton-kilometers in the table on the right optional for GHG but recommanded if you need any key performance indicator including ton kilometer) as delivered by the transport plannig tool for the reference year.\nRemark 1: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\"."},"Please enter the vehicle kilometers travelled in Mio. km in the table on the left (mandatory) and the transport performances in Mio. ton-kilometers in the table on the right optional for GHG but recommanded if you need any key performance indicator including ton kilometer) as delivered by the transport plannig tool for the reference year.\nRemark 1: Definitions and short descriptions of each vehicle category can be found in the sheet \"9 Sources and abbreviations\".","Veuillez indiquer les véhicules-kilomètres parcourus en Mio. km dans le tableau de gauche (obligatoire) et les performances de transport en Mio. tonnes-kilomètres dans le tableau de droite (optionel pour les GES mais recommandé surtout si des indicateurs de performance sont requis), tels que fournis par l'outil de planification des transports pour l'année de référence.\nRemarque 1 : Les définitions et de brèves descriptions de chaque catégorie de véhicule se trouvent dans la fiche \"9 Sources and abbreviations\".","Indique los vehículos-kilómetro recorridos en millones de km en el cuadro de la izquierda (obligatorio) y el rendimiento del transporte en millones de toneladas-kilómetro en el cuadro de la derecha (opcional para los GEI, pero recomendado especialmente si se requieren indicadores de rendimiento), según lo proporcionado por la herramienta de planificación del transporte para el año de referencia.\nNota 1: Las definiciones y breves descripciones de cada categoría de vehículos pueden encontrarse en el \"9 Sources and abbreviations\"."]
["Descri18","Remark 3: Local (national/city) data can be used if available and robust. Otherwise for cities it is recommended to use national data and for countries to use regional specific data. On sheet 8 Occupancy_Load, you can find orientation values for occupancy and load factor.","Remark 3: Local (national/city) data can be used if available and robust. Otherwise for cities it is recommended to use national data and for countries to use regional specific data. On sheet 8 Occupancy_Load, you can find orientation values for occupancy and load factor.","Remarque 3 : Les données locales (nationales/villes) peuvent être utilisées si elles sont disponibles et solides. Dans le cas contraire, il est recommandé d'utiliser les données nationales pour les villes et les données régionales pour les pays. Sur la feuille 8 Occupany_Load, vous trouverez des valeurs d'orientation pour l'occupation et la charge.","Observación 3: Pueden utilizarse datos locales (nacionales/urbanos) si están disponibles y son sólidos. En caso contrario, para las ciudades se recomienda utilizar datos nacionales y para los países, datos específicos regionales. En la hoja 8 Occupancy_Load, puede encontrar valores orientativos para la ocupación y el factor de carga."]
["Descri19"," 4.i) Load, occupancy and average trip length"," 4.i) Load, occupancy and average trip length","4.i) Taux de charge, d'occupation et distance moyenne par trajet","4i) Tasa de carga u ocupación"]
["Descri20","Description: Please enter the occupancy for passenger vehicles (average number of passengers per vehicle) and the load for freight vehicles (average load per vehicle in tons). On the right, please enter for all given vehicles the average trip length of a passenger in the BAU scenario.\nRemark 1: Occupancy/load values are used both for inventory, BAU and climate scenario. The average trip length is only used for the climate scenario.\nRemark 2: Conventionally drivers of public transport (incl. taxi) are not counted as they are not passengers, but for private transport drivers should be included.","Description: Please enter the occupancy for passenger vehicles (average number of passengers per vehicle) and the load for freight vehicles (average load per vehicle in tons). On the right, please enter for all given vehicles the average trip length of a passenger in the BAU scenario.\nRemark 1: Occupancy/load values are used both for inventory, BAU and climate scenario. The average trip length is only used for the climate scenario.\nRemark 2: Conventionally drivers of public transport (incl. taxi) are not counted as they are not passengers, but for private transport drivers should be included.","Description : Veuillez saisir l'occupation pour les véhicules de passagers (nombre moyen de passagers par véhicule) et la charge pour les véhicules de fret (charge moyenne par véhicule en tonnes). A droite, veuillez saisir pour tous les véhicules donnés la longueur moyenne du trajet d'un passager dans le scénario BAU.\nRemarque 1 : Les valeurs d'occupation/charge sont utilisées à la fois pour l'inventaire, le scénario BAU et le scénario climatique. La longueur moyenne du trajet n'est utilisée que pour le scénario climatique.\nRemarque 2 : Par convention, les conducteurs des transports publics (y compris les taxis) ne sont pas inclus car il ne sont pas des passagers, mais pour les transports privés, les conducteurs devraient être inclus.","Descripción: Introduzca la ocupación de los vehículos de pasajeros (número medio de pasajeros por vehículo) y la carga de los vehículos de mercancías (carga media por vehículo en toneladas). En la parte derecha, introduzca para todos los vehículos dados la duración media de un viaje de pasajeros en el escenario BAU.\nNota 1: Los valores de ocupación/carga se utilizan tanto para el inventario como para el escenario BAU y el escenario climático. La duración media del viaje sólo se utiliza para el escenario climático.\nNota 2: Por convención, no se incluyen los conductores de transporte público (incluidos los taxis), ya que no son pasajeros, pero en el caso del transporte privado, sí deben incluirse los conductores."]
["Source","Source:","Source:","Source:","Fuente:"]
["Unit","Unit","Unit","Unité","Unidad"]
["Values","Values","Values","Valeurs","Valor, Valores"]
["Descri21","4.ii) Vehicle kilometers travelled breakdown by fuel type","4.ii) Vehicle kilometers travelled breakdown by fuel type","4.ii) Répartition des véhicules-kilomètres parcourus (vkt) par type de carburant","4.ii) Desglose del kilometraje por tipo de combustible"]
["Descri22","Description: For each vehicle category, please enter the percentage of vehicle kilometers travelled (vkt) per fuel type for the reference year and for future years.","Description: For each vehicle category, please enter the percentage of vehicle kilometers travelled (vkt) per fuel type for the reference year and for future years.","Description: Pour chaque catégorie de véhicule, veuillez saisir le pourcentage de véhicules-kilomètres parcourus (vkt) par type de carburant pour l'année de référence et pour les années futures.","Descripción: Para cada categoría de vehículo, introduzca el porcentaje de vehículos-kilómetro recorridos (vkt) por tipo de combustible para el año de referencia y para años futuros."]
["Descri23","Remark: The sum of shares in each vehicle category has to be 100 %. The share of each fuel type should be coherent between the different years as the replacement of vehicles in previous years obvisouly impacts the following years. The user must ensure that data input are realistic with the fleet composition and evolution.","Remark: The sum of shares in each vehicle category has to be 100 %. The share of each fuel type should be coherent between the different years as the replacement of vehicles in previous years obvisouly impacts the following years. The user must ensure that data input are realistic with the fleet composition and evolution.","Remarque : La somme des parts dans chaque catégorie de véhicules doit être de 100 %. La part de chaque type de carburant doit être cohérente entre les différentes années, car le remplacement des véhicules l'année précédente a manifestement un impact sur les années suivantes. L'utilisateur doit s'assurer que les données saisies sont réalistes par rapport à la composition et à l'évolution de la flotte.\n\nTraduit avec www.DeepL.com/Translator (version gratuite)","Observación: La suma de las cuotas de cada categoría de vehículos debe ser del 100%. La cuota de cada tipo de combustible debe ser coherente entre los distintos años, ya que la sustitución de vehículos en el año anterior repercute obviamente en los años siguientes. El usuario debe asegurarse de que los datos introducidos son realistas en relación con la composición y la evolución de la flota."]
["Fuel","Fuel type","Fuel type","Carburant","Combustible"]
["Mileagecat","Vehicle kilometers travelled (vkt) by category [%]","Vehicle kilometers travelled (vkt) by category [%]","véhicules-kilomètres parcourus (vkt)  par catégorie en %","Kilómetros recorridos por vehículo (vkt) por categoría [%]"]
["nd","n.d.","n.d.","n.d.","Sin fecha (s.f.)"]
["Gasoline","Gasoline","Gasoline","Essence","Gasolina"]
["Diesel","Diesel","Diesel","Diesel","Diésel"]
["LPG","LPG","LPG","GPL","GLP"]
["NG","CNG","CNG","GN","GN"]
["Hybrid","Hybrid","Hybrid","Hybride","Híbrido"]
["Electric","Electric","Electric","Electrique","Eléctrico"]
["Descri24","4.iii) Average energy/fuel consumption for the reference year and energy efficiency change in the BAU scenario","4.iii) Average energy/fuel consumption for the reference year and energy efficiency change in the BAU scenario","4.iii) Consommation moyenne pour l'année de base et évolution de l'efficacité énergétique dans le scénario BAU","4.iii) Consumo promedio por año base y cambio de energía eficiente en escenario BAU"]
["Descri25","Description: Please enter the average fuel/energy consumption - for each vehicle category and per fuel type for the reference year (average fuel/energy consumption per vehicle per 100 km) as well as for each of the following years.\nRemark: On sheet 7 Fuel Consumption, you can find orientation values for fuel/energy consumption.","Description: Please enter the average fuel/energy consumption - for each vehicle category and per fuel type for the reference year (average fuel/energy consumption per vehicle per 100 km) as well as for each of the following years.\nRemark: On sheet 7 Fuel Consumption, you can find orientation values for fuel/energy consumption.","Description: Veuillez saisir la consommation moyenne de carburant / énergie - pour chaque catégorie de véhicule et par type de carburant - pour l'année de référence (consommation moyenne de carburant / énergie par véhicule par 100 km) ainsi que pour les années suivantes.\nRemarque : Sur la feuille 7 Fuel Consumption, vous trouverez des valeurs d'orientation pour la consommation de carburant/d'énergie.","Descripción: Introduzca el consumo medio de combustible/energía -para cada categoría de vehículo y tipo de combustible- para el año de referencia (consumo medio de combustible/energía por vehículo y por 100 km), así como para los años siguientes.\nObservación: En la hoja 7 Fuel Consumption, puede encontrar valores orientativos para el consumo de combustible/energía."]
["Descri90","Remark 3: Conventionally drivers of public transport are not included as they are not passengers (incl. taxi), but for private transport drivers should be included if they travel for their own sake.","Remark 3: Conventionally drivers of public transport are not included as they are not passengers (incl. taxi), but for private transport drivers should be included if they travel for their own sake.","Remarque 3: Les conducteurs des transports publics (y compris les taxis) ne sont généralement pas inclus car ils ne sont pas des passagers, mais pour les transports privés, les conducteurs doivent être inclus.","Observación 3: Los conductores de transporte público (incluidos los taxis) no suelen incluirse, ya que no son pasajeros, pero en el caso del transporte privado, sí deben incluirse."]
["Preduction","Annual reduction in % in the given period","Annual reduction in % in the given period","Réduction annuelle en % sur la période donnée","Reducción anual en % en el periodo dado"]
["Descri27","4.iv) Evolution of the CO2 content from electricity and hydrogen production in both scenarios","4.iv) Evolution of the CO2 content from electricity and hydrogen production in both scenarios","4.iv) Evolution du contenu CO2 de l'électricité et de l'hydrogène POUR LES DEUX SCENARIOS ","4.iv) Evolución del contenido de CO2 de la electricidad y el hidrógeno en ambos escenarios"]
["Descri28","Remark 2: GHG emissions from (battery and fuel cell) electric vehicles are zero when applying a TTW (tank-to-wheel) approach. If the WTW (well-to-wheel) approach is applied the upstream GHG emissions from the production and transport of the electricity/hydrogen are also considered.\nRemark 3: Please note that the unit for the CO2 content of electricity is g CO2/kWh electricity, whereas the unit for the CO2 content of hydrogen is g CO2/kg hydrogen.","Remark 2: GHG emissions from (battery and fuel cell) electric vehicles are zero when applying a TTW (tank-to-wheel) approach. If the WTW (well-to-wheel) approach is applied the upstream GHG emissions from the production and transport of the electricity/hydrogen are also considered.\nRemark 3: Please note that the unit for the CO2 content of electricity is g CO2/kWh electricity, whereas the unit for the CO2 content of hydrogen is g CO2/kg hydrogen.","Remarque 2: les émissions de GES des véhicules électriques (avec batterie ou pil à combustible) sont nulles lors de l'application d'une approche TTW (du réservoir à la roue). Si l'approche WTW (du puits à la roue) est appliquée, les émissions de GES en amont de la production et du transport de l'électricité/de l'hydrogène sont également prises en compte.\nRemarque 3 : Veuillez noter que l'unité pour la teneur en CO2 de l'électricité est g CO2/kWh d'électricité, alors que l'unité pour la teneur en CO2 de l'hydrogène est g CO2/kg d'hydrogène.","Observación 2: Las emisiones de GEI de los vehículos eléctricos (batería y pila de combustible) son nulas cuando se aplica un enfoque TTW (tank-to-wheel). Si se aplica el enfoque WTW (del pozo a la rueda), también se tienen en cuenta las emisiones de GEI previas procedentes de la producción y el transporte de electricidad/hidrógeno.\nObservación 3: Tenga en cuenta que la unidad para el contenido de CO2 de la electricidad es g CO2/kWh electricidad, mientras que la unidad para el contenido de CO2 del hidrógeno es g CO2/kg hidrógeno."]
["Descri29","Description: Please enter the CO2 content of electricity and hydrogen for the reference year and for future years.\nRemark 1: For scenario calculations, it is mandatory to enter the values for future years as well. These values are used for scenario calculations both for the BAU (this sheet) and the climate scenario (sheets 3A and 3B).","Description: Please enter the CO2 content of electricity and hydrogen for the reference year and for future years.\nRemark 1: For scenario calculations, it is mandatory to enter the values for future years as well. These values are used for scenario calculations both for the BAU (this sheet) and the climate scenario (sheets 3A and 3B).","Description: Veuillez saisir la teneur en CO2 de l'électricité et de l'hydrogène pour l'année de référence et pour les années futures.\nRemarque 1: pour les calculs de scénarios, il est également obligatoire de saisir les valeurs des années futures. Ces valeurs sont utilisées pour les calculs de scénarios à la fois pour le BAU ou scénario au fil de l'eau (cette feuille) et le scénario climatique (feuilles 3A et 3B).","Descripción: Introduzca el contenido de CO2 de la electricidad y el hidrógeno para el año de referencia y para los años futuros.\nObservación 1: Para los cálculos de escenarios, es obligatorio introducir también los valores para los años futuros. Estos valores se utilizan para los cálculos de escenarios tanto para el BAU (esta hoja) como para el escenario climático (hojas 3A y 3B)."]
["Inputmix","Input data for the electricity mix","Input data for the electricity mix","Donnée d'entrée pour le mix énergétique","Ingreso de datos para la mezcla electrocidad"]
["Growth","Annual growth rate [%]","Annual growth rate [%]","Taux de croissance annuelle [%]","Tasa de crecimiento anual"]
["Pass","Passengers","Passengers","Passagers","Pasajero, Pasajeros"]
["ton","load: tons/vehicle","load: tons/vehicle","charge: tonnes/véhicule ","carga: toneladas/vehículo"]
["national","national","national","national","Nacional"]
["avcons","Average energy consumption  [l-kW-kg/100 km]","Average energy consumption  [l-kW-kg/100 km]","Consommation moyenne d'énergie  [l-kW-kg/100 km]","Consumo promedio de energía  [l-kW-kg/100 km]"]
["Ared",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Annual change in % on the given period"},"Annual change in % on the given period","Change annuelle en % sur la période donnée","Reducción anual en % en el periodo dado"]
["Roadelec","Road - Electric","Road - Electric","Route - Electrique","Ruta - Eléctrico"]
["Trainelec","Train - Electric","Train - Electric","Train - Electrique","Tren - Eléctrico"]
["Modalsplit","Modal split [pkm]","Modal split [pkm]","Part modale [pkm]","Reparto modal (pkm)"]
["Total","Sum","Sum","Somme","Suma"]
["calculatedefault","To calculate national default values","To calculate national default values","Pour calcul des valeurs défaut nationales","Para el cálculo de valores nacional predeterminados"]
["Descri30","1) Avoid: Avoided vehicle kilometers travelled (vkt)","1) Avoid: Avoided vehicle kilometers travelled (vkt)","1) Eviter: Kilomètres évités pour tous les modes de transport","1) Evitar: Kilómetros evitados por vehículo  (vkt)"]
["Descri31","Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compaed to the same year in the BAU.\nExample of measure: Parking space reduction\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 15% avoided vkt of passenger cars, 4% avoided vkt of buses, 78% avoided vkt of coaches and 2% avoided vkt of long distance trains compared to 2019 (source: ifeu). Planned climate measure are likely to have a  lower impact, especially for passenger transport by road. ","Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compaed to the same year in the BAU.\nExample of measure: Parking space reduction\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 15% avoided vkt of passenger cars, 4% avoided vkt of buses, 78% avoided vkt of coaches and 2% avoided vkt of long distance trains compared to 2019 (source: ifeu). Planned climate measure are likely to have a  lower impact, especially for passenger transport by road. ","Veuillez indiquer le pourcentage de véhicules-kilomètres parcourus (vkt) qui seront évités grâce aux mesures d'atténuation prévues par rapport à la même année dans le scenario BAU.\nExemple de mesure : Réduction des places de parking\nRemarque 1 : \"Éviter\" signifie que le déplacement n'a pas lieu du tout. Si le déplacement est simplement remplacé par un déplacement avec un autre mode de transport, il faut l'indiquer dans la section 2) Transférer.\nRemarque 2 : Ne saisissez l'effet que pour la première année où il se produit. L'outil le prend en compte automatiquement pour les années suivantes.\nRemarque 3 : veuillez noter que le pourcentage de vkt évité ne doit pas dépasser une valeur de 30 %. À titre de comparaison, des mesures strictes pendant le blocage de Covid en Allemagne en 2020 ont permis d'éviter 15 % de vkt de voitures particulières, 4 % de vkt de bus, 78 % de vkt de autocar et 2 % de vkt de trains longue distance par rapport à 2019 (source : ifeu). Les mesures climatiques prévues devraient avoir un impact plus faible, en particulier pour le transport routier de passagers. ","Por favor, introduzca el porcentaje de vehículos-kilómetro recorridos (vkt) que se evitarán con las medidas de mitigación previstas en comparación con el mismo año en el BAU.\nEjemplo de medida: Reducción de plazas de aparcamiento\nObservación 1: \"Evitar\" significa que el viaje no se realiza en absoluto. Si el viaje sólo se sustituye por un viaje con un modo de transporte diferente, debe introducirse en la sección 2) Desplazamiento.\nObservación 2: Introduzca el efecto sólo para el primer año en que se produzca. La herramienta lo tiene en cuenta automáticamente para los años siguientes.\nObservación 3: Tenga en cuenta que el porcentaje de vkt evitados no debe superar un valor del 30%. A título comparativo, las estrictas medidas adoptadas durante el cierre de Covid en Alemania en 2020 permitieron evitar un 15 % de vkt de autos privados, un 4 % de vkt de buses, un 78 % de vkt de autocares y un 2 % de vkt de trenes de larga distancia en comparación con 2019 (fuente: ifeu). Es probable que las medidas climáticas previstas tengan un impacto menor, especialmente para el transporte de pasajeros por carretera. "]
[null,0]
["vktbase","Base vkt [Mio. km]","Base vkt [Mio. km]","Kilométrage de base [Mill. km]","Kilometraje recorrido de base vkt [Mill. km]"]
["avoidedvkt","Avoided motorised vkt [%]","Avoided motorised vkt [%]","Vkt motorisés évités [%]","Evitar vkt motorizados [%]"]
["scenariovkt","Scenario vkt [Mio. km]","Scenario vkt [Mio. km]","Vkt scénario [Mill. km]","Escenario vkt [Mill. Km]"]
["Inducedtraffic","Induced traffic","Induced traffic","Traffic induit","Tráfico inducido"]
["Descri36","2) Shift: Shift of transport from the current to public transport modes","2) Shift: Shift of transport from the current to public transport modes","2) Transférer: transfert vers des modes de transports durables","2) Cambio de transporte tradicionales al transporte público"]
["Description","Description","Description","Description","Descripción"]
["Descri37","The shift module follows a three-steps approach: \n2.1. Give the potential additional vehicle kilometers for the vehicle categories below (public transport) if more vehicle kilometers are expected as a result of the planned measures for the corresponding year.\nExample of measure: Extension of the bus network (e.g. increase in frequency)","The shift module follows a three-steps approach: \n2.1. Give the potential additional vehicle kilometers for the vehicle categories below (public transport) if more vehicle kilometers are expected as a result of the planned measures for the corresponding year.\nExample of measure: Extension of the bus network (e.g. increase in frequency)","Le module transférer suit une approche en trois étapes : \n2.1. Indiquez les véhicules-kilomètres supplémentaires potentiels pour les catégories de véhicules ci-dessous (transports publics) si l'on s'attend à une augmentation des véhicules-kilomètres suite aux mesures prévues pour l'année correspondante.\nExemple de mesure : Extension du réseau de bus (par ex. augmentation de la fréquence)","El módulo de cambio de transporte sigue un planteamiento en tres fases: \n2.1. Indique los kilómetros-vehículo adicionales potenciales para las categorías de vehículos indicadas a continuación (transporte público) si se espera un mayor número de kilómetros-vehículo como resultado de las medidas previstas para el año correspondiente.\nEjemplo de medida: Ampliación de la red de autobuses (por ejemplo, aumento de la frecuencia)"]
["Descri38","2.2. Please adjust the occupancy rate if the number of passenger per vehicle is expected to be impacted by the planned measures for the corresponding year.\nExample: Decreasing the train ticket price would increase the number of passengers per train.","2.2. Please adjust the occupancy rate if the number of passenger per vehicle is expected to be impacted by the planned measures for the corresponding year.\nExample: Decreasing the train ticket price would increase the number of passengers per train.","2.2. Veuillez ajuster le taux d'occupation si le nombre de passagers par véhicule devrait être affecté par les mesures prévues pour l'année correspondante.\nExemple : La diminution du prix du billet de train augmenterait le nombre de passagers par train.","2.2. Ajuste el índice de ocupación si se prevé que el número de pasajeros por vehículo se verá afectado por las medidas previstas para el año correspondiente.\nEjemplo: La disminución del precio del billete de tren aumentaría el número de pasajeros por tren.\n "]
["Transfer","Transfer [%]","Transfer [%]","Transférer [%]","Transferencia [%]"]
["Descri40","2.3. If one of the two parameters (vehicle kilometer or occupancy) is impacted it is mandatory to specify the transport mode that is the source of these new trips in the table \"Origin mode of transportation of new PT passengers\" for the corresponding year and for each \"goal transport mode\".\nExample: The goal transport modes categories are buses and train. Concerning the extensions of the train planned for 2020 the new users are expected to be for 50% of them previous bus users, 25% car users and 25% motorcycle users. And the users of a new bus line opening in 2025 are expected to be for 50% of them previous car users, 30% NMT users and 20% of trips will be induced.\nRemark 1: Do not forget to also enter on sheet 2A the average trip length of vehicle types that occur only in the climate scenario.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.","2.3. If one of the two parameters (vehicle kilometer or occupancy) is impacted it is mandatory to specify the transport mode that is the source of these new trips in the table \"Origin mode of transportation of new PT passengers\" for the corresponding year and for each \"goal transport mode\".\nExample: The goal transport modes categories are buses and train. Concerning the extensions of the train planned for 2020 the new users are expected to be for 50% of them previous bus users, 25% car users and 25% motorcycle users. And the users of a new bus line opening in 2025 are expected to be for 50% of them previous car users, 30% NMT users and 20% of trips will be induced.\nRemark 1: Do not forget to also enter on sheet 2A the average trip length of vehicle types that occur only in the climate scenario.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.","2.3. Si l'un des deux paramètres (véhicule-kilomètre ou occupation) est impacté, il est obligatoire de préciser le mode de transport à l'origine de ces nouveaux déplacements dans le tableau \"Mode d'origine des nouveaux passagers du TCP\" pour l'année correspondante et pour chaque \"mode de transport final\".\nExemple : Les catégories de modes de transport visées sont les bus et le train. En ce qui concerne les extensions du train prévues pour 2020, les nouveaux utilisateurs devraient être pour 50% d'entre eux d'anciens utilisateurs de bus, 25% des utilisateurs de voitures et 25% des utilisateurs de motos. Et les utilisateurs d'une nouvelle ligne de bus qui ouvrira en 2025 devraient être pour 50% d'entre eux d'anciens utilisateurs de voiture, 30% d'utilisateurs de TNM et 20% de déplacements induits.\nRemarque 1 : N'oubliez pas de saisir également sur la feuille 2A la longueur moyenne des trajets des types de véhicules qui n'apparaissent que dans le scénario climatique.\nRemarque 2 : Ne saisissez l'effet que pour la première année où il se produit. L'outil le prend en compte automatiquement pour les années suivantes.","2.3. Si uno de los dos parámetros (vehículo-kilómetro u ocupación) se ve afectado, es obligatorio especificar el modo de transporte del que proceden estos nuevos viajes o vehículos-kilómetro en la tabla \"Modo de transporte original de los nuevos pasajeros del TCP\" para el año correspondiente y para cada \"modo del transporte final\".\nEjemplo: las categorías de modos de transporte objetivo son los autobuses y el tren. Con respecto a las ampliaciones del tren previstas para 2020, se espera que los nuevos usuarios sean en un 50% usuarios anteriores del autobús, en un 25% usuarios del coche y en un 25% usuarios de la motocicleta. Y los usuarios de una nueva línea de autobús que se abrirá en 2025 se espera que sean para el 50% de ellos usuarios anteriores del coche, el 30% usuarios de NMT y el 20% de los viajes serán inducidos.\nObservación 1: No olvide introducir también en la hoja 2A la duración media del trayecto de los tipos de vehículos que sólo se dan en el escenario climático.\nObservación 2: Introduzca el efecto sólo para el primer año en que se produzca. La herramienta lo tiene en cuenta automáticamente para los años siguientes."]
["Maxoccup","Maximum occupancy","Maximum occupancy","Taux d'occupation maximum","Tasa ocupación máxima"]
["Occuprate","occupancy [Person/vehicle]","occupancy [Person/vehicle]","Taux d'occupation [Personnes/véhicule]","Tasa de ocupación [Personas/vehículo]"]
["Transportperf","Transport performance [Mio. pkm]","Transport performance [Mio. pkm]","Performance de transport [Mill. pkm]","Rendimiento de transporte [Mill. Pkm]"]
["Perfaltern","3) Improve: Penetration of alternative energies","3) Improve: Penetration of alternative energies"," 3) Améliorer: Pénétration des énergies alternatives","3) Mejorar: Penetración de las energías alternativas"]
["Descri43","Please give the share of the vehicle kilometers travelled per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, but you have to enter a share of all modes only present in the climate scenario.","Please give the share of the vehicle kilometers travelled per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, but you have to enter a share of all modes only present in the climate scenario.","Veuillez indiquer la part des kilomètres parcourus par les véhicules pour chaque type de carburant et chaque année. La somme pour chaque catégorie de véhicule doit atteindre 100%. S'il n'y a pas de changement par rapport au BAU, vous n'êtes pas obligé de saisir de nouvelles données mais vous devez saisir une part pour tous les modes de transport uniquement présents dans le scénario climatique.","Por favor, indique la proporción de kilómetros recorridos por tipo de combustible para cada categoría de vehículo y año. La suma para cada categoría de vehículo debe alcanzar el 100%. Si no hay cambios en comparación con la BAU, no tiene que introducir nuevas participaciones pero debe introducir una cuota para todos los modos de transporte presentes sólo en el escenario climático."]
["Descri44","Example of measure: A funding project leading to the renewal of the car fleet increases the number of kilometers travelled by alternative fuel vehicles.","Example of measure: A funding project leading to the renewal of the car fleet increases the number of kilometers travelled by alternative fuel vehicles.","Exemple de mesure: Un projet de financement conduisant au renouvellement du parc de véhicules particulières augmente le nombre de kilomètres parcourus par des véhicules à carburant alternatif.","Ejemplo de medida: Un proyecto de financiación que conduce a la renovación de la flota de camiones y aumenta entonces el número de kilómetros recorridos por los vehículos de combustible alternativo"]
["MileageshareBAU","Vkt share by fuel in the BAU scenario [%]","Vkt share by fuel in the BAU scenario [%]","Part du vkt par carburant scénario dans le BAU [%]","Cuota de kilómetros recorridos por vehículo (Vkt) según el combustible para el escenario BAU [%]"]
["Mileageshareclimate","Vkt share by fuel for Climate scenario [%]","Vkt share by fuel for Climate scenario [%]","Part du vkt par carburant scénario climat [%]","Cuota de kilómetros recorridos por vehículo (Vkt) según el combustible para el escenario climático [%]"]
["Improvefuelcons","4) Improve: Adjustment of fuel/energy consumption","4) Improve: Adjustment of fuel/energy consumption","4) Améliorer: Ajustement de la consommation de carburant/energie","4) Mejorar: Ajuste del consumo de combustible/energía"]
["Descri45","Please adjust the specific fuel consumption (please pay attention to the units) for each vehicle category and date. DO NOT FORGET TO ALSO GIVE FUEL CONSUMPTIONS for the vehicles you DID NOT HAVE in the Inventory or BAU. If there is no change compared to the BAU, you do not have to enter new values.","Please adjust the specific fuel consumption (please pay attention to the units) for each vehicle category and date. DO NOT FORGET TO ALSO GIVE FUEL CONSUMPTIONS for the vehicles you DID NOT HAVE in the Inventory or BAU. If there is no change compared to the BAU, you do not have to enter new values.","Ajuster la consommation spécifique de carburant (attention aux unités) pour chaque période et chaque catégorie de véhicule. N'OUBLIEZ PAS DE DONNER ÉGALEMENT DES CONSOMMATIONS DE CARBURANT pour les véhicules que vous n'aviez PAS DANS L'INVENTAIRE ou le BAU. S'il n'y a pas de changement par rapport au BAU, vous ne devez pas entrer de nouvelles valeurs.\n\n","Por favor, ajuste el consumo de combustible específico (por favor, preste atención a las unidades) para cada categoría de vehículo y fecha. NO OLVIDES TAMBIÉN DAR CONSUMOS DE COMBUSTIBLE para los vehículos que NO TENÍAS en el inventario o el BAU. Si no hay cambios en comparación con el BAU, no es necesario introducir nuevos valores."]
["Descri46","Example: Speed limit of 30 km/h in cities or/and 100 km/h on national highways lead to a lower specific fuel/energy consumption.","Example: Speed limit of 30 km/h in cities or/and 100 km/h on national highways lead to a lower specific fuel/energy consumption.","Exemple: La limitation de vitesse de 30 km/h dans les villes ou 100 km/h sur les routes nationales entraîne une consommation spécifique de carburant/énergie plus faible.","Ejemplo: Un límite de velocidad de 30 km/h en las ciudades o/y 100 km/h en las autopistas nacionales conduce a un menor consumo específico de combustible/energía."]
["FuelconsBAU","Specific fuel/energy consumption in the BAU scenario ","Specific fuel/energy consumption in the BAU scenario ","Consommation moyenne de carburant des véhicules dans le scénario BAU","Consumo específico de combustible/energía para el escenario BAU "]
["Fuelconsclimate","Specific fuel/energy consumption in the climate scenario ","Specific fuel/energy consumption in the climate scenario ","Consommation moyenne de carburant des véhicules dans le scénario Climat ","Consumo específico de combustible/energía para el escenario climático "]
["Totalfuelconsclim",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"TOTAL energy consumption of vehicles climate scenario [TJ]"},"TOTAL energy consumption of vehicles climate scenario [TJ]","Consommation TOTALE des véhicules Scénario Climat [TJ]","Consumo total de energía de los vehículos escenario climático [TJ]"]
["Descri47","1) Avoid: reduce travel distances","1) Avoid: reduce travel distances","1) Eviter: réduire les distances de voyage ","1) Evitar: reducir las distancias de viaje"]
["Descri48","Define the percentage of vehicle-kilometers travelled (vkt) that can be avoided by reducing trip length or avoiding trips thanks to the measures, without altering the load of trucks.","Define the percentage of vehicle-kilometers travelled (vkt) that can be avoided by reducing trip length or avoiding trips thanks to the measures, without altering the load of trucks.","Définir le pourcentage de véhicule-kilomètre (vkt) évitable grâce aux mesure visant à réduire la longueur ou le nombre des trajets effectués par les véhicules sans changer la charge des camions.","Definir el porcentaje de kilómetros recorridos por vehículo (vkt) que puede evitarse reduciendo la duración del viaje o evitando los viajes gracias a las medidas, sin alterar la carga de los camiones."]
["Descri49","Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compared to the same year in the BAU.\nExample: Improvement of logistic routes reduces vehicle kilometers\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 5% avoided vkt of light commercial vehicles, 2% avoided vkt of heavy commercial vehicles (solo & articulated truck) and 12% avoided vkt of freight trains compared to 2019 (source: ifeu). Planned climate measures are likely to have a  lower impact. ","Please enter the percentage of vehicle kilometers travelled (vkt) that will be avoided with the planned mitigation measures compared to the same year in the BAU.\nExample: Improvement of logistic routes reduces vehicle kilometers\nRemark 1: \"Avoid\" means that the trip does not take place at all. If the trip is just replaced by a trip with a different mode of transport, it has to be entered in section 2) Shift.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.\nRemark 3: Please note that the percentage of vkt avoided should not exceed a value of 30%. For comparison, strict measures during the Covid lockdown in Germany in 2020 led to 5% avoided vkt of light commercial vehicles, 2% avoided vkt of heavy commercial vehicles (solo & articulated truck) and 12% avoided vkt of freight trains compared to 2019 (source: ifeu). Planned climate measures are likely to have a  lower impact. ","Veuillez indiquer le pourcentage de véhicules-kilomètres parcourus (vkt) qui sera évité grâce aux mesures d'atténuation prévues par rapport à la même année dans le scenario BAU.\nExemple: l'amélioration du routage des camions d'un circuit logistique diminue le nombre de véhicules kilomètres\nRemarque 1 : \"Éviter\" signifie que le déplacement n'a pas lieu du tout. Si le déplacement est simplement remplacé par un déplacement avec un autre mode de transport, il faut l'indiquer dans la section 2) Transférer.\nRemarque 2 : Ne saisissez l'effet que pour la première année où il se produit. L'outil le prend en compte automatiquement pour les années suivantes.\nRemarque 3: Veuillez noter que le pourcentage de vkt évites ne doit pas dépasser 30%. À titre de comparison, des mesures strictes pendant le blocage de Covid en Allemagne en 2020 ont permis d'éviter 5% des vkt des véhicules utilitaires légers, 2% des vkt des véhicules utilitaires lourds (camion et camion articulé) et 12% des vkt des trains de marchandises par rapport à 2019 (source: ifeu). Les mesures climatiques prévues auront probablement un impact plus faible. ","Por favor, introduzca el porcentaje de vehículos-kilómetro recorridos (vkt) que se evitarán con las medidas de mitigación previstas en comparación con el mismo año en el BAU.\nEjemplo: La mejora de las rutas logísticas reduce los kilómetros de los vehículos\nObservación 1: \"Evitar\" significa que el viaje no se realiza en absoluto. Si el viaje sólo se sustituye por un viaje con un modo de transporte diferente, debe introducirse en la sección 2) Desplazamiento.\nObservación 2: Introduzca el efecto sólo para el primer año en que se produzca. La herramienta lo tiene en cuenta automáticamente para los años siguientes.\nObservación 3: Tenga en cuenta que el porcentaje de vkt evitados no debe superar el 30%. A título comparativo, las estrictas medidas adoptadas durante el cierre de Covid en Alemania en 2020 permitieron evitar un 5 % de vkt de vehículos comerciales ligeros, un 2 % de vkt de vehículos comerciales pesados (camiónes solos y articulados) y un 12 % de vkt de trenes de mercancías en comparación con 2019 (fuente: ifeu). Es probable que las medidas climáticas previstas tengan un impacto menor. "]
["Descri53","Example: A wider or more efficient transport offer throughout the country can increase overall transport demand","Example: A wider or more efficient transport offer throughout the country can increase overall transport demand","Exemple: Une offre de transport plus étendue ou plus effiace sur tout le territoire peut  faire augmenter la demande globale de transport","Ejemplo: Una oferta de transporte más amplia o más eficiente en todo el país puede aumentar la demanda general de transporte"]
["originalmodefreight","Origin mode of  transportation of the tkm transfered  [%]","Origin mode of  transportation of the tkm transfered  [%]","Mode d'origine des tkm transférés ","Modo de transporte original de tkm transferido  [%]"]
["Descri54","2) Shift: Transfer to sustainable transport modes","2) Shift: Transfer to sustainable transport modes","2) Transférer: transfert vers des modes de transports durables","2) Cambiar: Transferencia a modos de transporte sostenibles"]
["Descri55","Define the increase in the vkt of freight rail transport relative to base vkt in percent.","Define the increase in the vkt of freight rail transport relative to base vkt in percent.","Définir l'augmentation du vkt du transport ferroviaire de marchandises par rapport aux vkt de base en pourcent.","Defina el aumento de kilómetros recorridos por vehículo (vkt) del transporte ferroviario de mercancías en relación con el vkt base en porcentaje."]
[null,0]
["Descri58","The Shift measures follow a three-steps approach: \n2.1. Give the potential additional vehicle kilometers  for the vehicle categories below if more vehicle kilometers are expected as a result of the planned measures for the corresponding year. \nExample: Expansion of railway networks or extension of service (increase in the frequency of freight trains for example) increase the number of vehicle kilometers\n","The Shift measures follow a three-steps approach: \n2.1. Give the potential additional vehicle kilometers  for the vehicle categories below if more vehicle kilometers are expected as a result of the planned measures for the corresponding year. \nExample: Expansion of railway networks or extension of service (increase in the frequency of freight trains for example) increase the number of vehicle kilometers\n","Les mesures de transfert suivent une approche en trois étapes: \n2.1. Indiquer le potentiel de kilomètres-véhicules supplémentaires parcourus pour chaque catégorie de véhicules ci-dessous si davantage de véhicules-kilomètres sont attendus à la suite des mesures prévues pour l'année correspondante.\nExemple: Expansion des réseaux ferroviaires ou extension du service (augmentation de la fréquence des trains de marchandise par exemple) augmente le nombre de véhicule kilomètres","Las medidas de desplazamiento siguen un enfoque de tres pasos: \n2.1. Dar los posibles kilómetros adicionales de vehículos para las categorías de vehículos siguientes si se esperan más kilómetros de vehículos como resultado de las medidas planificadas para el año correspondiente .\nEjemplo: La ampliación de las redes ferroviarias o la extensión del servicio (aumento de la frecuencia de los trenes de mercancías, por ejemplo) aumentan el número de kilómetros de vehículos\n"]
["Descri50","2.2. Please adjust the load factor if the amount of goods transported per vehicle is expected to be impacted by the planned measures for the corresponding year. \nExample: Higher load of trains planned by the national railway due to a new software optimising the routing of trains.\n ","2.2. Please adjust the load factor if the amount of goods transported per vehicle is expected to be impacted by the planned measures for the corresponding year. \nExample: Higher load of trains planned by the national railway due to a new software optimising the routing of trains.\n ","2.2. Veuillez ajuster le facteur de charge si la quantité de marchandises transportées par véhicule devrait être affectée par les mesures prévues pour l'année correspondante\nExemple: augmentation de la charge de trains prévue par la société nationale de train grâce à un nouveau logiciel optimisant le routage des trains.","2.2. Sírvase ajustar el factor de carga si se prevé que la cantidad de mercancías transportadas por vehículo se verá afectada por las medidas previstas para el año correspondiente\r\nEjemplo: Una mayor carga de trenes planificada por el ferrocarril nacional debido a un nuevo software que optimiza la ruta de los trenes\r.\n "]
["Descri51","2.3. If one of the two parameters (vehicle kilometer or load) are impacted it is mandatory to specify the source transport mode of this new ton-vehicle kilometers in the table \"original mode of the shifted tkm\" for the corresponding year and for each \"goal vehicle category \", i.e. the categories for which kilometers or load have been changed.\nExample: the goal category is train. Based on local expertise around 50% of the ton-kilometer are coming from articulated truck, 40% from solo truck and 10% are induced. These ton-kilometers are then considered as suppressed. \nRemark 1: Please consider that this step is an approximation, as logistical chains are very complex and it is almost impossible without a precise model to give the exact share of ton-kilometer transferred. For a precise modeling, please use the first step with transport planning tool.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.","2.3. If one of the two parameters (vehicle kilometer or load) are impacted it is mandatory to specify the source transport mode of this new ton-vehicle kilometers in the table \"original mode of the shifted tkm\" for the corresponding year and for each \"goal vehicle category \", i.e. the categories for which kilometers or load have been changed.\nExample: the goal category is train. Based on local expertise around 50% of the ton-kilometer are coming from articulated truck, 40% from solo truck and 10% are induced. These ton-kilometers are then considered as suppressed. \nRemark 1: Please consider that this step is an approximation, as logistical chains are very complex and it is almost impossible without a precise model to give the exact share of ton-kilometer transferred. For a precise modeling, please use the first step with transport planning tool.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.","2.3. Si l'un des deux paramètres (véhicule kilomètre ou charge) est impacté, il est obligatoire de spécifier le mode de transport source des nouveaux tonne-véhicule kilomètres dans le tableau \"mode original des tkm transférés\" pour l'année correspondante et pour chaque catégorie de véhicule cible \", c'est-à-dire les catégories pour lesquelles les kilomètres ou la charge ont été modifiés\n\nExemple: la catégorie cible est le train. Sur la base de l'expertise locale, environ 50% des tonnes-kilomètres proviennent de tracteurs routiers, 40% de camions et 10% sont induits. On part alors de l'hypothèse que ces tonnes-kilomètres sont supprimées.  \nRemarque 1 : Veuillez considérer que cette étape est une approximation, car la chaîne logistique est très complexe et cela est presque impossible sans un modèle précis de donner la part exacte de tonnes-kilomètres transférées. Pour une modélisation précise, veuillez utiliser la première étape: \"avec logiciel de planification des transports\"\nRemarque 2 : Ne saisissez l'effet que pour la première année où il se produit. L'outil le prend en compte automatiquement pour les années suivantes.","2.3. Si uno de los dos parámetros (kilómetro o carga del vehículo) se ven afectados, es obligatorio especificar la fuente de esta nueva tonelada/kilómetro en el cuadro \"modo original del tkm desplazado\" para el año correspondiente y para cada \"categoría de vehículo objetivo\",es decir, las categorías para las que se han cambiado los kilómetros o la carga.\nEjemplo: la categoría de objetivo es el entrenamiento. Según la experiencia local, alrededor del 50% de las toneladas-kilómetro provienen de camiones articulados, el 40% de camiones solos y el 10% inducidos. Estas toneladas-kilómetro se consideran entonces como suprimidas. \nObservación 1: Por favor, considere que este paso es una aproximación, ya que la cadena logística es muy compleja y esto es casi imposible sin un modelo preciso para dar la parte exacta de tonelada-kilómetro transferida de un modo a otro. Para un modelado preciso, por favor use el primer paso: con la herramienta de planificación de transporte.\"\nObservación 2: No olvide introducir también en la hoja 2A la tasa de carga de los tipos de vehículos que sólo se dan en el escenario climático.\nObservación 3: Introduzca el efecto sólo para el primer año en que se produzca. La herramienta lo tiene en cuenta automáticamente para los años siguientes.",null,"2.3. If one of the two parameters (vehicle kilometer or occupancy) is impacted it is mandatory to specify the transport mode that is the source of these new trips in the table \"Origin mode of transportation of new PT passengers\" for the corresponding year and for each \"goal transport mode\".\nExample: The goal transport modes categories are buses and train. Concerning the extensions of the train planned for 2020 the new users are expected to be for 50% of them previous bus users, 25% car users and 25% motorcycle users. And the users of a new bus line opening in 2025 are expected to be for 50% of them previous car users, 30% NMT users and 20% of trips will be induced.\nRemark 1: Do not forget to also enter on sheet 2A the occupancy and average trip length of vehicle types that occur only in the climate scenario.\nRemark 2: Only enter the effect for the first year it occurs. The tool automatically takes it into account for subsequent years.","2.3. Si l'un des deux paramètres (véhicule-kilomètre ou occupation) est impacté, il est obligatoire de préciser le mode de transport à l'origine de ces nouveaux déplacements dans le tableau \"Mode d'origine des nouveaux passagers du TCP\" pour l'année correspondante et pour chaque \"mode de transport final\".\nExemple : Les catégories de modes de transport visées sont les bus et le train. En ce qui concerne les extensions du train prévues pour 2020, les nouveaux utilisateurs devraient être pour 50% d'entre eux d'anciens utilisateurs de bus, 25% des utilisateurs de voitures et 25% des utilisateurs de motos. Et les utilisateurs d'une nouvelle ligne de bus qui ouvrira en 2025 devraient être pour 50% d'entre eux d'anciens utilisateurs de voiture, 30% d'utilisateurs de TNM et 20% de déplacements induits.\nRemarque 1 : N'oubliez pas de saisir également sur la feuille 2A l'occupation et la longueur moyenne des trajets des types de véhicules qui n'apparaissent que dans le scénario climatique.\nRemarque 2 : Ne saisissez l'effet que pour la première année où il se produit. L'outil le prend en compte automatiquement pour les années suivantes.","2.3. Si uno de los dos parámetros (vehículo-kilómetro u ocupación) se ve afectado, es obligatorio especificar el modo de transporte del que proceden estos nuevos viajes o vehículos-kilómetro en la tabla \"Modo de transporte original de los nuevos pasajeros del TCP\" para el año correspondiente y para cada \"modo del transporte final\".\nEjemplo: las categorías de modos de transporte objetivo son los autobuses y el tren. Con respecto a las ampliaciones del tren previstas para 2020, se espera que los nuevos usuarios sean en un 50% usuarios anteriores del autobús, en un 25% usuarios del coche y en un 25% usuarios de la motocicleta. Y los usuarios de una nueva línea de autobús que se abrirá en 2025 se espera que sean para el 50% de ellos usuarios anteriores del coche, el 30% usuarios de NMT y el 20% de los viajes serán inducidos.\nObservación 1: No olvide introducir también en la hoja 2A la ocupación y la duración media del trayecto de los tipos de vehículos que sólo se dan en el escenario climático.\nObservación 2: Introduzca el efecto sólo para el primer año en que se produzca. La herramienta lo tiene en cuenta automáticamente para los años siguientes."]
["loadweight","Total permissible load weight ","Total permissible load weight ","Charge utile MAX ","Peso total de carga admisible"]
["Descri61","Please give the share of the vehicle kilometers driven per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, except for new vehicle type within the climate scenario.","Please give the share of the vehicle kilometers driven per fuel type for each vehicle category and year. The sum for each vehicle category has to equal 100%. If there is no change compared to the BAU, you do not have to enter new shares, except for new vehicle type within the climate scenario.","Veuillez indiquer la part des kilomètres parcourus par véhicule par type de carburant pour chaque catégorie de véhicule et chaque année. La somme pour chaque catégorie de véhicule doit être égal à 100%. S'il n'y a pas de changement par rapport au BAU, vous n'êtes pas obligé de saisir de nouvelles données sauf pour les nouveaux types de véhicules dans le cadre du scénario climatique. ","Por favor, indique la proporción de kilómetros recorridos por tipo de combustible para cada categoría de vehículo y año. La suma para cada categoría de vehículo debe alcanzar el 100%. Si no hay cambios en comparación con la BAU, no tiene que introducir nuevas participaciones excepto para el tipo de vehículo nuevo dentro del escenario climático."]
["Descri62","Example: Kilometers of electric cars","Example: Kilometers of electric cars","Example: Part kilométrique des voiture électriques","Ejemplo: Kilómetros de coches eléctricos"]
["Descri63","Example: Prohibition of vehicles which are 20 years old may lead to a lower average fuel consumption.","Example: Prohibition of vehicles which are 20 years old may lead to a lower average fuel consumption.","Exemple: Interdiction des véhicules d'âge supérieur à 20 ans -> suppression des véhicules à haute consommation","Ejemplo: La prohibición de los vehículos de 20 años de antigüedad puede dar lugar a un menor consumo medio de combustible."]
["Base","base","base","base","base"]
["mileageclimatescen","Vkt by fuel climate scenario [Mio. km]","Vkt by fuel climate scenario [Mio. km]","Vkt par carburant scénario climat [Mill. km]","Kilómetros recorridos por vehículo (Vkt) según el escenario climático del combustible [millones de kilómetros]."]
["heavytruck","Heavy truck","Heavy truck","Poids lourd","Camión pesado"]
["loadvehicle","Load per vehicle [Tons/vehicle]","Load per vehicle [Tons/vehicle]","Charge des véhicules [Tonnes/véhicule]","Carga por vehículo [Toneladas/vehículo]"]
["vehiclespec","Vehicle specifications","Vehicle specifications","Spécifications des véhicules","Especificaciones del vehículo"]
["totalkm","Total vkt","Total vkt","Vkt total","Total de kilómetros recorridos por vehículo (vkt)"]
["Secteur","Sector","Sector","Secteur","Sector"]
["Transporttype","Transport type","Transport type","Type de transport","Tipo de transporte"]
["Enfact","Emission and energy factors","Emission and energy factors","Facteurs énergétiques et d'émissions","Factores de emisión y energía"]
[]
["fuelGHG",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Total energy consumption and GHG emissions"},"Total energy consumption and GHG emissions","Consommation totale d'énergie et émissions de GES","Consumo total de energía y emisiones de GEI"]
["totalfuelcons","Total energy consumption","Total energy consumption","Consommation d'energie totale","Consumo total de energía"]
["totalGHG","Total emission CO2e [1000t] ","Total emission CO2e [1000t] ","Emissions totales CO2e [1000t] ","Emisiones totales de CO2 [1000t]"]
["Mpasskm","Million Passenger-km","Million Passenger-km","Million Passager-km","Millones de pasajeros-km"]
["Descri64","BAU scenario per category","BAU scenario per category","Scénario BAU par catégorie","Escenario BAU por categoría"]
["Descri65","Climate scenario by category: 1) Avoid motorised vkt","Climate scenario by category: 1) Avoid motorised vkt","Scénario climat par catégorie: 1) Eviter vkt motorisé","Escenario climático por categoría: 1) Evitar kilómetros recorridos por vehículo (vkt) motorizado"]
["Descri66","Climate scenario by Category: 2) Transfer Expansion of PT and Rail Freight","Climate scenario by Category: 2) Transfer Expansion of PT and Rail Freight","Scénario climat par catégorie: 2) Transférer expension du TCP et du fret ferroviaire","Escenario climático por categoría: 2) Expansión de la transferencia del transporte público y del transporte ferroviario"]
["Descri68","BAU scenario by category and type of fuel","BAU scenario by category and type of fuel","Scénario BAU par catégorie et type de carburant","Escenario BAU por categoría y tipo de ombustible"]
["Descri69","Climate scenario by category and type of fuel: 3) Penetration of alternative energies","Climate scenario by category and type of fuel: 3) Penetration of alternative energies","Scénario climat par catégorie et type de carburant :3) Pénétration des énergies alternatives","Escenario climático por categoría y tipo de combustible: 3) Penetración de energías alternativas"]
["Descri70","Climate scenario by category and type of fuel 4) Improve: adjust the specific fuel consumption of vehicles","Climate scenario by category and type of fuel 4) Improve: adjust the specific fuel consumption of vehicles","Scénario climat par catégorie et type de carburant 4) Améliorer: ajuster la consommation spécifique des véhicules","Escenario climático por categoría y tipo de combustible 4) Mejorar: ajustar el consumo específico de combustible de los vehículos"]
["Road","Road","Road","Route","Ruta"]
["Rail","Rail","Rail","Ferroviaire","Ferrocarril"]
["GEStype","Choose the type of GHG","Choose the type of GHG","Choisir le type de GES","Selecciones el tipo de GEI"]
["TTWWTW","TTW: Tank-to-Wheel (without emissions from energy/fuel production); WTW: Well-to-Wheel (with emissions from energy/fuel production)","TTW: Tank-to-Wheel (without emissions from energy/fuel production); WTW: Well-to-Wheel (with emissions from energy/fuel production)","TTW: du éservoir à la roue (sans les émissions dûes à la production d'énergie/le carburant); WTW: du puis à la roue (avec les émissions dûes à la production d'énergie/le carburant)","TTW: Tanque a rueda (sin emisiones de la producción de energía/combustible); WTW: Pozos a rueda (con emisiones de la producción de energía/combustible)"]
["Description71","1) Type of result and inventory","1) Type of result and inventory","1) Type de résultat et inventaires","Tipo de resultado e inventario"]
["CRF","CRF code IPCC","CRF code IPCC","Code CFR GIEC","CRF code IPCC"]
["IPCCcategories","IPCC categories","IPCC categories","Catégories GIEC","IPCC categories"]
["tGHG","t GHG","t GHG","t GES","t GEI"]
["Roadc","Road - car","Road - car","Route - voiture ","Ruta -coche"]
["Roadlcv","Road - LCV","Road - LCV","Route - camionnette","Ruta - Vehículo comercial ligero"]
["roadtb","Road - truck and busses","Road - truck and busses","Route - camion et bus","Ruta - Camión y buses"]
["roadm","Road - motorcycle","Road - motorcycle","Route - motocyclette","Ruta - Motocicleta"]
["Descri71","2) Results of GHG Emissions from road and rail Transport in the BAU and Climate scenario","2) Results of GHG Emissions from road and rail Transport in the BAU and Climate scenario","2) Résultats des émission de GES de transport Routier et Ferroviaire dans le Scénario BAU et Climat ","2) Resultados de las emisiones de GEI del transporte por Ruta y ferrocarril en el escenario de la UA y el clima"]
["ScenBAU","BAU scenario","BAU scenario","Scénario BAU","Escenario BAU"]
["passBAU","BAU passenger","BAU passenger","BAU passager","Pasajero BAU"]
["freiBAU","BAU freight","BAU freight","BAU marchandise","Carga BAU"]
["Climatescen","Climate scenario","Climate scenario","Scénario Climat","Escenario climático"]
["Passclim","Climate passenger","Climate passenger","Climat passager","Pasajero Clima"]
["freightclim","Climate freight","Climate freight","Climat marchandise","Carga Clima"]
["Descri72","3) Key Performance Indicators (KPI) for monitoring plan","3) Key Performance Indicators (KPI) for monitoring plan","3) Indicateurs Clefs de Performance (KPI) pour le monitoring plan","3) Indicadores clave de rendimiento (KPI) para el plan de monitoreo"]
["Descri73","Indicators","Indicators","Indicateurs","Indicadores"]
["Descri74","Explanation","Explanation","Explication","Explicación"]
["Indic1",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"GHG emissions from transportation per capita and per year"},"GHG emissions from transportation per capita and per year","Émissions de GES des transports par habitant et par an","Emisiones de GEI derivadas del transporte per cápita y por año"]
["Indic2","Change of GHG emissions in the transport sector compared to the BAU scenario","Change of GHG emissions in the transport sector compared to the BAU scenario","Changement des émissions de GES dans le secteur des transports par rapport au scénario BAU","Cambio de las emisiones de GEI en el sector del transporte en comparación con el año de base"]
["Indic3","Number of fatal accidents per 100,000 inhabitants per year","Number of fatal accidents per 100,000 inhabitants per year","Nombre d'accidents mortels par 100 000 habitants par an","Número de accidentes mortales por cada 100.000 habitantes por año"]
["Indic4","Number of people in the service area of ​​public transport","Number of people in the service area of ​​public transport","Nombre de personnes dans la zone de desserte des transports publics","Número de personas en el área de servicio del transporte público"]
["Indic5","Average commercial speed","Average commercial speed","Vitesse commerciale moyenne","Velocidad comercial media"]
["Indic6","Modal share of individual passenger transport in total passenger transport","Modal share of individual passenger transport in total passenger transport","Part modale du transport individuel de passagers dans le transport total de passager","Cuota modal del transporte individual de pasajeros en el transporte de pasajeros en el transporte total de pasajeros"]
["Indic7","Modal share of public passenger transport in total passenger transport","Modal share of public passenger transport in total passenger transport","Part modale du transport public de passagers dans le transport total de passager","Cuota modal del transporte público de pasajeros en el transporte de pasajeros"]
["Indic8","GHG emissions per motorised passenger-kilometer from private passenger transport","GHG emissions per motorised passenger-kilometer from private passenger transport","Émissions de GES par passager-kilomètre motorisé du transport privé de passagers","Emisiones de GEI por pasajero-kilómetro motorizado del transporte privado de pasajeros"]
["Indic9","GHG emissions per passenger-kilometer from public passenger transport","GHG emissions per passenger-kilometer from public passenger transport","Émissions de GES par passager-kilomètre dans les transports publics de passagers","Emisiones de GEI por pasajero-kilómetro del transporte público de pasajeros"]
["Indic10","Share of alternative propulsion systems in motorised passenger transport by road","Share of alternative propulsion systems in motorised passenger transport by road","Part des systèmes de propulsion alternatifs dans le transport motorisé de passagers par route","Porcentaje de sistemas de propulsión alternativos en el transporte motorizado de pasajeros por carretera "]
["Indic11","Share of electric drive system in passenger transport by rail","Share of electric drive system in passenger transport by rail","Part des systèmes de propulsion électrique dans le transport ferroviaire de passagers","Porcentaje de sistemas de propulsión eléctrica en el transporte ferroviario de pasajeros"]
["Indic12","Modal share of road freight transport in total freight transport","Modal share of road freight transport in total freight transport","Part modale du trafic de marchandise routier dans le trafic de fret total","Cuota modal del transporte de mercancías por carretera en el transporte total de mercancías"]
["Indic13","Modal share of rail freight transport in total freight transport","Modal share of rail freight transport in total freight transport","Part modale du trafic de marchandise ferroviaire dans le trafic de fret total","Cuota modal del transporte de mercancías por ferrocarril en el transporte total de mercancías"]
["Indic14","GHG emissions per tonne-kilometer from road freight transport","GHG emissions per tonne-kilometer from road freight transport","Émissions de GES par tonne-kilomètre du transport de marchandises routier ","Emisiones de GEI por tonelada-kilómetro del transporte de mercancías por carretera"]
["Indic15","GHG emissions per tonne-kilometer from rail freight transport","GHG emissions per tonne-kilometer from rail freight transport","Émissions de GES par tonne-kilomètre du transport de marchandises ferroviaire","Emisiones de GEI por tonelada-kilómetro del transporte de mercancías por ferrocarril"]
["Indic16","Share of alternative propulsion systems in road freight transport","Share of alternative propulsion systems in road freight transport","Part des systèmes de propulsion alternatifs dans le trafic routier de marchandises","Porcentaje de sistemas de propulsión alternativos en el transporte de mercancías por carretera"]
["Indic17","Share of electric drive system in rail freight transport","Share of electric drive system in rail freight transport","Part des systèmes de propulsion électrique dans le transport ferroviaire de marchandises","Porcentaje de sistemas de propulsión eléctrica en el transporte de mercancías por ferrocarril"]
["General","General","General","Général","General"]
["Passtrans","Passenger transportation","Passenger transportation","Transport de passager","Transporte de pasajeros"]
["Freighttrans","Freight transportation","Freight transportation","Transport de marchandise","Transporte de mercancías"]
["Expl1","Total GHG emissions in road and rail transport, divided by the number of inhabitants for the reference year","Total GHG emissions in road and rail transport, divided by the number of inhabitants for the reference year","Émissions totales de GES dans les services routiers et ferroviaires divisées par le nombre d'habitants au cours de l'année de référence","Emisiones totales de GEI en el transporte por carretera y ferrocarril, divididas por el número de habitantes para el año de referencia"]
["Expl2","Total GHG emissions of the transport sector (sum of road and rail) subtracted by the emissions of the BAU scenario","Total GHG emissions of the transport sector (sum of road and rail) subtracted by the emissions of the BAU scenario","Émissions totales de GES du secteur des transports (somme de la route et du rail) soustraites à celles du scénario BAU ou \"au fil de l'eau\"","Emisiones totales de GEI del sector del transporte (suma de carretera y ferrocarril) restadas por las emisiones del año de base"]
["Expl3","According to the WHO, fatal accidents are counted up to 30 days after the day of the accident","According to the WHO, fatal accidents are counted up to 30 days after the day of the accident","Selon l'OMS, les accidents mortels sont comptés jusqu'à 30 jours après le jour de l'accident","Según la OMS, los accidentes mortales se cuentan hasta 30 días después del día del accidente"]
["Expl4","Number of people within 500 m of public transit with a headway of minimum 20 minutes at rush hour, or people who have access to ridesharing offers that are comparable in price to public transit","Number of people within 500 m of public transit with a headway of minimum 20 minutes at rush hour, or people who have access to ridesharing offers that are comparable in price to public transit","Nombre de personnes à moins de 500 m des transports en commun, qui passent en heure de pointe au moins toutes les 20 minutes, ou qui ont accès à des offres de covoiturage qui ont un rapport qualité-prix comparable à celui des transports en commun","Número de personas que se encuentran a menos de 500 m del transporte público con un recorrido mínimo de 20 minutos en hora pico, o personas que tienen acceso a ofertas de transporte compartido comparables en precio al transporte público"]
["Expl5","Average speed of a mode of transport between two terminals, including all operational stops","Average speed of a mode of transport between two terminals, including all operational stops","Vitesse de croisière moyenne entre deux points de trajet, y compris tous les arrêts intermédiaires","Velocidad media de un medio de transporte entre dos terminales, incluidas todas las paradas operativas"]
["Expl6","Passenger transport performance (pkm) of individual traffic is calculated as the sum of pkm of non-motorised individual transport (e.g. pedestrians, bicycles,...) and individual motorised transport (e.g. private cars, taxis, motorcycles,...) and then divided by pkm of total passenger transport ( sum of pkm of individual and public transport)","Passenger transport performance (pkm) of individual traffic is calculated as the sum of pkm of non-motorised individual transport (e.g. pedestrians, bicycles,...) and individual motorised transport (e.g. private cars, taxis, motorcycles,...) and then divided by pkm of total passenger transport ( sum of pkm of individual and public transport)","La performance de transport de passagers (pkm) du trafic individuel est calculée à partir de la somme des pkm du transport individuel non motorisé (par exemple, piétons, bicyclettes,...) et du transport individuel motorisé (par exemple, voiture particulières, taxis, motos,...) puis divisée par les pkm du transport total de passagers (somme des pkm du transport individuel et du transport public)","El rendimiento del transporte de pasajeros (pkm) de tráfico individual se calcula como la suma de pkm de transporte individual no motorizado (p.ej. peatones, bicicletas,...) y transporte individual motorizado (p.ej. coches privados, taxis, motocicletas,...) y luego se divide por pkm de transporte total de pasajeros (suma de pkm de transporte individual y público)"]
["Expl7","Passenger transport performance (pkm) of public transport is calculated as the sum of pkm of public transportation modes by road and rail and then divided by pkm of total passenger transport (sum of pkm of individual and public transport)","Passenger transport performance (pkm) of public transport is calculated as the sum of pkm of public transportation modes by road and rail and then divided by pkm of total passenger transport (sum of pkm of individual and public transport)","La performance du transport de passagers (pkm) des transports publics est calculé à partir de la somme des pkm des modes de transport public par route et par rail, puis divisée par les pkm du transport total de passagers (somme des pkm des transports individuels et des transports publics)","El rendimiento del transporte de pasajeros (pkm) del transporte público se calcula a partir de la suma de pkm de los modos de transporte público por carretera y ferrocarril y luego se divide por pkm des transporte total de pasajeros (suma de pkm de transporte individual y público)"]
["Expl8","Passenger transport performance (pkm) is calculated as the sum of pkm of private and public passenger transport by road and rail and then divided by the number of inhabitants","Passenger transport performance (pkm) is calculated as the sum of pkm of private and public passenger transport by road and rail and then divided by the number of inhabitants","La performance du transport de passagers (pkm) est calculée comme la somme des pkm du transport privé et public de passagers par route et par rail, puis divisée par le nombre d'habitants","El rendimiento del transporte de pasajeros (pkm) se calcula como la suma de los pkm de transporte privado y público de pasajeros por carretera y ferrocaril y luego se divide por el número de habitantes"]
["Expl9","GHG emissions are calculated as the sum of emissions of motorised individual transportation modes by road such as motorcycles, private cars and (motorcycle-)taxis and then divided by the respective transport performance (pkm) of motorised individual traffic","GHG emissions are calculated as the sum of emissions of motorised individual transportation modes by road such as motorcycles, private cars and (motorcycle-)taxis and then divided by the respective transport performance (pkm) of motorised individual traffic","Les émissions de GES sont calculées à partir de la somme des émissions des modes de transport individuels motorisés par route (tels que les motos, les voitures particulières et les (motos-)taxis) puis divisées par les performances de transport respectives (pkm) du trafic individuel motorisé","Las emisiones de GEI se calculan a partir de la suma de las emisiones de los modos de transporte individual motorizado por carretera (como motocicletas, coches particulares y (moto-)taxis) y luego se dividen por el rendimento respectivo del transporte (pkm) del tráfico individual motorizado"]
["Expl10","GHG emissions are calculated as the sum of emissions of public passenger transport by road and rail and then divided by the respective transport performance (pkm) of public passenger traffic","GHG emissions are calculated as the sum of emissions of public passenger transport by road and rail and then divided by the respective transport performance (pkm) of public passenger traffic","Les émissions de GES sont calculées à partir de la somme des emissions du transport public de passagers par route et par rail, puis divisées par les performances de transport respectives (pkm) du trafic public de passagers","Las emisiones de GEI se calculan como la suma de las emisiones del transporte público de pasajeros por carretera y ferrocarril y luego se dividen por el rendimento respectivo del transporte (pkm) del tráfico público de pasajeros"]
["Expl11","Total vkt of alternative fuel vehicles (LPG, LNG, CNG, hydrogen, hybrid, electric) in motorised passenger road transport are divided by the total vkt of motorised passenger road transport ","Total vkt of alternative fuel vehicles (LPG, LNG, CNG, hydrogen, hybrid, electric) in motorised passenger road transport are divided by the total vkt of motorised passenger road transport ","Véhicules-kilomètre (vkt) total de véhicules à carburant alternatif (GPL, GNL, GNC, hydrogène, hybride, électrique) dans le transport routier motorisé de passagers est divisé par le vkt total des transports routiers motorisés de passagers","Vehículos-kilómetro (vkt) totales de vehículos de combustibles alternativos (GLP, GNL, GNC, hidrógeno, híbridos, eléctricos) en el transporte motorizado de pasajeros por carretera se divididen por los vkt totales del transporte motorizado de pasajeros por carretera"]
["Expl12","Total electric vkt in passenger rail transport are divided by total rail vkt in passenger rail transport","Total electric vkt in passenger rail transport are divided by total rail vkt in passenger rail transport","Vkt des trains électriques dans le transport ferroviaire de passagers est divisé par le vkt total des transport ferroviaire de passagers","Los vkt eléctricos totales en el transporte ferroviario de pasajeros se divididen por los vkt ferroviarios totales en el transporte ferroviario de pasajeros"]
["Expl13",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Transport performance (tkm) of road freight transport is calculated as the sum of tkm of freight transportation modes by road and divided by tkm of total freight transport (sum of road and rail freight transport)"},"Transport performance (tkm) of road freight transport is calculated as the sum of tkm of freight transportation modes by road and divided by tkm of total freight transport (sum of road and rail freight transport)","La performance du transport (tkm) du transport routier de marchandises est calculée à partir de la somme du des tkm des modes de transport de marchandises par route et divisèe par les tkm du transport total de marchandises (somme du transport de marchandises par route et par rail)","El rendimiento del transporte (tkm) del transporte de mercancías por carretera se calcula a partir de la suma de tkm de los modos de transporte de mercancías por carretera y se divide por tkm del transporte total de mercancías (suma del transporte de mercancías por carretera y ferrocarril)"]
["Expl14","Transport performance (tkm) of rail freight transport is calculated as the sum of tkm of freight transportation modes by rail and divided by tkm of total freight transport (sum of road and rail freight transport)","Transport performance (tkm) of rail freight transport is calculated as the sum of tkm of freight transportation modes by rail and divided by tkm of total freight transport (sum of road and rail freight transport)","La performance de transport (tkm) du transport ferroviaire de marchandises est calculée comme la somme des tkm des modes de transport de marchandises pae rail et divisée par les tkm du transport total de marchandises (somme du transport routier et du transport ferroviaire de marchandises)","El rendimiento del transporte (tkm) del transport de mercancías por ferrocarril se calcula a partir de la suma de tkm de los modos de transporte de mercancías por ferrocarril y dividiéndolos por los tkm del transporte total de mercanías (suma del transporte de mercancías por carretera y por ferrocarril)"]
["Expl15","GHG emissions are calculated as the sum of emissions of road freight transport and divided by the transport performance (tkm) of freight transport by road","GHG emissions are calculated as the sum of emissions of road freight transport and divided by the transport performance (tkm) of freight transport by road","Les émissions de GES sont calculées comme la somme des émissions du transport routier de marchandises et divisées par la performance de transport (tkm) du transport routier de marchandises","Las emisiones de GEI se calculan como la suma de las emisiones del transporte de mercancías por carretera y se dividen por el rendimiento del transporte (tkm) del transporte de mercancías por carretera"]
["Expl16","GHG emissions are calculated as the sum of emissions of rail freight transport and divided by the transport performance (tkm) of freight transport by rail","GHG emissions are calculated as the sum of emissions of rail freight transport and divided by the transport performance (tkm) of freight transport by rail","Les émissions de GES sont calculées comme la somme des émissions du transport ferroviaire de marchandises et divisées par la performance de transport (tkm) du transport ferroviaire de marchandises","Las emisiones de GEI se calculan como la suma de las emisiones del transporte de mercancías por ferrocarril y se dividen por el rendimiento del transporte (tkm) del transporte de mercancías por ferrocarril"]
["Expl17","Total vkt of alternative fuel vehicles (LPG, LNG, CNG, hydrogen, hybrid, electric) in road freight transport are divided by total vkt in road freight transport","Total vkt of alternative fuel vehicles (LPG, LNG, CNG, hydrogen, hybrid, electric) in road freight transport are divided by total vkt in road freight transport","Véhicules-kilomètre (vkt) total de véhicules à carburant alternatif (GPL, GNL, GNC, hydrogène, hybride, électrique) dans le transport routier de marchandises est divisé par le vkt total des transports routiers de marchandises","Vehículos-kilómetro (vkt) totales de vehículos de combustibles alternativos (GLP, GNL, GNC, hidrógeno, híbridos, eléctricos) en el transporte de mercancías por carretera se divididen por los vkt totales del transporte de mercancías por carretera"]
["Expl18","Total electric vkt in rail freight transport are divided by total vkt in rail freight transport","Total electric vkt in rail freight transport are divided by total vkt in rail freight transport","Vkt des trains électriques dans le transport ferroviaire de marchandises est divisé par le vkt total des transport ferroviaire de marchandises","Los vkt eléctricos totales en el transporte ferroviario de mercancías se divididen por los vkt ferroviarios totales en el transporte ferroviario de mercancías"]
["Expl21","NMT = Non Motorised Transport, includes walking and bicycling, small-wheeled transport (e.g.skateboards, e-scooters...) ","NMT = Non Motorised Transport, includes walking and bicycling, small-wheeled transport (e.g.skateboards, e-scooters...) ","TNM: Transport non motorisé, inclus les piétons et les vélos, moyen de transport à petites roues (skateboards, trotinette électriques…)","TNM = Transporte no motorizado, incluye caminar y andar en bicicleta, transporte de ruedas pequeñas (por ejemplo, monopatines, e-scooters...) "]
[]
["Descri75",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Climate"},"Climate","Climat","Clima"]
["Descri76","Objective","Objective","Objectif","Objetivo"]
["Descri77","BAU 2020","BAU 2020","BAU 2020","BAU 2020"]
["Descri78","Climate 2025","Climate 2025","Climat 2025","Clima 2025"]
["Descri79","Objective 2025","Objective 2025","Objectif 2025","Objetivo 2025"]
["Descri80","BAU 2025","BAU 2025","BAU 2025","BAU 2025"]
["Descri81","Climate 2030","Climate 2030","Climat 2030","Clima 2030"]
["Descri82","Objective 2030","Objective 2030","Objectif 2030","Objetivo 2030"]
["Descri83","BAU 2030","BAU 2030","BAU 2030","BAU 2030"]
["Mileagepercfuel","Percentage of vkt by fuel type","Percentage of vkt by fuel type","Pourcentage du vkt par type de carburant","Porcentaje de kilómetros recorridos por vehículo (vkt) por tipo de combustible"]
["EFCO2","Emission factors CO2e TTW (kg/TJ)","Emission factors CO2e TTW (kg/TJ)","Facteur d'émission GES CO2eq TTW (kg/TJ)","Factores de emisión CO2e TTW (kg/TJ)"]
["Usedfor","Used for ","Used for ","Utilisé pour","Utilizado para"]
["Fuelcat","Fuel category","Fuel category","Catégorie de carburant","Categoría de combustible"]
["LHV","Lower heating value","Lower heating value","Pouvoir calorifique inférieure","Menor valor de calentamiento"]
["Density","Density","Density","Densité","Densidad"]
["low","low","low","bas","bajo"]
["high","high","high","haut","alto"]
["DefaultkgTJ","Default (kg/TJ)","Default (kg/TJ)","Défaut\n(kg/TJ)","Por defecto (kg/TJ)"]
["calculated","calculated","calculated","calculé","calculado"]
["Factorselec","Factors selected in kg/TJ","Factors selected in kg/TJ","Facteurs utilisés en kg/TJ","Factores seleccionados en kg/TJ"]
["TotalGHGWTW","Emission factors CO2e WTW (kg/TJ)","Emission factors CO2e WTW (kg/TJ)","Facteur d'émission GES CO2eq WTW (kg/TJ)","Factores de emisión CO2e WTW (kg/TJ)"]
["TJ1000tons","TJ/1000 tons \nMJ/kWh for electricity","TJ/1000 tons \nMJ/kWh for electricity","TJ/1000 tonnes\nMJ/kWh pour l'électricité","TJ/1000 toneladas \r\nMJ/kWh para la electricidad"]
["kgl","kg/l;\nKg/kg for NG","kg/l;\nKg/kg for NG","kg/l;\nKg/kg pour GN","kg/l; Kg/kg para GN"]
["RoadG","Road - Gasoline","Road - Gasoline","Route - Essence","Ruta - Gasolina"]
["nu","not used","not used","non-utilisé","no usado"]
["RoadH","Road - Hybrid","Road - Hybrid","Route - Hybride","Ruta - Híbrido"]
["RoadD","Road - Diesel","Road - Diesel","Route - Diesel","Ruta - Diésel"]
["RoadNG","Road - CNG","Road - CNG","Route - GN","Ruta - GN"]
["RoadLPG","Road - LPG","Road - LPG","Route - GPL","Ruta - GLP"]
["RailD","Rail - Diesel","Rail - Diesel","Ferroviaire - Diesel","Ferrocarril - Diésel"]
["Gasun","Motor Gasoline- uncontrolled","Motor Gasoline- uncontrolled","Essence- non controlée","Gasolina de motor - sin control"]
["Gasoxi","Motor Gasoline- Oxidation Catalyst","Motor Gasoline- Oxidation Catalyst","Essence- catalyst oxydation","Gasolina de motor - Catalizador de oxidación"]
["GasLDV",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Motor Gasoline- Low Mileage LDV Vintage 1995 or Later"},"Motor Gasoline- Low Mileage LDV Vintage 1995 or Later","Motor Gasoline- Low Mileage LDV Vintage 1995 or Later","Gasolina de motor - Bajo kilometraje LDV Vintage 1995 o posterior"]
["Gasdiesel","Gas/ Diesel Oil","Gas/ Diesel Oil","Diesel","Diésel"]
["naturalgas","Compressed Natural Gas ","Compressed Natural Gas ","Gas naturel compressé","Gas natural comprimido"]
["LiquPG","Liquefied Petroleum Gases ","Liquefied Petroleum Gases ","Gas de pétrole liquéfié","Gases licuados de petróleo "]
["Avker","Aviation - Kerosene","Aviation - Kerosene","Aviation - Kerosene","Aviación - Queroseno"]
["Avgas","Aviation - Aviation Gasoline","Aviation - Aviation Gasoline","Aviation - Essence","Aviación - Gasolina de aviación"]
["MarHFO","Maritime - HFO","Maritime - HFO","Maritime - Fioul lourd","Marítimo - HFO"]
["Mardiesel","Maritime - MGO","Maritime - MGO","Maritime - MGO","Marítimo - MGO"]
["ShipHFO","Inland Shipping - HFO","Inland Shipping - HFO","Transport fluvial - Fioul lourd","Envío interior - HFO"]
["ShipDiesel","Inland Shipping - Diesel Oil","Inland Shipping - Diesel Oil","Transport fluvial - Diesel","Navegación Interior - Diésel"]
["Shipgas","Inland Shipping - Motor Gasoline","Inland Shipping - Motor Gasoline","Transport fluvial - Essence","Navegación interior - Gasolina de motor"]
["Jetker","Jet Kerosene","Jet Kerosene","Jet Kérosène","Queroseno para aviones"]
["RFO","Residual Fuel Oil","Residual Fuel Oil","Fuel résiduel","Aceite combustible residual"]
["goods","Freight","Freight","Marchandise","Carga"]
["Milannualkm","Vehicle kilometers travelled [Mio. km]","Vehicle kilometers travelled [Mio. km]","Mill. Km","Kilómetros recorridos por el vehículo [Mio. km]"]
["transportperfBAU","Transport performance ","Transport performance ","Prestations de transport","Rendimiento del transporte"]
["scenario","Scenario","Scenario","Scénario","Escenario"]
["totalindividualtransport","Total individual transport","Total individual transport","Somme transport individuel","Transporte individual total"]
["totalpublictransport","Total public transport","Total public transport","Somme transport public","Total del transporte público"]
["Control","Check","Check","Contrôle ","Revisa"]
["vktMilkm","Vkt [Mio. km]","Vkt [Mio. km]","Vkt [Mill. km]","Kilómetros recorridos por vehículo (Vkt) [Mio. km]"]
["RailElec","Rail - Electric","Rail - Electric","Ferroviaire - Electrique","Ferrocarril - Eléctrico"]
["FuelConTJ","Fuel Consumption [TJ]","Fuel Consumption [TJ]","Consommation de carburant [TJ]","Consumo de combustible [TJ]"]
["TotalGHGTTW1000t","Total emission CO2 eq [1000t] TTW","Total emission CO2 eq [1000t] TTW","Emissions totales CO2 eq [1000t] TTW","Emisión total de CO2 eq [1000t] TTW"]
["ChooseBalanceType","Choose the type of balance ","Choose the type of balance ","Choisir le type de bilan","Elija el tipo de balance "]
["PerfPass","Performance of passenger transport per inhabitant and per year","Performance of passenger transport per inhabitant and per year","Performances du transport de passagers par habitant et par an","Rendimiento del transporte de pasajeros por habitante y por año"]
["CO2perinhab","t CO2e/inhabitant","t CO2e/inhabitant","t CO2e/Habitant","t CO2e/habitante"]
["Accperinhab","accidents/100.000 inhabitants","accidents/100.000 inhabitants","Accidents/100.000 Habitants","accidentes/100.000 habitantes"]
["numberinhab","Number of inhabitants","Number of inhabitants","Nombre d'habitants","Número de habitantes"]
["Pkmperinhab","pkm/inhabitant","pkm/inhabitant","pkm/Habitant","pkm/habitante"]
["resBAU","Results BAU","Results BAU","Résultats BAU","Resultados BAU"]
["fuelconsdiff","l/100km or kWh/100km","l/100km or kWh/100km","l/100km ou kWh/100km","l/100km o kWh/100km"]
["ifeupassest",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"ifeu passenger estimation"},"ifeu passenger estimation","ifeu estimation passager","estimación de pasajeros del ifeu"]
["ifeugoodsest","ifeu freight estimation","ifeu freight estimation","ifeu estimation marchandise","estimación de carga del ifeu"]
["Candc","Country and city","Country and city","Ville et Pays","País y ciudad"]
["yearref","Reference year","Reference year","Année de référence","Año de referencia"]
["Text1","First step: select your type of location: country or city, fill in the name of your country/city as well as the base year chosen; select the language and the scope of emissions (WTW or TTW)","First step: select your type of location: country or city, fill in the name of your country/city as well as the base year chosen; select the language and the scope of emissions (WTW or TTW)","Premières étapes : sélectionnez votre type d'emplacement : pays ou ville, indiquez le nom de votre pays/ville ainsi que l'année de référence choisie ; sélectionnez la langue et le scope des émissions (WTW ou TTW).","Primeros pasos: seleccione su tipo de ubicación: país o ciudad , rellene el nombre de su país/ciudad así como el año base elegido; seleccione el idioma y el alcance de las emisiones (WTW o TTW)"]
["Language","Language","Language","Langue","Idioma"]
["Text2","Purpose of this tool:","Purpose of this tool:","But du présent outil: ","El propósito de esta herramienta es:"]
["Text2a","This tool is a bottom-up spreadsheet model to calculate greenhouse gas emission (GHG) of the transport sector at the national and local level. It enables calculating GHG inventories of cities and countries as well as a BAU \"business as usual\" scenario and a climate scenario. The tool enables governments to calculate potential effects of national and urban transport strategies on total GHG emissions. The scope of the emission that should be taken into account is based on a territorial principle (see for more details http://mobiliseyourcity.net/wp-content/uploads/sites/2/2017/09/MobiliseYourCity_MRV_Approach.pdf). Basically all traffic within the defined territory must be taken into account (traffic of inhabitants, incoming and outgoing traffic such as commuters, tourists, freight deliveries and so on).\n\nThe inventory is mandatory, the calculation of a BAU is not compulsory but necessary if a climate scenario is calculated. The climate scenario is optional. Please provide all input to the corresponding assessment (only for base year for inventory, for future years in the allocated BAU parts and eventually for the climate scenario in the climate sheets if wanted).","This tool is a bottom-up spreadsheet model to calculate greenhouse gas emission (GHG) of the transport sector at the national and local level. It enables calculating GHG inventories of cities and countries as well as a BAU \"business as usual\" scenario and a climate scenario. The tool enables governments to calculate potential effects of national and urban transport strategies on total GHG emissions. The scope of the emission that should be taken into account is based on a territorial principle (see for more details http://mobiliseyourcity.net/wp-content/uploads/sites/2/2017/09/MobiliseYourCity_MRV_Approach.pdf). Basically all traffic within the defined territory must be taken into account (traffic of inhabitants, incoming and outgoing traffic such as commuters, tourists, freight deliveries and so on).\n\nThe inventory is mandatory, the calculation of a BAU is not compulsory but necessary if a climate scenario is calculated. The climate scenario is optional. Please provide all input to the corresponding assessment (only for base year for inventory, for future years in the allocated BAU parts and eventually for the climate scenario in the climate sheets if wanted).","\n\nCet outil est un outil excel dit \"bottom-up\" pour le calcul des émissions de gaz à effet de serre (GES) dans le secteur des transports aux niveaux national et local. Il permet de calculer les inventaires de GES des villes et des pays ainsi qu'un scénario «au fil de l'eau» (nommé BAU or business as usual) et un scénario clima. L'outil permet aux gouvernements de calculer les effets potentiels des politiques nationales et urbaines de transport sur les émissions totales de GES. Le cadre géographique des émissions à prendre en compte est basé sur un principe territorial (voir pour plus de détails http://mobiliseyourcity.net/wp-content/uploads/sites/2/2017/09/MobiliseYourCity_MRV_Approach.pdf). Fondamentalement toute activité de traffic routier à l'intérieur du territoire défini doit être pris en compte (trafic des habitants, trafic entrant et sortant comme les trajets jpournaliers, touristiques, les livraisons de marchandises, etc.)\n\nL'inventaire est obligatoire, le calcul d'un scénario BAU n'est pas obligatoire mais nécessaire si un scénario climatique est calculé. Le scénario climatique est facultatif. Veuillez fournir toutes les données nécessaires à l'évaluation souhaitée (uniquement pour l'année de base pour l'inventaire, pour les années futures dans la feuille BAU et éventuellement pour le scénario climatique dans l'onglet Scénario clima si celui-ci est à calculer).\n","Esta herramienta es un modelo de hoja de cálculo ascendente para calcular las emisiones de gases de efecto invernadero (GEI) del sector del transporte a escala nacional y local. Permite calcular inventarios de GEI de ciudades y países, así como un escenario BAU \"business as usual\" y un escenario climático. La herramienta permite a los gobiernos calcular los efectos potenciales de las estrategias de transporte nacional y urbano sobre las emisiones totales de GEI. El alcance de la emisión que debe tenerse en cuenta se basa en un principio territorial (para más detalles, véase http://mobiliseyourcity.net/wp-content/uploads/sites/2/2017/09/MobiliseYourCity_MRV_Approach.pdf). Básicamente, debe tenerse en cuenta todo el tráfico dentro del territorio definido (tráfico de habitantes, tráfico entrante y saliente, como viajeros, turistas, entregas de mercancías, etc.).\n\nEl inventario es obligatorio, el cálculo de un BAU no es obligatorio pero es necesario si se calcula un escenario climático. El escenario climático es opcional. Por favor, facilite todos los datos de entrada para la evaluación correspondiente (sólo para el año base del inventario, para los años futuros en las partes BAU asignadas y eventualmente para el escenario climático en las hojas climáticas si lo desea)."]
["Text2b","The tool contains several excel sheets. \n- Sheet \"2A Input Base and BAU\" enables calculating the GHG inventory and the Business as usual scenario\n- The sheets \"3A Input Climate Scen Pass\" and \"3B Input Climate Scen Freight\" delivers the effects of mitigation actions. \n- Sheet \"2B Top-Down Validation contains a bottom-up vs. top-down (based on energy balance data) validation of the results calculated for the reference year. This is especially relevant for the national level.\n- The Sheets \"7 Value Fuel Consumption\"  and \"8 Value Occupancy Load\" contain orientation data for users, if no vehicle fuel consumption or occupancy/load data are available for its country/city\n\nAll other tabs are tabs, which contain calculations (in grey) or present results (in blue) and do not require any user input.","The tool contains several excel sheets. \n- Sheet \"2A Input Base and BAU\" enables calculating the GHG inventory and the Business as usual scenario\n- The sheets \"3A Input Climate Scen Pass\" and \"3B Input Climate Scen Freight\" delivers the effects of mitigation actions. \n- Sheet \"2B Top-Down Validation contains a bottom-up vs. top-down (based on energy balance data) validation of the results calculated for the reference year. This is especially relevant for the national level.\n- The Sheets \"7 Value Fuel Consumption\"  and \"8 Value Occupancy Load\" contain orientation data for users, if no vehicle fuel consumption or occupancy/load data are available for its country/city\n\nAll other tabs are tabs, which contain calculations (in grey) or present results (in blue) and do not require any user input.","L'outil contient plusieurs feuilles Excel. \n- La feuille \"2A Input Base and BAU\" permet de calculer l'inventaire des GES et le scénario Business as usual\n- Les feuilles \"3A Input Climate Scen Pass\" et \"3B Input Climate Scen Freight\" fournissent les effets des actions d'atténuation.  \n- La feuille \"2B Top-Down Validation\" contient une validation ascendante par rapport à une validation descendante (basée sur les données du bilan énergétique) des résultats calculés pour l'année de référence. Ceci est particulièrement important au niveau national.\n- Les feuilles \"7 VValue Fuel Consumption\" et \"8 Value Occupancy_Load\" contiennent des données d'orientation pour les utilisateurs qui ne disposent pas de données sur la consommation de carburant des véhicules ou sur la charge d'occupation pour leur pays/ville. \n\nTous les autres onglets sont des onglets qui contiennent des calculs (en gris) ou présentent des résultats (en bleu) et ne nécessitent aucune entrée de la part de l'utilisateur.","La herramienta contiene varias hojas Excel. \n- La hoja \"2A Input Base and BAU\" permite calcular el inventario de GEI y el escenario Business as usual\n- Las hojas \"3A Input Climate Scen Pass\" y \"3B Input Climate Scen Freight\" ofrecen los efectos de las acciones de mitigación.  \n- La hoja \"2B Validación descendente contiene una validación ascendente frente a una descendente (basada en los datos del balance energético) de los resultados calculados para el año de referencia. Esto es especialmente relevante a nivel nacional.\n- Las hojas \"7 Valor del consumo de combustible\" y \"8 Valor de la carga de ocupación\" contienen datos orientativos para los usuarios, si no se dispone de datos sobre el consumo de combustible de los vehículos o la ocupación/carga para su país/ciudad.\n\nTodas las demás pestañas son fichas que contienen cálculos (en gris) o presentan resultados (en azul) y no requieren ninguna entrada por parte del usuario."]
["Text2c","The input data required to calculate the GHG inventory and the BAU scenario (sheet \"2A Input Base and BAU\") are listed below:\n1. Socio-economic data \n- Population (Number of inhabitants)\n- GDP (Gross domestic product)\n2. Vehicle kilometers travelled (vkt) within the country/city. This input data can be provided for two different approaches:\n- The vkt approach: Direct input of the vehicle kilometers travelled for each vehicle category to be assessed for the reference year. This approach can often be applied, when data from a transport model are available. \n- The fleet approach: Required input data for the reference year are the number of vehicles (vehicle stock) and the annual average mileage (vkt/year) for each vehicle category to be assessed.\n- For both approaches the expected growth rate of the total vehicle kilometers travelled (vkt) should be given in order to calculate the Business-as-usual (BAU) scenario.\n3. Further required transportation data:\n- Average load (freight transport) and average occupancy (passenger transport) per vehicle category\n- Average trip length\n- Distribution of the vkt by fuel type per vehicle category\n- Average fuel/energy consumption by category per vehicle category\n- CO2 content of the grid electricity production\n\nCountries/cities which can not provide all of the required data can contact the MobiliseYourCity secretariat to check if suitable data are available (http://mobiliseyourcity.net/partnership/secretariat/).","The input data required to calculate the GHG inventory and the BAU scenario (sheet \"2A Input Base and BAU\") are listed below:\n1. Socio-economic data \n- Population (Number of inhabitants)\n- GDP (Gross domestic product)\n2. Vehicle kilometers travelled (vkt) within the country/city. This input data can be provided for two different approaches:\n- The vkt approach: Direct input of the vehicle kilometers travelled for each vehicle category to be assessed for the reference year. This approach can often be applied, when data from a transport model are available. \n- The fleet approach: Required input data for the reference year are the number of vehicles (vehicle stock) and the annual average mileage (vkt/year) for each vehicle category to be assessed.\n- For both approaches the expected growth rate of the total vehicle kilometers travelled (vkt) should be given in order to calculate the Business-as-usual (BAU) scenario.\n3. Further required transportation data:\n- Average load (freight transport) and average occupancy (passenger transport) per vehicle category\n- Average trip length\n- Distribution of the vkt by fuel type per vehicle category\n- Average fuel/energy consumption by category per vehicle category\n- CO2 content of the grid electricity production\n\nCountries/cities which can not provide all of the required data can contact the MobiliseYourCity secretariat to check if suitable data are available (http://mobiliseyourcity.net/partnership/secretariat/).","Les données d'entrée pour l'année de référence et le scénario BAU (business as usual ou fil de l'eau), qui doivent être fournis dans la feuille \"Base d'entrée 2A et BAU\", sont énumérés ci-dessous:\n1. Données socioéconomiques\n- Population (nombre d'habitants)\n- PIB (produit intérieur brut)\n\n2. Véhicule kilomètre parcourus (vkt) dans le pays / la ville. Ces données d'entrée peuvent être fournies pour deux approches différentes:\n- L'approche kilométrique: saisie directe des véhicules-kilomètres parcourus pour chaque catégorie de véhicule à évaluer pour l'année de référence. Cette approche peut souvent être appliquée lorsque les données d'un modèle de planification des transport sont disponibles.\n- L'approche flotte de véhicules: les données d'entrée requises pour l'année de référence sont le nombre de véhicules (parc de véhicules) et le kilométrage annuel moyen (vkt / an) pour chaque catégorie de véhicule à évaluer.\n- Pour les deux approches, il convient d'indiquer le taux de croissance attendu du nombre total de véhicules-kilomètres parcourus (vkt) pour le scénario BAU\n\n3. Autres données de transport requises:\n- Charge moyenne (transport de marchandises) et occupation moyenne (transport de passagers) par catégorie de véhicule\n- Distance moyenne des trajets\n- Répartition du kilométrage des véhicules (vkt) par type de carburant par catégorie de véhicule\n- Consommation moyenne de carburant / énergie par catégorie par catégorie de véhicule\n- Teneur en CO2 de la production d'électricité du réseau\n\nLes pays / villes qui ne peuvent pas fournir toutes les données requises afin de calculer les résultats attendus peuvent contacter le secrétariat de MobiliseYourCity pour vérifier si des données par défaut existent pour le pays / ville (http://mobiliseyourcity.net/partnership/secretariat/).","Los datos dLos datos de entrada para el año base y el escenario BAU (business as usual), que se facilitarán en la hoja \"Input base 2A y BAU\", se enumeran a continuación:\n1. Datos socioeconómicos\n- Población (número de habitantes)\n- PIB (producto interior bruto)\n\n2. Vehículos-kilómetro recorridos (vkt) en el país/ciudad. Estos datos de entrada se pueden proporcionar para dos enfoques diferentes:\n- El enfoque kilométrico: captura directa de los vehículos-kilómetro recorridos para cada categoría de vehículos que debe evaluarse para el año de referencia. Este enfoque puede aplicarse a menudo cuando se dispone de datos de un modelo de planificación del transporte.\n- El enfoque del parque de vehículos: los datos de entrada necesarios para el año de referencia son el número de vehículos (parque) y el kilometraje medio anual (vkt/año) de cada categoría de vehículos que se va a evaluar.\n- Para ambos enfoques, debe indicarse la tasa de crecimiento prevista del número total de vehículos-kilómetro recorridos (vkt) para la hipótesis BAU.\n\n3. Otros datos de transporte necesarios:\n- Carga media (transporte de mercancías) y ocupación media (transporte de pasajeros) por categoría de vehículo\n- Distancia media del viaje\n- Distribución del kilometraje del vehículo (vkt) por tipo de combustible por categoría de vehículo\n- Consumo medio de combustible/energía por categoría y por categoría de vehículo\n- Contenido de CO2 de la generación de electricidad de la red\n\nLos países/ciudades que no puedan proporcionar todos los datos necesarios para calcular los resultados previstos pueden ponerse en contacto con la secretaría de MobiliseYourCity para comprobar si existen datos por defecto para el país/ciudad (http://mobiliseyourcity.net/partnership/secretariat/)."]
["Text3","\nPlease note the color code applied within the tool: Users should only put data or adjust data in cells which are indicated green. \nAutomatic detection errors are built in within the tool and can be found on top of the pages in red. Pop up messages may also pop up if an unrealistic value is given by the user.\n\nThe developers are not responsible for the accuracy of the results. Any modification of the tool is the responsibility of the user.\n\nContext:\nThis tool was developed by the Institute for Energy and Environmental Research (ifeu - http://www.ifeu.de) in cooperation with the German and French development agencies GIZ and AFD.\nIt is not allowed to use the tool for commercial purposes.\n\nContact:\nMarie Colson (marie.colson@ifeu.de) or Felix Spathelf (felix.spathelf@ifeu.de)\nWilckenstraße 3, 69120, Heidelberg, Germany","\nPlease note the color code applied within the tool: Users should only put data or adjust data in cells which are indicated green. \nAutomatic detection errors are built in within the tool and can be found on top of the pages in red. Pop up messages may also pop up if an unrealistic value is given by the user.\n\nThe developers are not responsible for the accuracy of the results. Any modification of the tool is the responsibility of the user.\n\nContext:\nThis tool was developed by the Institute for Energy and Environmental Research (ifeu - http://www.ifeu.de) in cooperation with the German and French development agencies GIZ and AFD.\nIt is not allowed to use the tool for commercial purposes.\n\nContact:\nMarie Colson (marie.colson@ifeu.de) or Felix Spathelf (felix.spathelf@ifeu.de)\nWilckenstraße 3, 69120, Heidelberg, Germany","Veuillez noter le code de couleur appliqué dans l'outil : Les utilisateurs ne doivent introduire des données ou ajuster des données que dans les cellules indiquées en vert. \nLes erreurs de détection automatique sont intégrées dans l'outil et apparaissent en rouge en haut des pages. Des messages \"pop up\" peuvent également apparaître si l'utilisateur donne une valeur irréaliste.\n\nLes développeurs ne sont pas responsables de l'exactitude des résultats. Toute modification de l'outil est de la responsabilité de l'utilisateur.\n\nLe contexte:\nCet outil a été développé par IFEU (http://www.ifeu.de/).\nIl est interdit d'utiliser l'outil à des fins commerciales.\n\nContact:\nMarie Colson (marie.colson@ifeu.de) ou Felix Spathelf (felix.spathelf@ifeu.de)\nWilckenstraße 3, 69120, Heidelbeg, Allemagne","Tenga en cuenta el código de colores aplicado dentro de la herramienta: Los usuarios sólo deben poner datos o ajustar los datos en las celdas que se indican en verde. Los errores de detección automática están integrados en la herramienta y aparecen en rojo en la parte superior de las páginas.  También pueden aparecer mensajes emergentes si el usuario introduce un valor irreal.\n\nLos desarrolladores no son responsables de la exactitud de los resultados. Cualquier modificación de la herramienta es responsabilidad del usuario.\n\nContexto:\nEsta herramienta fue desarrollada por el Instituto de Investigación Energética y Medioambiental (ifeu - http://www.ifeu.de) en cooperación con las agencias de desarrollo alemana y francesa GIZ y AFD.\nNo se permite el uso de la herramienta para fines comerciales.\n\nContacto:\nMarie Colson (marie.colson@ifeu.de) o Felix Spathelf (felix.spathelf@ifeu.de)\nWilckenstraße 3, 69120 Heidelberg, Alemania"]
["Text4","Presentation of the tool","Presentation of the tool","Présentation de l'outil","Presentación de la herramienta"]
["Text5","2A Input base and BAU","2A Input base and BAU","2A Input base and BAU","2A Base de entrada y BAU"]
["Text6","In this sheet the GHG inventory for the reference year and a Business-As-Usual scenario can be calculated. Please be aware that all green fields need to be filled in to enable the tool to work correctly, from the top to the bottom.\n\nThe required data is listed below:\n1. Socio-economic data\n- Population\n- GDP - Gross domestic product (if available)\n\n2. Vehicle kilometers travelled based on two possible approaches:\n- Either with transport model tool: total vkt for each vehicle category for the base year\n- Or the fleet approach: number of vehicles and the corresponding average annual vkt per vehicle for the base year\nIt is possible to combine the approaches for different vehicle categories or for different years, but only one approach can be used per year and per vehicle category.\n- In both cases the expected growth in the BAU should be given for each period\n\n3. Further data\n- Load/occupancy and trip length\n- The breakdown of vkt by fuel type\n- The average fuel consumption per vehicle sub-category\n- The CO2 content of electricity production\nGHG emissions from electric vehicles (due to electric energy consumption) are only taken into account if the WTW option in sheet \"Get started\" is selected.\n\nThe GHG intensity of other fuels are given in the default parameter tab, they can be changed if better data are availabel for the country, especially for hydrogen values (gCO2/MJ), which may differ widely depending on the technology and energy source. ","In this sheet the GHG inventory for the reference year and a Business-As-Usual scenario can be calculated. Please be aware that all green fields need to be filled in to enable the tool to work correctly, from the top to the bottom.\n\nThe required data is listed below:\n1. Socio-economic data\n- Population\n- GDP - Gross domestic product (if available)\n\n2. Vehicle kilometers travelled based on two possible approaches:\n- Either with transport model tool: total vkt for each vehicle category for the base year\n- Or the fleet approach: number of vehicles and the corresponding average annual vkt per vehicle for the base year\nIt is possible to combine the approaches for different vehicle categories or for different years, but only one approach can be used per year and per vehicle category.\n- In both cases the expected growth in the BAU should be given for each period\n\n3. Further data\n- Load/occupancy and trip length\n- The breakdown of vkt by fuel type\n- The average fuel consumption per vehicle sub-category\n- The CO2 content of electricity production\nGHG emissions from electric vehicles (due to electric energy consumption) are only taken into account if the WTW option in sheet \"Get started\" is selected.\n\nThe GHG intensity of other fuels are given in the default parameter tab, they can be changed if better data are availabel for the country, especially for hydrogen values (gCO2/MJ), which may differ widely depending on the technology and energy source. ","Cet onglet fournit les informations pour l'inventaire des émissions liées au transport et le scénario BAU ou scénario au fil de l'eau (dans les cellules vertes). Veuillez noter que tous les champs verts doivent être remplis pour permettre à l'outil de fonctionner correctement, de haut en bas.\nL'outil contient:\n\n1. Les données socioéconomiques\n- la population considérée dans le scénario\n- Le PIB (si disponible)\n\n2. Les données kilométriques basées sur deux approches possibles:\n- soit avec un logiciel de planification des transports: vkt total pour chaque catégorie de véhicule pour l'année de base\n- soit l'approche par flotte: le nombre de véhicules et le vkt annuel moyen correspondant par véhicule pour l'année de base\nIl est possible de combiner les approches pour différentes catégories de véhicules ou pour différentes années, mais une seule approche peut être utilisée par année et par catégorie.\n- dans les deux cas, la croissance attendue du BAU (scénario au fil de l'eau) doit être indiquée pour chaque période\n\n3. Autres données de transport\n- Facteur de charge et taux d'occupation\n- la répartition du vkt par type de carburant pour les périodes indiquées par type de véhicule\n- la consommation moyenne de carburant par sous-catégorie de véhicule\n- la teneur en CO2 de l'électricité;\nLes émissions de GES des véhicules électriques (dues a la productions d'électricité) ne sont considérées que si l'option WTW (Well to Wheel) est sélectionnée.\n\nL'intensité des GES des autres combustibles est indiquée dans l'onglet des paramètres par défaut, elle peut être modifiée si de meilleures données sont disponibles pour le pays, en particulier pour les valeurs de l'hydrogène (gCO2/MJ), qui peuvent être très différentes selon la technologie et la source d'énergie. ","En esta hoja se puede calcular el inventario de GEI para el año de referencia y un escenario de negocios. Tenga en cuenta que es necesario rellenar todos los campos verdes para que la herramienta funcione correctamente, desde arriba hasta abajo.\n\nA continuación se enumeran los datos necesarios:\n1. Datos socioeconómicos\n- Población\n- PIB - Producto interno bruto (si está disponible)\n\n2. Los kilómetros recorridos por el vehículo se basan en dos posibles enfoques:\n- Cualquiera con la herramienta del modelo de transporte: Total de vkt para cada categoría de vehículo para el año base\n- O la flota se aproxima: Número de vehículos y el correspondiente promedio anual de vkt por vehículo\nEs posible combinar los enfoques para diferentes categorías de vehículos o para diferentes años, pero sólo se puede utilizar un enfoque por año y por categoría de vehículo.\n- En ambos casos, el crecimiento esperado de la BAU debe darse para cada período\n\n3. Más datos...\n- Carga/ocupación y duración del viaje\n- El desglose de vkt por tipo de combustible\n- El consumo medio de combustible por subcategoría de vehículos\n- El contenido de CO2 de la electricidad\nLas emisiones de GEI de los vehículos eléctricos (debido al consumo de energía eléctrica) sólo se tienen en cuenta si se selecciona la opción WTW.\n\nLa intensidad de los gases de efecto invernadero de otros combustibles se indica en la pestaña de parámetros por defecto, y puede modificarse si se dispone de mejores datos para el país, especialmente en el caso de los valores del hidrógeno (gCO2/MJ), que pueden variar mucho en función de la tecnología y la fuente de energía. "]
["Text23","This sheet is for validation purposes. It is therefore optional to enter data (i.e. results are displayed on sheet 4 even if this sheet is empty), but it is strongly recommended to do so, especially in the context of national inventories, in order to cross-check results.\n\nA well-known validation approach especially for national GHG inventories is the comparison of the calculated fuel consumption (summed by fuel type and vehicle category) obtained from the present tool (bottom-up approach) with the national energy balance (top-down approach). Differences within a range of +/- 10% are quite common and should not be considered as error but as uncertainty. One reason can be for example, that the energy balance does not include fuels bought in neighboring countries and consumed within the country. The emission inventory report should try explaining gaps and analyze the possibility to minimize the related uncertainties.\nEnergy balance data are based on the total fuel sales within the country. According to the IPCC guidelines 2006, the final energy consumption for the GHG inventory should be calculated as follows: production + import - export - international bunkers - stock change. The main uncertainties for energy balance data are: \n- Wrong allocation of fuels to the sub-transport sectors (e.g. fuel consumption from diesel generators should not be accounted in transport sector) or transport subcategories (i.e. road transportation vs. other transports, domestic use vs. international bunkers)\n- Amount of grey imports (illegally sold fuels, tank-tourism...)\n\nThe main uncertainties for bottom-up fuel consumption data are: \n- Activity data i.e. fleet composition, number of vehicles or vkt, specific fuel consumption \nA comparison of different sources can help to identify the range of uncertainties. If identifying the parameter with the highest uncertainties is possible, it makes sense to try adjusting it. For example, the calculated total gasoline consumption for road transport is 30% higher than the value given in the energy balance. Motorcycles consume 50% of motor gasoline and the motorcycle population could not be provided by official statistics but only estimated. In order to minimize the gap for motor gasoline to e.g. 10%, the number of motorcycles could be diminished by 30%. Another common approach is to adjust average vkt in order to match the energy balance results.\n\nFor definitions of the codes 1.3.A and similar refer to the IPCC guidelines.","This sheet is for validation purposes. It is therefore optional to enter data (i.e. results are displayed on sheet 4 even if this sheet is empty), but it is strongly recommended to do so, especially in the context of national inventories, in order to cross-check results.\n\nA well-known validation approach especially for national GHG inventories is the comparison of the calculated fuel consumption (summed by fuel type and vehicle category) obtained from the present tool (bottom-up approach) with the national energy balance (top-down approach). Differences within a range of +/- 10% are quite common and should not be considered as error but as uncertainty. One reason can be for example, that the energy balance does not include fuels bought in neighboring countries and consumed within the country. The emission inventory report should try explaining gaps and analyze the possibility to minimize the related uncertainties.\nEnergy balance data are based on the total fuel sales within the country. According to the IPCC guidelines 2006, the final energy consumption for the GHG inventory should be calculated as follows: production + import - export - international bunkers - stock change. The main uncertainties for energy balance data are: \n- Wrong allocation of fuels to the sub-transport sectors (e.g. fuel consumption from diesel generators should not be accounted in transport sector) or transport subcategories (i.e. road transportation vs. other transports, domestic use vs. international bunkers)\n- Amount of grey imports (illegally sold fuels, tank-tourism...)\n\nThe main uncertainties for bottom-up fuel consumption data are: \n- Activity data i.e. fleet composition, number of vehicles or vkt, specific fuel consumption \nA comparison of different sources can help to identify the range of uncertainties. If identifying the parameter with the highest uncertainties is possible, it makes sense to try adjusting it. For example, the calculated total gasoline consumption for road transport is 30% higher than the value given in the energy balance. Motorcycles consume 50% of motor gasoline and the motorcycle population could not be provided by official statistics but only estimated. In order to minimize the gap for motor gasoline to e.g. 10%, the number of motorcycles could be diminished by 30%. Another common approach is to adjust average vkt in order to match the energy balance results.\n\nFor definitions of the codes 1.3.A and similar refer to the IPCC guidelines.","Cette feuille est utilisée à des fins de validation. La saisie des données est donc facultative (c'est-à-dire que les résultats sont affichés sur la feuille 4 même si cette feuille est vide), mais il est fortement recommandé de le faire, en particulier dans le cadre des inventaires nationaux, afin de vérifier les résultats par recoupement.\n\nUne approche de validation connue consiste à comparer la consommation de carburant calculée dans cet outil (bottom-up) et le bilan énergétique national (top-down). Une différence comprise dans une plage de +/- 10% est assez courante et ne doit pas être considérée comme une erreur mais comme une incertitude. Elle peut être expliquée par exemple parce que le bilan énergétique comprend le carburant acheté dans les pays voisins et consommé dans le pays. Le rapport d'inventaire des émissions devrait tenter d'expliquer les lacunes et d'analyser la possibilité de minimiser les incertitudes associées.\n\nLes données de la balance énergétique sont basées sur les ventes totales de carburant dans le pays. Selon les directives 2006 du GIEC, la consommation finale d'énergie pour l'inventaire de GES devrait être calculée comme suit: production + importation - exportation - soutes internationales - variation des stocks. Les principales incertitudes pour les données du bilan énergétique sont les suivantes:\n-La mauvaise allocation du carburant au secteur des transport ou à un sous-secteur des transport (c.-à-d. la consommation de carburant dans des générateurs devrait être attribué au secteur du bâtiment mais le manque de données peut limiter l'acuité de la séparation secteur bâtiment et transport. Ou bien une partie du carburant peut êetre faussement attribuée au sous-secteur ex. routier.\n- Quantité d'importations \"grises\" de carburant (carburants vendus illégalement, tourisme de carburant...)\n\n- Les principales incertitudes concernant les données de consommation de carburant provenant de l'approche \"bottom-up\" sont les suivantes:\nDonnées d'activité, composition de la flotte, numéro de véhicule ou vkt ainsi que consommation de carburant spécifique\nUne comparaison de différentes sources peut aider à identifier la gamme d'incertitudes. Si le paramètre avec les plus grandes incertitudes est possible, il est pertinent d'essayer d'ajuster les données correspondantes. Par exemple, la consommation totale calculée d’essence pour le transport routier est 30% plus élevée que la valeur indiquée dans le bilan énergétique. Les motocyclettes consomment 50% de l'essence et la population motocycliste n'a pas pu être fournie par les statistiques officielles. Afin de minimiser l'écart pour le moteur 10%, le nombre de motos pourrait être réduit de 30%. Une autre approche courante consiste à ajuster le vkt moyens afin d’aligner les résultats du bilan énergétique.\n\nLes codes 1.3.A et similaires réfèrent aux guides méthodolgiques du GIEC ","Esta hoja tiene fines de validación. Por lo tanto, es opcional introducir datos (es decir, los resultados se muestran en la hoja 4 incluso si esta hoja está vacía), pero se recomienda encarecidamente hacerlo, especialmente en el contexto de los inventarios nacionales, con el fin de cotejar los resultados.\n\nUn enfoque de validación bien conocido, especialmente para los inventarios nacionales de GEI, es la comparación del consumo calculado de combustible (sumado por tipo de combustible y categoría de vehículo) obtenido con el presente instrumento (enfoque ascendente) con el balance energético nacional (enfoque descendente). Las diferencias dentro de un rango de +/- 10% son bastante comunes y no deben considerarse como un error sino como una incertidumbre. Una razón puede ser, por ejemplo, que el balance energético no incluye los combustibles comprados en países vecinos y consumidos dentro del país. El informe del inventario de emisiones debería tratar de explicar las lagunas y analizar la posibilidad de minimizar las incertidumbres relacionadas.\nLos datos del balance energético se basan en las ventas totales de combustible dentro del país. De acuerdo con las directrices del IPCC 2006, el consumo final de energía para el inventario de GEI debe calcularse de la siguiente manera: producción + importación - exportación - reservas internacionales - cambio de existencias. Las principales incertidumbres para los datos del balance energético son: \n- Asignación incorrecta de combustibles a los sectores de subtransporte (por ejemplo, el consumo de combustible de los generadores diesel no debería contabilizarse en el sector del transporte) o subcategorías de transporte (por ejemplo, transporte por Ruta frente a otros transportes, uso interno frente a búnkeres internacionales)\n- Cantidad de importaciones grises (combustibles vendidos ilegalmente, turismo de tanques )\n\nLas principales incertidumbres para los datos de consumo de combustible de abajo hacia arriba son: \n- Datos de actividad, es decir, composición de la flota, número de vehículos o kilómetros recorriods por vehículo (vkt), consumo específico de combustible \nLa comparación de diferentes fuentes puede ayudar a identificar la gama de incertidumbres. Si es posible identificar el parámetro con mayores incertidumbres, tiene sentido intentar ajustarlo. Por ejemplo, el consumo total calculado de gasolina para el transporte por Ruta es un 30% mayor que el valor dado en el balance energético. Las motocicletas consumen el 50% de la gasolina de motor y la población de motocicletas no pudo ser proporcionada por las estadísticas oficiales sino sólo estimada. Para minimizar la brecha de la gasolina de motor hasta, por ejemplo, el 10%, el número de motocicletas podría disminuir en un 30%. Otro enfoque común es ajustar el promedio de vkt para que coincida con los resultados del balance energético.\n\nPara las definiciones de los códigos 1.3.A y similares, consulte las directrices del IPCC."]
["Text7","3A Input Climat Scen. Pass.","3A Input Climat Scen. Pass.","3A Input Climate Scen. Pass.","3A Escena climática de entrada. Pass."]
["Text8","This sheets enables calculating a climate scenario, based on mitigations actions, for the passenger transportation sector. In order to derive transport demand data for the calculations two different data input approaches are possible. In order to avoid wrong results please choose and apply just one approach.\n\nThe first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) provided by an external transport planning tool. Once the two tables are filled in, the user can skip the next section and continue with step 3).\n\nIf no data from a transport planning tool are available, the second approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. For calculating potential GHG savings from mitigation measures within this approach the \"ASI\" (Avoid/Shift/Improve) approach is applied. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type (Avoid, Shift or Improve). E.g. Parking area management may lead to 5% avoided passenger car vehicle kilometers travelled (vkt).\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption","This sheets enables calculating a climate scenario, based on mitigations actions, for the passenger transportation sector. In order to derive transport demand data for the calculations two different data input approaches are possible. In order to avoid wrong results please choose and apply just one approach.\n\nThe first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) provided by an external transport planning tool. Once the two tables are filled in, the user can skip the next section and continue with step 3).\n\nIf no data from a transport planning tool are available, the second approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. For calculating potential GHG savings from mitigation measures within this approach the \"ASI\" (Avoid/Shift/Improve) approach is applied. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type (Avoid, Shift or Improve). E.g. Parking area management may lead to 5% avoided passenger car vehicle kilometers travelled (vkt).\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption","\nDans cet onglet les effets des mesures d'atténuation pour le transport de passagers peuvent être calculés pour un scénario climat. Afin de dériver les données de demande de transport pour les calculs, deux approches différentes d'entrée de données sont possibles. L'utilisateur doit choisir de préférence une seule approche.\n\nDans la première approche \"AVEC CALCUL PRÉALABLE - LOGICIEL DE PLANIFICATION DES TRANSPORTS\", l'utilisateur peut entrer directement les performances de transport (pkm / tkm) et les véhicules kilomètres parcourus (vkt) fournis par un logiciel de planification de transport externe. Une fois les deux tableaux remplis, l'utilisateur peut aller directement à  l'étape 3).\n\nSi aucune donnée issue d'un logiciel de planification des transports n'est disponible, la deuxième approche \"SANS CALCUL PRÉALABLE- CALCULS DANS CET OUTIL\" peut être appliquée. Pour calculer les économies de GES potentielles résultant des mesures d'atténuation, l'approche \"ASI\" (éviter / transférer / améliorer) est appliquée. Les utilisateurs doivent estimer l'effet des actions sur la demande de transport pour chaque type d'action d'atténuation (Eviter/Transférer/Améliorer). Par exemple: La gestion des aires de stationnement peut permettre d'éviter 5% des kilomètres parcourus pour la catégorie des voitures(vkt).\n\n1) Eviter: transfert en mode de transport non motorisé (NMT)\n2) Shift: extension du transport public de passagers (TCP) et / ou ajustement du taux d'occupation\n\nUne fois la demande de transport est définie par une des deux approches mentionnées, les deux étapes finales concernant le type et la consommation de carburant peuvent être remplies:\n3) Améliorer: pénétration des énergies alternatives\n4) Améliorer: ajustement de la consommation spécifique de carburant / énergie","En esta hoja se pueden calcular los efectos de las medidas de mitigación para el transporte de pasajeros en un escenario climático. Para obtener datos sobre la demanda de transporte para los cálculos son posibles dos enfoques diferentes de entrada de datos. El usuario tiene que elegir preferentemente un enfoque.\n\nEl primer enfoque \"\"CON LOS CÁLCULOS DEL SISTEMA DE CALCULACIÓN DEL TRANSPORTE EXTERNO - ENTRADA DE UNA HERRAMIENTA DE PLANIFICACIÓN DEL TRANSPORTE EXTERNO\"\" el usuario puede introducir directamente el rendimiento del transporte (pkm/tkm) y los kilómetros recorridos por el vehículo (vkt) proporcionados por una herramienta de planificación del transporte externo. Una vez que se completan las dos tablas, el usuario puede saltarse la siguiente sección y continuar con el paso 3).\n\nSi no se dispone de datos de una herramienta de planificación del transporte, se puede aplicar el segundo enfoque \"SIN CÁLCULOS DE RETROCESO - CÁLCULOS DENTRO DE ESTA HERRAMIENTA\". Para calcular las posibles economías de GEI derivadas de las medidas de mitigación en el marco de este enfoque, el \"\"ASI\"\" Se aplica el enfoque (Evitar/Mover/Mejorar). Los usuarios tienen que estimar el efecto de las medidas relacionadas con el transporte en la demanda de transporte para cada tipo de medida de mitigación (Evitar, Desplazar o Mejorar). Por ejemplo, la gestión de las zonas de aparcamiento puede llevar a evitar un 5% de los kilómetros recorridos por los vehículos de pasajeros (vkt).\n1) Evitar: evitar kilómetros recorridos por vehículos  (vkt)\n2) Cambiar: Desplazamiento del transporte de la corriente a otro modo de transporte\n\nUna vez definida la demanda de transporte a través una de los dos enfoques mencionados anteriormente, el usuario tiene que introducir los datos de los dos últimos pasos relativos al tipo de energía y al consumo energético:\n3) Mejorar: Penetración de energías alternativas\n4) Mejorar: Ajuste del consumo de combustible/energía."]
[]
["Text9",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"3B Input Climate Scen. Freight"},{"$f":"D285","v":"3B Input Climate Scen. Freight"},"3B Input Climate Scen. Freight","3B Escena climática de entrada. Carga"]
["Text10","This sheets enables calculating a climate scenario, based on mitigations actions, for the freight transportation sector. In order to derive transport demand data for the calculations two different data input approaches are distiguished and the user has to choose which one to apply. In order to avoid wrong results please choose and apply just one approach.\n\nWhen choosing the first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) from calculations which were provided by an external transport planning tool. Once the two tables were filled, the user can skip the next sections and continue with step 3)\n\nIf no data from a transport planning tool are available, the second step by step approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. The \"ASI\" (Avoid/Shift/Improve) approach is used to calculate the potential GHG savings from mitigation measures. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type. E.g. The introduction of highway toll for trucks may lead to 5% avoided vehicle kilometers travelled (vkt) from trucks.\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption","This sheets enables calculating a climate scenario, based on mitigations actions, for the freight transportation sector. In order to derive transport demand data for the calculations two different data input approaches are distiguished and the user has to choose which one to apply. In order to avoid wrong results please choose and apply just one approach.\n\nWhen choosing the first approach \"WITH UPSTREAM CALCULATIONS - INPUT FROM EXTERNAL TRANSPORT PLANNING TOOL\" the user can directly enter transport performance (pkm/tkm) and the vehicle kilometers travelled (vkt) from calculations which were provided by an external transport planning tool. Once the two tables were filled, the user can skip the next sections and continue with step 3)\n\nIf no data from a transport planning tool are available, the second step by step approach \"WITHOUT UPSTREAM CALCULATIONS - CALCULATIONS WITHIN THIS TOOL\" can be applied. The \"ASI\" (Avoid/Shift/Improve) approach is used to calculate the potential GHG savings from mitigation measures. Users have to estimate the effect of transport related actions on the transport demand for each mitigation action type. E.g. The introduction of highway toll for trucks may lead to 5% avoided vehicle kilometers travelled (vkt) from trucks.\n1) Avoid: Avoided vehicle kilometers travelled (vkt)\n2) Shift: Shift of transport from the current to another transport modes\n\nOnce the transport demand is defined through one of the two approaches mentioned above the user can enter data for the two last steps concerning energy type and energy consumption:\n3) Improve: Penetration of alternative energies\n4) Improve: Adjustment of fuel/energy consumption","Cet onglet permet de calculer un scénario climatique pour le secteur du transport de marchandises basé sur des mesures d'atténuation. Afin de dériver les données de demande de transport pour les calculs, deux approches différentes d'entrée de données sont possible et l'utilisateur doit choisir laquelle appliquer. Afin d'éviter des résultats erronés, veuillez choisir et appliquer une seule approche.\n\nEn choisissant la première approche \"AVEC CALCULS UPSTREAM - ENTRÉE D'UN OUTIL EXTERNE DE PLANIFICATION DES TRANSPORTS\", l'utilisateur peut entrer directement les performances de transport (pkm/tkm) et les véhicules-kilomètres parcourus (vkt) à partir de calculs fournis par un logiciel externe de planification des transports. Une fois les deux tableaux remplis, l'utilisateur peut passer directement à l'étape 3).\n\nSi aucune donnée provenant d'un logiciel de planification des transports n'est disponible, la deuxième approche  \"SANS CALCULS UPSTREAM - CALCULS DANS CET OUTIL\" peut être appliquée étape par étape. L'approche \"ASI\" (Avoid/Shift/Improve) est utilisée pour calculer les économies potentielles de GES résultant des mesures d'atténuation. Les utilisateurs doivent estimer l'effet des actions liées au transport sur la demande de transport pour chaque type de mesure d'atténuation. Par exemple, l'introduction d'un péage autoroutier peut permettre d'éviter 5 % de kilomètres-véhicules parcourus (vkt) par les camions.\n1) Éviter : Kilomètres-véhicules parcourus évités (vkt).\n2) Shift : Déplacement du transport du mode de transport actuel vers un autre mode de transport.\n\nUne fois la demande de transport définie par une des deux approches mentionnées, les deux étapes finales concernant le type et la consommation de carburant peuvent être remplies:\n3) Améliorer : Pénétration des énergies alternatives\n4) Améliorer : Ajustement de la consommation de carburant/énergie","Esta pestaña permite calcular un escenario climático para el sector del transporte de mercancías basado en medidas de mitigación. Para obtener los datos de la demanda de transporte para los cálculos, son posibles dos enfoques diferentes de entrada de datos y el usuario tiene que elegir cuál aplicar. Para evitar resultados erróneos, elija y aplique sólo un enfoque.\n\nSi se elige el primer enfoque \"CON CÁLCULOS DE VUELTA - ENTRADA DE UNA HERRAMIENTA EXTERNA DE PLANIFICACIÓN DEL TRANSPORTE\", el usuario puede introducir directamente el rendimiento del transporte (pkm/tkm) y los vehículos-kilómetros recorridos (vkt) a partir de los cálculos proporcionados por un software externo de planificación del transporte. Una vez completadas ambas tablas, el usuario puede pasar directamente al paso 3).\n\nSi no se dispone de los datos de un software de planificación del transporte, se puede aplicar paso a paso el segundo enfoque \"SIN CÁLCULOS EN LA VANGUARDIA - CÁLCULOS EN ESTA HERRAMIENTA\". El enfoque \"ASI\" (Avoid/Shift/Improve) se utiliza para calcular el potencial de ahorro de GEI de las medidas de mitigación. Los usuarios deben estimar el efecto de las acciones relacionadas con el transporte en la demanda de transporte para cada tipo de medida de mitigación. Por ejemplo, la introducción de un peaje en las autopistas puede evitar el 5% de los kilómetros recorridos por los camiones.\n1) Evitar: Kilómetros recorridos evitados (vkt).\n2) Cambio: Cambio de transporte del modo de transporte actual a otro modo de transporte.\n\nUna vez definida la demanda de transporte a través una de los dos enfoques mencionados anteriormente, el usuario tiene que introducir los datos de los dos últimos pasos relativos al tipo de energía y al consumo energético:\n3) Mejorar : Penetración de las energías alternativas\n4) Mejorar : Ajuste del consumo de combustible/energía"]
["Text11","5A Calculation BAU","5A Calculation BAU","5A Calcul BAU","5A Cálculo. BAU"]
["Text12","This tab shows the calculations for the BAU scenario for information. No input is required.","This tab shows the calculations for the BAU scenario for information. No input is required.","\nCet onglet montre les calculs opérés pour le scénario au fil de l'eau pour information.  Aucun input n'est requis.\n","Esta pestaña muestra los cálculos del escenario de la BAU para información. No se requiere ninguna entrada."]
["Text13","4 Overview of results","4 Overview of results","4 Vue d'ensemble des résultats","4 Resumen de los resultados"]
["Text14","This sheet presents the results of the base year, the BAU scenario and the Climate scenario for both road and rail transport as well as for passengers and freight transportation.\n\nThe results of the emissions comparing the BAU scenario and the climate scenario are shown in the graphs below. The specific performance indicators are visible in the last table, allowing to compare the values between different years and scenarios.","This sheet presents the results of the base year, the BAU scenario and the Climate scenario for both road and rail transport as well as for passengers and freight transportation.\n\nThe results of the emissions comparing the BAU scenario and the climate scenario are shown in the graphs below. The specific performance indicators are visible in the last table, allowing to compare the values between different years and scenarios.","Cette fiche présente les résultats de l'année de référence, du scénario BAU et du scénario climatique pour le transport routier et ferroviaire ainsi que pour le transport de passagers et de marchandises.\n\nLes résultats des émissions comparant le scénario BAU et le scénario climatique sont présentés dans les graphiques ci-dessous. Les indicateurs de performance  sont visibles dans le dernier tableau, permettant de comparer les valeurs entre les différentes années et scénarios.","Esta hoja presenta los resultados del año base, el escenario BAU y el escenario climático tanto para el transporte por carretera como por ferrocarril, así como para el transporte de pasajeros y de mercancías.\n\nLos resultados de las emisiones comparando el escenario BAU y el escenario climático se muestran en los gráficos siguientes. Los indicadores de rendimiento específicos son visibles en la última tabla, lo que permite comparar los valores entre diferentes años y escenarios."]
["Text15","5B Calculation scenarios","5B Calculation scenarios","5B Calculation scénarios","5B Cálculo de los escenarios"]
["Text16","This tab shows for information the calculation path leading to the results. All results are calculated automatically and require no input.\nCharts are visible in tab 4. Overview of results","This tab shows for information the calculation path leading to the results. All results are calculated automatically and require no input.\nCharts are visible in tab 4. Overview of results","\nCet onglet montre pour information les calculs menant aux résultats. Tous les résultats sont calculés automatiquements et ne requièrent aucun input. \nLes graphiques sont visibles dans l'onglet 4. Overview of results\n","Esta pestaña muestra, a título informativo, la ruta de cálculo que conduce a los resultados. Todos los resultados se calculan automáticamente y no requieren de ninguna entrada.\nLos gráficos son visibles en la pestaña 4. Resumen de los resultados"]
["Text17","4. Default values","4. Default values","4 Valeurs défaut","4. Valores por defecto"]
["Text18","This tab enables users to copy from the national tool or input national values to be proposed as defaults for the city in the input tabs \"2A Input Base and BAU\". This sheet must not be filled in if no national defaults are required and the city has all necessary inputs.","This tab enables users to copy from the national tool or input national values to be proposed as defaults for the city in the input tabs \"2A Input Base and BAU\". This sheet must not be filled in if no national defaults are required and the city has all necessary inputs.","Cet onglet permet aux utilisateurs de copier l'outil national ou les valeurs d'entrée nationales d'entrée qui pourront dès lors être utilisées comme valeurs par défaut pour la ville dans les onglets d'entrée \"2A Input Base and BAU\". Cette feuille ne doit pas nécessairement  être remplie si la ville dispose de toutes les informations nécessaires.","Esta pestaña permite a los usuarios copiar de la herramienta nacional o introducir valores nacionales que se propondrán como valores por defecto para la ciudad en las pestañas de entrada \"2A Input Base and BAU\". Esta hoja no debe rellenarse si no se requieren valores nacionales por defecto y la ciudad tiene todas las entradas necesarias."]
["Text19","6 Defaults parameters",{"$f":"D295","v":"6 Defaults parameters"},"6 Defaults parameters","6 Parámetros por defecto"]
["Text20","The default settings for lower heat values and CO2, CH4 and N2O emission factors are used for all transport sub-sectors. They comply with the IPCC Tier 1 approach and are not country-specific. A great deal of uncertainty arises for CH4 and N2O emissions, which vary greatly depending on traffic conditions in the country. More information can be found in the sources given in the table below.\n\nA modification of the default values implies the entire responsibility of the user.\n","The default settings for lower heat values and CO2, CH4 and N2O emission factors are used for all transport sub-sectors. They comply with the IPCC Tier 1 approach and are not country-specific. A great deal of uncertainty arises for CH4 and N2O emissions, which vary greatly depending on traffic conditions in the country. More information can be found in the sources given in the table below.\n\nA modification of the default values implies the entire responsibility of the user.\n","Les paramètres par défaut pour les valeurs calorifiques inférieures et les facteurs d'émission de CO2, CH4 et N2O sont utilisés pour touts les sous-secteurs du transport. Ils se conforment à l'approche \"Tier 1\" du GIEC et ne sont pas spécifiques au pays. Une grande incertitude en découle pour les émissions de CH4 et N2O, qui varient grandement en fonction des conditions de circulation dans le pays.  Plus d'informations peuvent être trouvées dans les sources données dans le tableau ci-dessous.\n\nUne modification des facteurs par défaut implique la responsabilité entière de l'utilisateur. ","Los ajustes por defecto para los valores de calor más bajos y los factores de emisión de CO2, CH4 y N2O se utilizan para todos los subsectores del transporte. Cumplen con el enfoque del Nivel 1 del IPCC y no son específicos de un país. Surge una gran incertidumbre para las emisiones de CH4 y N2O, que varían mucho dependiendo de las condiciones del tráfico en el país. Se puede encontrar más información en las fuentes que figuran en el cuadro siguiente.\n\nLa modificación de los valores por defecto implica la total responsabilidad del usuario."]
["Text21","7 Sources and abbreviation",{"$f":"D297","v":"7 Sources and abbreviation"},"7 Sources and abbreviation","7 Fuentes y abreviaturas"]
["Example1","Measurement example: additional traffic volume (non-revenue travelers generated by the creation or improvement of a transport infrastructure)","Measurement example: additional traffic volume (non-revenue travelers generated by the creation or improvement of a transport infrastructure)","Exemple de mesure: volume de trafic supplémentaire (voyageurs n'ayant pas pris généré par la création ou l'amélioration d'une infrastructure de transport)","Ejemplo de medición: volumen de tráfico adicional (viajeros sin ingresos generados por la creación o mejora de una infraestructura de transporte)"]
["Scen1","Scenario 1)","Scenario 1)","Scénario 1)","Escenario 1)"]
["Scen2","Scenario 2)","Scenario 2)","Scénario 2)","Escenario 2)"]
["Scen3","Scenario 3)","Scenario 3)","Scénario 3)","Escenario 3)"]
["Tab","Tab","Tab","Onglet","Pestaña"]
["subsector","Sub-sector","Sub-sector","Sous-secteur","Subsector"]
["Input","Data input","Data input","Données à entrer","Entrada de datos"]
["Defaultvalue","Default value","Default value","Valeur par défaut","Valor por defecto"]
["Calculatedcell","Calculated cell","Calculated cell","Valeur calculée","Célula calculada"]
["colourcode","Colour code","Colour code","code couleur","Código de colores"]
["Miopkm","Mio. pkm","Mio. pkm","Mill. Pkm","Mio. pkm"]
["Miotkm","Mio. tkm","Mio. tkm","Mill. Tkm","Mio. tkm"]
["Roadandrail","Road and rail","Road and rail","Route et ferroviaire","Ruta y ferrocarril"]
["Vehcategory","Vehicle category","Vehicle category","Catégorie de véhicule","Categoría del vehículo"]
["PandMcar","Private car (including mixed car)","Private car (including mixed car)","Voiture particulière (inclu voiture mixte)","Coche privado (incluido el coche mixto)"]
["Photo","Photo","Photo","Photo","Foto"]
["ExplPcars","Any motor vehicle intended for passenger transport, the seat capacity does not exceed nine seats (including driver), the total permissible gross weight does not exceed 3,5t.","Any motor vehicle intended for passenger transport, the seat capacity does not exceed nine seats (including driver), the total permissible gross weight does not exceed 3,5t.","Toute automobile destinée au transport de personne, dont le nombre de siège  ne dépasse pas neuf y compris celui du conducteur et dont le poids total autorisé en charge n'excède pas 3,5t. ","Todo vehículo de motor destinado al transporte de pasajeros, la capacidad de los asientos no excede de nueve plazas (incluido el conductor), el peso bruto total permitido no excede de 3,5t."]
["ExplMotoTaxi","Motorcycles which transport passengers in return for payment of a fare (e.g. Go-jek, Grab).","Motorcycles which transport passengers in return for payment of a fare (e.g. Go-jek, Grab).","Motos qui transportent des passagers en échange du paiement d'un tarif (par exemple, Go-jek, Grab).\n","Motocicletas que transportan pasajeros a cambio del pago de una tarifa (por ejemplo, Go-jek, Grab)."]
["ExplAcarsTaxi","Cars which transport passengers in return for payment of a fare and which are typically fitted with a taximeter.","Cars which transport passengers in return for payment of a fare and which are typically fitted with a taximeter.","Voitures qui transportent des passagers contre paiement d'un prix et qui sont généralement équipées d'un taximètre.","Coches que transportan a los pasajeros a cambio del pago de una tarifa y que suelen estar equipados con un taxímetro."]
["ExplMinibus",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Any motor vehicle intended for the collective transport of persons whose number of seats is less than nine, including hirings, collective taxis and rural transportation."},"Any motor vehicle intended for the collective transport of persons whose number of seats is less than nine, including hirings, collective taxis and rural transportation.","Tout véhicule à moteur destiné au transport collectif de personnes dont le nombre de siège est inférieur à neuf, incluant les louages, les taxis collectifs et les transport ruraux","Todo vehículo motorizado destinado al transporte colectivo de personas cuyo número de asientos sea inferior a nueve, incluidos los alquileres, taxis colectivos y el transporte rural."]
["ExplBus","Any motor vehicle intended for the collective transport of persons, the number of seats of which is greater than nine or the permissible total weight exceeds 3.5t.","Any motor vehicle intended for the collective transport of persons, the number of seats of which is greater than nine or the permissible total weight exceeds 3.5t.","Tout véhicule à moteur destiné au transport collectif de personnes, dont le nombre de sièges est supérieur à neuf ou dont le poids total autorisé en charge excède 3,5t","Todo vehículo de motor destinado al transporte colectivo de personas cuyo número de asientos sea superior a nueve o cuyo peso total admisible sea superior a 3,5t."]
["ExplBRT","Bus Rapid Transit (BRT) is a high-quality bus-based transit system. It is typically specified with dedicated lanes, iconic stations, off-board fare collection, and fast and frequent operations.","Bus Rapid Transit (BRT) is a high-quality bus-based transit system. It is typically specified with dedicated lanes, iconic stations, off-board fare collection, and fast and frequent operations.","Le Bus Rapid Transit (BRT) est un système de transport en commun de haute qualité. Il présente généralement des voies et des stations dédiées, une vente de billet hors du véhicule et des passages rapides et fréquentes.","Bus Rapid Transit (BRT) es un sistema de tránsito de alta calidad basado en autobuses. Normalmente se especifica con carriles exclusivos, estaciones emblemáticas, recogida de billetes fuera de bordo y operaciones rápidas y frecuentes."]
["ExpllightLCV","A mostly three-wheeled motorized vehicle used for goods transport.","A mostly three-wheeled motorized vehicle used for goods transport.","Un véhicule à moteur principalement à trois roues utilisé pour le transport de marchandises.","Un vehículo motorizado de tres ruedas utilizado principalmente para el transporte de mercancías."]
["ExplLCV","Motor vehicle intended for the transport of freight, the permissible gross weight does not exceed 3.5t.","Motor vehicle intended for the transport of freight, the permissible gross weight does not exceed 3.5t.","Véhicule à moteur destiné au transport de marchandise dont le poids total autorisé en charge n'excède pas 3,5t","Vehículo de motor destinado al transporte de carga, el peso bruto permitido no excede las 3,5t."]
["ExplSolo","Motor vehicle intended for the transport of freight, the permissible load is up to 10t.","Motor vehicle intended for the transport of freight, the permissible load is up to 10t.","Véhicule automobile destiné au transport de marchandises, dont le poids total autorisé en charge n'excède pas 10 t.","Vehículo de motor destinado al transporte de carga, la carga permitida es de hasta 10t."]
["ExplHtruck","Motor vehicle intended for the transport of freight and the total authorized load exceeds 10t tonnes. Trucks consist of trucks and tractors (truck with trailer).","Motor vehicle intended for the transport of freight and the total authorized load exceeds 10t tonnes. Trucks consist of trucks and tractors (truck with trailer).","Tout véhicule à moteur destiné au transport de marchandise et dont le poid total autorisé en charge excède 10t. Les poids lourds sont consitués des camions et des tracteurs routiers (camion avec remorque)","Vehículo de motor destinado al transporte de carga y la carga total autorizada supera las 10 toneladas. Los camiones se componen de camiones y tractores (camión con remolque)."]
["ExplMotorcycle","A two-wheeled vehicle with an engine.","A two-wheeled vehicle with an engine.","Tout véhicule à deux roue motorisé","Un vehículo de dos ruedas con un motor."]
["ExplPtrain","Passenger train mainly traveling outside the city - long distance train.","Passenger train mainly traveling outside the city - long distance train.","Tout train de passager circulant majoritairement hors-ville: RER ou train grande ligne.","Tren de pasajeros que viaja principalmente fuera de la ciudad - tren de larga distancia."]
["ExplUtrain","Passenger train mainly traveling within the city territory - short distance train.","Passenger train mainly traveling within the city territory - short distance train.","Train de voyageurs voyageant principalement sur le territoire de la ville ou de la région - RER","Tren de pasajeros que viaja principalmente dentro del territorio de la ciudad - tren de corta distancia."]
["ExplMetro","Passenger train mainly traveling within the city territory - Tram and Metro.","Passenger train mainly traveling within the city territory - Tram and Metro.","Tout train circulant majoritairement en ville de type Tramway et metro.","Tren de pasajeros que viaja principalmente dentro del territorio de la ciudad - Tranvía y Metro."]
["ExplFtrain","Any freight train, usually for long distance transport.","Any freight train, usually for long distance transport.","Tout train de marchandise, généralement longue distance","Cualquier tren de carga, generalmente para transporte de larga distancia."]
["RemarkScoot","Remark: Scooters and other two-wheeled vehicles less than 125cc are not included ","Remark: Scooters and other two-wheeled vehicles less than 125cc are not included ","Remarque: Les scooter et autre véhicule à deux roues inférieur à 125 cm3 ne sont pas inclus","Observación: Los scooters y otros vehículos de dos ruedas de menos de 125cc no están incluidos. "]
["ExplND","not applicable/not relevant","not applicable/not relevant","non applicable/non pertinent","no aplicable/no pertinente"]
["ExplIPCC","Intergovernmental panel on Climate Change = Group of intergovernmental Experts on climate change","Intergovernmental panel on Climate Change = Group of intergovernmental Experts on climate change"," Intergovernmental Panel on Climate Change = Groupe d'experts intergouvernemental sur l'évolution du climat","Grupo Intergubernamental de Expertos sobre el Cambio Climático = Grupo de expertos intergubernamentales sobre el cambio climático"]
["LHVabbr","LHV","LHV","PCI","Vehículo largo y pesado"]
["ExplTTW","Tank to wheel: emissions from tank to wheel","Tank to wheel: emissions from tank to wheel","Tank to wheel: émissions du réservoir à la roue","Tanque a rueda: emisiones de tanque a rueda"]
["ExplWTW","Well to wheel: emissions from well to wheel","Well to wheel: emissions from well to wheel","Well to wheel: émissions du puit à la roue","Pozo a rueda: emisiones de pozo a rueda"]
["publictrans","Public transport","Public transport","Transport public","Transporte público"]
["Error","Error","Error","Erreur","Error"]
[]
["Bunker",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"excluding international bunkers"},"excluding international bunkers","excluant bunker internationaux","Emisiones de GEI procedentes del transporte"]
[]
["Graph1",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Modal split freight [based on tkm]"},"Modal split freight [based on tkm]","Part modale marchandise [basé sur tkm]","Carga dividida modal [basado en tkm]"]
["Graph2","Modal split passenger [based on pkm]","Modal split passenger [based on pkm]","Part modale passager [bassé sur pkm]\n","Pasajero con división modal [basado en pkm]"]
["Graph3","Emission of transportation [1000 t GHG] ","Emission of transportation [1000 t GHG] ","Emission des transports en GES [1000 t GHG] ","Emisión de transporte en GEI "]
["Roadtrans","Road transport","Road transport","Transport routier","Transporte por Ruta"]
["Graph4","Vkt individual passenger transport [Mio. km]","Vkt individual passenger transport [Mio. km]","Vkt transport passager individuel [Mill. km]","Kilómetros recorriods por vehículo (Vkt) transporte individual de pasajeros [Mio. km]"]
["Graph7","Inventory of GHG emissions from transportation ","Inventory of GHG emissions from transportation ","Inventaire d'émissions de GES du transport ","Inventario de las emisiones de GEI procedentes del transporte "]
["Graph5","Vkt freight [Mio. km]","Vkt freight [Mio. km]","Vkt du transport de marchandises [Mill. km]\n","Carga kiómetros recorridos por vehículo (Vkt) [Mio. km]"]
["ktoe","Consumption in ktoe","Consumption in ktoe","Consommation [ktep]","Consumo en ktoe"]
["inventory","GHG emissions inventory","GHG emissions inventory","Inventaire d'émissions de GES du transport\n","Inventario de emisiones de GEI"]
["Methodology","Methodology","Methodology","Méthodologie","Metodología"]
["GHGcompare","Comparison of GHG emissions","Comparison of GHG emissions","Comparaison des émissions de GES \n","Comparación de las emisiones de GEI"]
["climatepass","Climate Passenger","Climate Passenger","Climat Passager","Pasajero climático"]
["climatefreight","Climate Freight","Climate Freight","Climat Marchandise","Carga Climática"]
["unitgraph","GHG in thousand tCO2e ","GHG in thousand tCO2e ","GES en milliers de tCO2e \n","GEI en miles de tCO2e "]
["avoidedGHGcum","Avoided cumulated GHG ","Avoided cumulated GHG ","GES évitées cumulées ","Acumulado de GEI  evitados"]
["freight","Freight","Freight","Marchandise","Carga"]
["BAU","Business-as-usual","Business-as-usual","au fil de l'eau","Business-as-usual"]
["Miokm","Mio. Km","Mio. Km","Mill. Km","Mio. Km"]
["avoidedGHG","Avoided GHG ","Avoided GHG ","GES évitées","GEI evitados"]
["Climat","Climate","Climate","Climat","Clima"]
["RedGHGpass","GHG emission reductions - passenger transport","GHG emission reductions - passenger transport","Réduction des GES - passagers ","Reducción de las emisiones de GEI - transporte de pasajeros"]
["RedGHGfr","GHG emission reductions - freight transport","GHG emission reductions - freight transport","Réduction des GES - marchandises ","Reducción de las emisiones de GEI - transporte de mercancías"]
["avoidtransfer","Avoid/Transfer","Avoid/Transfer","Eviter/transférer","Evitar/Transferir"]
["Improve","Improve","Improve","Améliorer","Mejorar"]
["BRT","BRT","BRT","BHNS","BRT"]
["Transportperformancebase","Transport performance base [Mio. pkm]","Transport performance base [Mio. pkm]","Performances de transport initiales [Mill. pkm]","Base de rendimiento de transporte [Mio. pkm]"]
["Mototaxi","Motorcycle taxi","Motorcycle taxi","Moto taxi","Mototaxi"]
["Threewheel","Three wheelers","Three wheelers","Véhicule à trois roues","Triciclos"]
["Occupancyratescen","Occupancy rate [Passengers/vehicle]","Occupancy rate [Passengers/vehicle]","Taux d'occupation des véhicules [Personnes/véhicule]","Tasa de ocupación [Pasajeros/vehículo]"]
["lightLCV","Truck < 3.8 ton","Truck < 3.8 ton","Véhicule très léger de livraison","Vehículo comercial muy ligero"]
[]
["Inmile",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Increase in vkt in the period [Mio km]"},"Increase in vkt in the period [Mio km]","Augmentation du vkt dans la période [Mill km]","Aumento de los kilómetros recorridos por vehículo (vkt) en el período [Mio km]"]
["Graph6","Vkt public transport [Mio. km]","Vkt public transport [Mio. km]","Vkt transport public [Mill. Km]","Kilómetros recorridos por vehículo (vkt) transporte público [Mio. km]"]
["Transportperformancefreight","Transport performance [Mio. tkm]","Transport performance [Mio. tkm]","Performance de transport [Mill tkm]","Rendimiento del transporte [Mio. tkm]"]
["loadfactormax","Maximum load factor [tons/vehicle]","Maximum load factor [tons/vehicle]","Taux de charge maximum [tons/vehicle]","Factor de carga máximo [toneladas/vehículo]"]
["country","Country","Country","pays","País"]
["City","City","City","Ville","Ciudad"]
["Topdownvalidation","2B Top-Down Validation Approach","2B Top-Down Validation Approach","2B Approche de validation top-down","2B Enfoque de validación de arriba hacia abajo"]
["GDP","Gross domestic product (GDP)","Gross domestic product (GDP)","Produit Intérieur Brut (PIB)","Producto interno bruto (PIB)"]
["Mileageapp","1. Vkt approach","1. Vkt approach","1. Approche kilométrique","1. Enfoque Vkt"]
["Fleetapproach","2. Fleet approach","2. Fleet approach","2. Approche de la flotte de véhicules","2. Enfoque de flota "]
["transportrandr","Transport (sum of road and rail)","Transport (sum of road and rail)","Transport (somme route et rail)","Transporte (suma de Ruta y ferrocarril)"]
["kerosene","Biofuels","Biofuels","Biocarburants","Biocombustibles"]
["energybalance","Energy Balance\n[1000 TOE]","Energy Balance\n[1000 TOE]","Bilan énergétique [1000 TEP]","Equilibrio energético\r\n(1000 TOE)"]
["calculated1000TOE","Calculated [1000 TOE]","Calculated [1000 TOE]","Calculé [1000 TEP]","Calculado (1000 TOE)"]
["gap","gap","gap","différence","Diferencia"]
["transporttout","1 A3 Transport energy consumption [1000  TOE]\n","1 A3 Transport energy consumption [1000  TOE]\n","1 A3 Consommation d'énergie transport [1000 TEP]\n","1 A3 Transporte (excluidas las reservas internacionales)\r\n"]
["Roadtransport","1A3b Energy consumption road transport  [1000  TOE]\n","1A3b Energy consumption road transport  [1000  TOE]\n","1A3b Consommation d'énergie transport routier  [1000  TEP]","1A3b Transporte por Ruta\r\n"]
["Railtransport","1A3c Energy consumption rail transport  [1000  TOE]","1A3c Energy consumption rail transport  [1000  TOE]","1A3c Consommation d'énergie transport ferroviaire  [1000  TEP]","1A3c Transporte ferroviario"]
["planningtool","WITH UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA FROM EXTERNAL TRANSPORT PLANNING TOOL","WITH UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA FROM EXTERNAL TRANSPORT PLANNING TOOL","AVEC CALCUL PRÉALABLE-  LOGICIEL DE PLANNIFICATION DES TRANSPORTS","CON CÁLCULOS PREVIOS - DATOS DE LA ACTIVIDAD DE TRANSPORTE DE LA HERRAMIENTA DE PLANIFICACIÓN DEL TRANSPORTE EXTERNO"]
["Avoidshift","1 & 2 )AVOID & SHIFT ","1 & 2 )AVOID & SHIFT ","1 & 2 ) Eviter & Transférer","1 & 2 )EVITAR Y CAMBIAR "]
["withoutplanning","WITHOUT UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA CALCULATIONS WITHIN THIS TOOL","WITHOUT UPSTREAM CALCULATIONS - TRANSPORT ACTIVITY DATA CALCULATIONS WITHIN THIS TOOL","SANS CALCUL PRÉALABLE- CALCUL DES DONNÉES D'ACTIVITÉ DES TRANSPORTS DANS CET OUTIL","SIN CÁLCULOS PREVIOS - CÁLCULOS DE DATOS DE ACTIVIDAD DE TRANSPORTE DENTRO DE ESTA HERRAMIENTA"]
["Descri85","For the mode shift it is mandatory to define the the share of passengers shifting from the origin vehicle category to the destination vehicle category in the tables below, if additional vkt was entered in the tbale above.","For the mode shift it is mandatory to define the the share of passengers shifting from the origin vehicle category to the destination vehicle category in the tables below, if additional vkt was entered in the tbale above.","Pour chaque catégorie de véhicule, indiquez la part des passagers en provenance d'une autre catégorie de véhicules dans le tableau de smodes d'origine en %  (par exemple, la part des personnes en provenance de la voiture qui sont des passagers d'un nouveau bus).","Para el cambio de modo es obligatorio definir en los cuadros que figuran a continuación la proporción de pasajeros que pasan de la categoría de vehículo de origen a la categoría de vehículo de destino, si se introdujeron los kilómetros recorridos por vehículo (vkt) adicionales en el cuadro anterior."]
["addmileage","Additional vkt [Mio. km]","Additional vkt [Mio. km]","Vkt additionnels [Mill. km]","Kilómetros recorriodos por vehículo (vkt) adicionales [Mio.km]"]
["goaltransportmode","Goal transport mode","Goal transport mode","Mode de transport final ","Modo de transporte final"]
["avtriplength","Av. BAU trip length (km)","Av. BAU trip length (km)","Longueur de trajet moyen du BAU (km)","Longitud del viaje de la BAU (km)"]
["fretorigin","Origin mode of the shifted tkm  [%]","Origin mode of the shifted tkm  [%]","Mode d'origine du frêt transféré en tonne-kilomètre [%]","Modos originales de los tkm desplazados [%]"]
["Graph9","avoided cumulative GHGs ","avoided cumulative GHGs ","GES évitées cumulées ","Acumulado de GEI evitados "]
["Graph8","Total GHG emissions for passenger and freight transport ","Total GHG emissions for passenger and freight transport ","Somme des emissions de GES totales pour le transport de passager et le frêt ","Emisiones totales de GEI para el transporte de pasajeros y mercancías "]
["Graph10","GHG in thousands of tCO2e","GHG in thousands of tCO2e","GES en milliers de tCO2e\n","GEI en miles de tCO2e"]
["text91","If you are a country and you stipulated it in the \"Get Started\" sheet, default values are shown below. These data can be forwaded to cities within your country and/or to the MYC Secretariat in order to be used as defaults.","If you are a country and you stipulated it in the \"Get Started\" sheet, default values are shown below. These data can be forwaded to cities within your country and/or to the MYC Secretariat in order to be used as defaults.","Si vous êtes un pays et que vous l'avez stipulé dans l'onglet  \"Get Started\", des valeurs par défaut sont indiquées ci-dessous. Ces données peuvent être transmises aux villes de votre pays et / ou au Secrétariat MYC afin d'être utilisées comme défauts.","Si es un país y lo estipuló en la hoja de \"Inicio\", los valores por defecto se muestran a continuación. Estos datos pueden ser enviados a las ciudades de su país y/o a la Secretaría del MYC para ser usados como valores por defecto."]
["Results","Results","Results","Résultats","Resultados"]
["text92","If you are  a city, get in contact with MYC to ask, if your country has already filled in the tool and get the tab \"5. Default value\" from the national tool and copy directly the data into this sheet (easy copy paste). They will appear automatically in 2A Input Base and BAU if you stippulated that you are a city in \"Get started\". ","If you are  a city, get in contact with MYC to ask, if your country has already filled in the tool and get the tab \"5. Default value\" from the national tool and copy directly the data into this sheet (easy copy paste). They will appear automatically in 2A Input Base and BAU if you stippulated that you are a city in \"Get started\". ","Si vous êtes une ville, contactez MYC pour demander si votre pays a déjà utilisé l'outil et demandez l'onglet \"5. Valeur par défaut\" de l'outil national et copiez directement les données dans cette feuille (copier-coller simple). Ces valeurs défauts apparaitront alors automatiquement dans 2A Input Base et BAU si vous avez indiqué que vous êtes une ville dans le premier onglet \"Get started\"\n","Si usted es una ciudad, póngase en contacto con MYC para preguntar si su país ya ha rellenado la herramienta y obtenga la pestaña \"5. Valor por defecto\" de la herramienta nacional y copie directamente los datos en esta hoja (easy copy paste). Aparecerán automáticamente en la base de datos 2A y en la BAU si ha  estipulado que es una ciudad en \"Get started\". "]
["Overviewres",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Overview of results"},"Overview of results","Apercu des résultats","Resumen de los resultados"]
["resultstrans","Results of the transport demand measures","Results of the transport demand measures","Résultats des mesures concernant la demande de transport","Resultados de las medidas de demanda de transporte"]
["Passpvehic","Passengers/vehicle","Passengers/vehicle","passagers/véhicule","Pasajeros/vehículo"]
["OccupancyLoad","Average occupancy and load","Average occupancy and load","Taux d'occupation ou de charge moyen ","Ocupación y carga media"]
["MethodologyContent","Methodology and content:","Methodology and content:","Methodologie et contenu:","Metodología y contenido:"]
["BillionUSD","Bin USD ","Bin USD ","Mrd USD","Miles de millones de dólares"]
["Occupancy","Occupancy rate","Occupancy rate","Taux d'occupation","Tasa de ocupación"]
["Load","Load","Load","Taux de charge","Cargar"]
["abbreviation","Abbreviation","Abbreviation","Abbréviation","Abreviatura"]
["RoadEthanol","Road - Ethanol","Road - Ethanol","Route-éthanol","Ruta - Etanol"]
["RoadBiodiesel","Road - Biodiesel","Road - Biodiesel","Route-Biodiesel","Ruta - Biodiesel"]
["RoadBioNG","Road - Bio NG","Road - Bio NG","Route-Bio GN","Ruta - Bio NG"]
["RoadBioLPG","Road - Bio LPG","Road - Bio LPG","Route-bio GPL","Ruta - Bio GLP"]
["RailBioDiesel","Rail - Biodiesel","Rail - Biodiesel","Rail-Biodiesel","Ferrocarril - Biodiesel"]
["Biofuelshead","3.v) Share of biofuels (based on the energy content) in both scenarios","3.v) Share of biofuels (based on the energy content) in both scenarios","3.v) Part des biocarburants (basée sur le contenu énergétique) dans les deux scénarios","3.v) Cuota de biocombustibles (basada en el contenido energético) en ambos escenarios"]
["Biofuelsdescri","Description: Please enter the energy consumption based share of biofuels for the reference year and for future years for road and rail transport.","Description: Please enter the energy consumption based share of biofuels for the reference year and for future years for road and rail transport.","Description: Veuillez saisir la part des biocarburants basée sur la consommation d'énergie pour l'année de référence et les années futures pour le transport routier et ferroviaire.","Descripción: Por favor, introduzca la cuota basada en el consumo de energía de biocombustibles para el año de referencia y para los años futuros para el transporte por Ruta y ferrocarril."]
["Biofuelsexample","Example: With an user input of 10 % biofuels for Road Diesel in the table below 10 % of the energy consumption would be covered by biodiesel and 90 % would be covered by conventional diesel.","Example: With an user input of 10 % biofuels for Road Diesel in the table below 10 % of the energy consumption would be covered by biodiesel and 90 % would be covered by conventional diesel.","Exemple: Avec une entrée d'utilisateur de 10% de biocarburants pour le diesel routier dans le tableau ci-dessous, 10% de la consommation d'énergie serait couverte par le biodiesel et 90% serait couverte par le diesel conventionnel.","Ejemplo: Con una aportación de los usuarios del 10% de biocombustibles para el diésel de Ruta en el cuadro que figura a continuación, el 10% del consumo de energía se cubriría con biodiésel y el 90% con diésel convencional."]
["Biofuelstitle","Energy consumption based share of biofuels","Energy consumption based share of biofuels","Part des biocarburants basée sur la contenu énergétique","Cuota de biocombustibles basada en el consumo de energía"]
["Note1","Please note:","Please note:","Notez:","Por favor, tenga en cuenta:"]
["Note2","Please note: \nAll required input data for step 2 \"Shift\" is entered.\nPlease proceed.","Please note: \nAll required input data for step 2 \"Shift\" is entered.\nPlease proceed.","Notez:\nToutes les données d'entrée pour l'étape 2 \"Transférer\" sont saisies\nContinuez","Por favor, tenga en cuenta: \nSe han introducido todos los datos necesarios para el paso 2 \"\"Cambiar\"\".\nPor favor, proceda."]
["originmode","Origin mode of transportation of new PT passengers [% of the trips]","Origin mode of transportation of new PT passengers [% of the trips]","Mode d'origine des nouveaux passagers du TCP [% des trajets]","Modo de transporte original de los nuevos pasajeros del TCP [% de los viajes]"]
["donottouch","Do not touch - for graphic purposes","Do not touch - for graphic purposes","Ne pas toucher - valeur pour graphique","No tocar - para propósitos gráficos"]
["KPI","Key performance indicators","Key performance indicators","Indicateurs clefs de performance","Indicadores clave de rendimiento"]
["GHGBAU","Total GHG emissions BAU scenario ","Total GHG emissions BAU scenario ","Total des émissions de GES des transports BAU scénario ","Emisiones totales de GEI Escenario BAU "]
["GHGclimat","Total GHG emissions climate scenario ","Total GHG emissions climate scenario ","Total des émissions de GES des transports scénario climat ","Emisiones totales de GEI escenario climático "]
["difGHG","Difference of GHG emissions between BAU & climate scenario ","Difference of GHG emissions between BAU & climate scenario ","Difference des émissions de GES entre le scénario BAU & climat ","Diferencia de las emisiones de GEI entre la BAU y el escenario climático "]
["KPIdesc","You can find below key indicators to assess the level of emission in your country/city for the scenarios out of the calculation carried out in this tool. The compulsory indicators for MYC projects are indicated inthe bold green frame. Some indicators have only green fields i.e. the results are not calculated within the present tool, so data must then be entered by the users. This is due to the fact that they are required by the MYC monitoring plan, but they are not calculated by the present tool (number of fatal accidents, number of persons withtin the service area, average commercial speed)","You can find below key indicators to assess the level of emission in your country/city for the scenarios out of the calculation carried out in this tool. The compulsory indicators for MYC projects are indicated inthe bold green frame. Some indicators have only green fields i.e. the results are not calculated within the present tool, so data must then be entered by the users. This is due to the fact that they are required by the MYC monitoring plan, but they are not calculated by the present tool (number of fatal accidents, number of persons withtin the service area, average commercial speed)","Vous trouverez ci-dessous des indicateurs clés (KPI - Key Performance Indicators) permettant d'évaluer le niveau d'émission dans votre pays/ville pour les scénarios calculés dans le présent outil. Les indicateurs obligatoires pour les projets MYC sont indiqués dans le cadre vert en gras. Certains indicateurs n'ont que des champs verts, c'est-à-dire que les résultats ne sont pas calculés dans le présent outil, les données doivent donc être saisies par les utilisateurs. Cela est dû au fait qu'ils sont requis par le plan de suivi du PPM, mais qu'ils ne sont pas calculés par le présent outil (nombre d'accidents mortels, nombre de personnes se trouvant dans la zone de service, vitesse commerciale moyenne).","A continuación encontrará indicadores clave de rendimiento (KPI) para evaluar el nivel de emisiones en su país/ciudad para los escenarios calculados en esta herramienta. Los indicadores obligatorios para los proyectos MYC se indican en el recuadro verde en negrita. Algunos indicadores sólo tienen campos verdes, es decir, los resultados no se calculan en esta herramienta, por lo que los datos deben ser introducidos por los usuarios. Esto se debe a que son requeridos por el plan de control del MPP, pero no son calculados por esta herramienta (número de accidentes mortales, número de personas en el área de servicio, velocidad comercial media)."]
["addipkm","Additional pkm [MioPkm]","Additional pkm [MioPkm]","pkm additionnels [MioPkm]","pkm adicionales [Mio. Pkm]"]
["redpkm","Reduced pkm [Mio Pkm]","Reduced pkm [Mio Pkm]","pkm supprimés [Mio Pkm]","pkm reducidos [Mio.Pkm]"]
["Name","Name","Name","Nom","Nombre"]
["Warning","Please note that you should enter data manually and not copy the cells into the designated input data fields (in green) as it damages the automatic error detection and the layout.","Please note that you should enter data manually and not copy the cells into the designated input data fields (in green) as it damages the automatic error detection and the layout.","Veuillez noter que vous devez saisir les données manuellement et ne pas copier les cellules dans les champs de données de saisie désignés (en vert), car cela nuit à la détection automatique des erreurs et à la mise en page.","Tenga en cuenta que debe introducir los datos manualmente y no copiar las celdas en los campos de datos de entrada designados (en verde), ya que perjudica la detección automática de errores y el diseño."]
["cumul","The GHG emissions are cumulated on a linear hypothesis (linear regression between 2 reference years) and add up all the emissions avoided year by year from the base year to the year presented.","The GHG emissions are cumulated on a linear hypothesis (linear regression between 2 reference years) and add up all the emissions avoided year by year from the base year to the year presented.","Les émissions de GES sont cumulées sur une hypothèse d'implantation linéaire (régression linéaire entre 2 années) et additionnent toutes les émissions évitées années par années depuis l'année de base jusque l'année présentée","GHG emissions are aggregated on a linear implementation assumption (linear regression between 2 years) and add up all avoided emissions year by year from the base year to the year presented"]
["consoTOE",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Domestic fuel consumption\nin 1000 TOE\n"},"Domestic fuel consumption\nin 1000 TOE\n","Consommation domestique de fuel \nen 1000 TEP","Consumo de combustible doméstico\nen 1000 TOE"]
["ttghg"," 1000 t GHG "," 1000 t GHG "," 1000 t GES ","1000t GEI "]
["disabledinput","Data input disabled","Data input disabled","Données d'entrée désactivées","Entrada de datos deshabilitada"]
["warning1","Please consider that the latest year that can be calculated is 2010","Please consider that the latest year that can be calculated is 2010","Veuillez noter que l'année la plus ancienne qui peut être calculée est 2010","Tenga en cuenta que el año más antiguo que se puede calcular es 2010"]
["VLCV","Very light commercial vehicle","Very light commercial vehicle","Véhicule très léger de livraison","Vehículo comercial muy ligero"]
["Hydrogen","Hydrogen","Hydrogen","Hydrogène ","Hidrógeno"]
["RoadHydrogen","Road - Hydrogen","Road - Hydrogen","Route - Hydrogène","Ruta - Hidrógeno"]
["additkm","Additional tkm (Mio tkm)","Additional tkm (Mio tkm)","tkm additionnels (Mio tkm)","Tkm adicionales"]
["Ltruck","Light truck","Light truck","Camion léger","Camión ligero"]
["Coach","Coach","Coach","Autocar","Autocar"]
["cargobike","Cargo bike","Cargo bike","Vélo cargo","bicicleta de carga\n"]
["none","none ","none ","aucun","ninguno"]
["PCI","Energy density","Energy density","Densité énergétique","Densidad de energía"]
["LNG","LNG","LNG","GNL","GNL"]
["RLNG","Road - LNG","Road - LNG","Road - GNL","Ruta - GNL"]
["CO2ecalc","Calculated CO2e [1000 t]","Calculated CO2e [1000 t]","CO2e calculés [1000 t]","CO2e calculado [1000 t]"]
["transportCO2","1A3 Transport GHG emissions [1000 t]\n","1A3 Transport GHG emissions [1000 t]\n","1A3 GES du transport [1000 t]\n","1A3 GEI del Transporte [1000 t]\n"]
["RoadCO2","1A3b Road transport GHG emissions [1000 t]\n","1A3b Road transport GHG emissions [1000 t]\n","1A3b GES du transport routier [1000 t]\n","1A3b GEI del Transporte por Ruta [1000 t]\n"]
["RailCO2","1A3c Rail transport GHG emission[1000 t]","1A3c Rail transport GHG emission[1000 t]","1A3c GES du transport ferroviaire[1000 t]\n","1A3c GEI del Transporte ferroviario"]
["Descri86","1) Timeline","1) Timeline","1) Temporarlité","1) Línea de tiempo"]
["Descri87","Target year","Target year","Années cibles","Año objetivo"]
["Descri88","Description: Please define the target years for the project. You can choose up to 5 years for which GHG emissions are shown.\n","Description: Please define the target years for the project. You can choose up to 5 years for which GHG emissions are shown.\n","Description: Veuillez définir les années cibles pour le projet. Vous pouvez choisir jusqu'à 5 ans pour lesquels les émissions de GES sont affichées.","Descripción: Defina los años objetivo para el proyecto. Puede elegir hasta 5 años para los que se muestran las emisiones de GEI."]
["money","Million dollars","Million dollars","Million euros","Million pesos"]
["Railhy","Rail - Hydrogen","Rail - Hydrogen","Ferroviaire - Hydrogène","Ferrocarril - Hidrógeno"]
["Descri89","OPTIONAL - The average trip length is only used as a weighting factor for the modal shift in the climate passenger scenario (Tab 3.A). Enter the average trip length for all modes (Baseline or Scenario modes) concerned by the shift","OPTIONAL - The average trip length is only used as a weighting factor for the modal shift in the climate passenger scenario (Tab 3.A). Enter the average trip length for all modes (Baseline or Scenario modes) concerned by the shift","OPTIONNEL - La longueur moyenne des trajets n'est utilisée que comme facteur de pondération pour le transfert modal dans le scénario climatique passager (fueille 3A)\". Saisir la longueur moyenne du trajet pour tous les modes (modes de référence ou modes du scénario) concernés par le transfert modal.","OPCIONAL - La duración media del viaje sólo se utiliza como factor de ponderación para la transferencia modal en el escenario climático de pasajeros (ventana 3A)\". Introduzca la duración media del viaje para todos los modos (modos de referencia o modos del escenario) implicados en la transferencia modal."]
["descri91","Remark: The fuel consumption of vehicles for each type of fuel should be coherent between the different years as the change in fuel consumption in previous year may obvisously show impacts in the following years. The user must ensure that data input are realistic with the fleet composition and its evolution.","Remark: The fuel consumption of vehicles for each type of fuel should be coherent between the different years as the change in fuel consumption in previous year may obvisously show impacts in the following years. The user must ensure that data input are realistic with the fleet composition and its evolution.","Remarque : La consommation de carburant des véhicules pour chaque type de carburant doit être cohérente entre les différentes années, car l'évolution de la consommation de carburant au cours de l'année précédente peut, à l'évidence, avoir des répercussions sur les années suivantes. L'utilisateur doit s'assurer que les données introduites sont réalistes par rapport à la composition de la flotte et à son évolution.","Observación: El consumo de combustible de los vehículos para cada tipo de combustible debe ser coherente entre los diferentes años, ya que el cambio en el consumo de combustible en el año anterior puede mostrar obviamente impactos en los años siguientes. El usuario debe asegurarse de que los datos introducidos son realistas con la composición de la flota y su evolución."]
["abbr1","BAU","BAU","BAU","BAU"]
["abbr3","GDP","GDP","BIP","PIB"]
["abbr4","GHG","GHG","GES","GEI"]
["abbr5","IPCC","IPCC","GIEC","IPCC"]
["abbr6","KPI","KPI","ICP","ICR"]
["abbr12","VKT","VKT"]
["abbr2",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"ICP"},"ICP","Indicateurs Clés de Performance","Indicadores Clave de Rendimiento"]
["abbr14","Greenhousg gas","Greenhousg gas","Gas à effet de serre","gases con efecto invernadero "]
["vkt","vehicle kilometers","vehicle kilometers","véhicule kilomètres","vehículo kilómetro "]
["Descri92","Negative emissions are savings, positive emissions are additional emissions","Negative emissions are savings, positive emissions are additional emissions","Les émissions négatives sont des économies, les émissions positives sont des émissions supplémentaires.","Las emisiones negativas son ahorros, las positivas son emisiones adicionales"]
["Descri93","A coach (or motorcoach) is a bus used for longer-distance service. Often used for touring, intercity, and international bus service, coaches are also used for private charter for various purposes.","A coach (or motorcoach) is a bus used for longer-distance service. Often used for touring, intercity, and international bus service, coaches are also used for private charter for various purposes.","Un autocar est un autobus utilisé pour le transport sur de longues distances. Souvent utilisés pour les voyages touristiques, les services d'autobus interurbains et internationaux, les autocars sont également utilisés pour l'affrètement privé à diverses fins","Un autocar (o motocarro) es un autobús utilizado para servicios de larga distancia. A menudo se utiliza para el servicio de autobuses turísticos, interurbanos e internacionales, pero los autocares también se utilizan para el chárter privado con diversos fines."]
["Text25","The sheet has to be filled in from the top to the bottom.\nPlease note that you have to choose between the approach \"with upstream calculations\" and the approach \"without upstream calculations\" (sections 1 Avoid and 2 Shift). If you fill in both, the tool might not work properly!\nSections 3 and 4 (Improve) can be filled in regardless of the chosen approach. If a vehicle and/or fuel type not used in the BAU is entered above, the information concerning this new type has to be given in sections 3 and/or 4.","The sheet has to be filled in from the top to the bottom.\nPlease note that you have to choose between the approach \"with upstream calculations\" and the approach \"without upstream calculations\" (sections 1 Avoid and 2 Shift). If you fill in both, the tool might not work properly!\nSections 3 and 4 (Improve) can be filled in regardless of the chosen approach. If a vehicle and/or fuel type not used in the BAU is entered above, the information concerning this new type has to be given in sections 3 and/or 4.","La feuille doit être remplie de haut en bas.\nVeuillez noter que vous devez choisir entre l'approche \"avec calcul préalable\" et l'approche \"sans calcul préalable\" (sections 1 Éviter et 2 Transférer). Si vous remplissez les deux, l'outil risque de ne pas fonctionner correctement !\nLes sections 3 et 4 (Améliorer) peuvent être remplies indépendamment de l'approche choisie. Si un type de véhicule et/ou de carburant non utilisé dans le BAU est saisi ci-dessus, les informations concernant ce nouveau type doivent être fournies dans les sections 3 et/ou 4.","La hoja debe rellenarse de arriba abajo.\nTenga en cuenta que debe elegir entre el enfoque \"con cálculo previos\" y \"sin cálculo previos\" (secciones 1 Evitar y 2 Cambio de transporte). Si rellena ambos, es posible que la herramienta no funcione correctamente.\nLas secciones 3 y 4 (Mejorar) pueden rellenarse independientemente del enfoque elegido. Si se introduce un tipo de vehículo y/o combustible no utilizado en el BAU anterior, deberá facilitarse información sobre este nuevo tipo en las secciones 3 y/o 4."]
["ITrans","Individual road passenger transport","Individual road passenger transport","Transport routier individuel de passager","Transporte individual de viajeros por carretera"]
["CTrans","Collective road passenger transport","Collective road passenger transport","Transport routier collectif de passager","Transporte colectivo de viajeros por carretera"]
["CRailTrans","Rail passenger transport","Rail passenger transport","Transport ferroviaire de passager","Transporte ferroviario de pasajeros"]
["FTrans","Road freight transport","Road freight transport","Transport routier de marchandise","Transporte de mercancías por carretera"]
["FRailTrans","Rail freight transport","Rail freight transport","Transport ferroviaire de marchandise","Transporte ferroviario de mercancías"]
["Custom","Custom vehicle type","Custom vehicle type","Type de véhicule personnalisé","Tipo de vehículo personalizado"]
["Descri94","1 Vehicles and Fuels","1 Vehicles and Fuels","1 Véhicules et carburants","1 Vehículos y combustibles"]
["Descri95","1) Vehicle type selection","1) Vehicle type selection","1) Sélection des types de véhicules","1) Selección del tipo de vehículo"]
["Descri96","1.i) Individual road passenger transport","1.i) Individual road passenger transport","1.i) Transport routier individuel de passager","1.i) Transporte individual de viajeros por carretera"]
["Descri97","1.ii) Collective road passenger transport","1.ii) Collective road passenger transport","1.ii) Transport routier collectif de passager","1.ii) Transporte colectivo de viajeros por carretera"]
["Descri98","1.iii) Rail passenger transport","1.iii) Rail passenger transport","1.iii) Transport ferroviaire de passager","1.iii) Transporte ferroviario de pasajeros"]
["Descri99","1.iv) Road freight transport","1.iv) Road freight transport","1.iv) Transport routier de marchandise","1.iv) Transporte de mercancías por carretera"]
["Descri100","1.v) Rail freight transport","1.v) Rail freight transport","1.v) Transport ferroviaire de marchandise","1.v) Transporte ferroviario de mercancías"]
["Descri101","2) Fuel type selection","2) Fuel type selection","2) Sélection des types de carburant","2) Selección de los tipos de combustible"]
["VType","Vehicle type","Vehicle type","Type de véhicule","Tipo de vehículo"]
["Descri102","Enter custom vehicle type here","Enter custom vehicle type here","Entrez le type de véhicule personnalisé ici","Introduzca aquí el tipo de vehículo personalizado"]
["Descri103","Vehicle type used by the tool","Vehicle type used by the tool","Type de véhicule utilisé par l'outil","Tipo de vehículo utilizado por la herramienta"]
["Descri104","On this sheet, you have to define all combinations of vehicle and fuel types to be used in the following. Please select at first the vehicle types before specifying the respective fuel types.","On this sheet, you have to define all combinations of vehicle and fuel types to be used in the following. Please select at first the vehicle types before specifying the respective fuel types.","Sur cette feuille, vous devez définir toutes les combinaisons de types de véhicules et de carburants à utiliser dans l'outil. Veuillez sélectionner d'abord les types de véhicules avant de spécifier les types de carburant respectifs.","En esta hoja, tiene que definir todas las combinaciones de tipos de vehículos y combustibles que se utilizarán a continuación. Seleccione primero los tipos de vehículo antes de especificar los tipos de combustible respectivos."]
["Descri105","Please define the vehicle types to be used by the tool. You can either choose from the pre-defined vehicle types or select \"custom vehicle type\" from the dropdown menu. In the latter case, you should enter the custom vehicle type in column C. Please make sure that the custom vehicle type you enter matches the specified category (e.g. the vehicle type \"high speed train\" should be entered in the category \"rail passenger transport\"). For custom vehicle types, you also have to specify in column D the corresponding common reporting format (CRF) code (used by the IPCC) to allow for correct accounting of the emissions. The CRF codes are defined as follows:\n1.A.3.b.i: road - car\n1.A.3.b.ii: road - light commercial vehicle\n1.A.3.b.iii: road - trucks and busses\n1.A.3.b.iv: road - motorcycles\n1.A.3.c: rail","Please define the vehicle types to be used by the tool. You can either choose from the pre-defined vehicle types or select \"custom vehicle type\" from the dropdown menu. In the latter case, you should enter the custom vehicle type in column C. Please make sure that the custom vehicle type you enter matches the specified category (e.g. the vehicle type \"high speed train\" should be entered in the category \"rail passenger transport\"). For custom vehicle types, you also have to specify in column D the corresponding common reporting format (CRF) code (used by the IPCC) to allow for correct accounting of the emissions. The CRF codes are defined as follows:\n1.A.3.b.i: road - car\n1.A.3.b.ii: road - light commercial vehicle\n1.A.3.b.iii: road - trucks and busses\n1.A.3.b.iv: road - motorcycles\n1.A.3.c: rail","Veuillez définir les types de véhicules qui seront utilisés par l'outil. Vous pouvez soit choisir parmi les types de véhicules prédéfinis, soit sélectionner \"type de véhicule personnalisé\" dans le menu déroulant. Dans ce dernier cas, vous devez saisir le type de véhicule personnalisé dans la colonne C. Veuillez vous assurer que le type de véhicule personnalisé que vous saisissez correspond à la catégorie spécifiée (par exemple, le type de véhicule \"train à grande vitesse\" doit être saisi dans la catégorie \"transport ferroviaire de passagers\"). Pour les types de véhicules personnalisés, vous devez également indiquer dans la colonne D le code correspondant du format commun de déclaration (CRF) (utilisé par le GIEC) afin de permettre une comptabilisation correcte des émissions. Les codes CRF sont définis comme suit :\n1.A.3.b.i: route - voiture\n1.A.3.b.ii: route - camionnette\n1.A.3.b.iii: route - camion et bus\n1.A.3.b.iv: route - motocyclette\n1.A.3.c: ferroviaire","Defina los tipos de vehículos que utilizará la herramienta. Puede elegir entre los tipos de vehículos predefinidos o seleccionar \"tipo de vehículo personalizado\" en el menú desplegable. En este último caso, debe introducir el tipo de vehículo personalizado en la columna C. Asegúrese de que el tipo de vehículo personalizado que introduce coincide con la categoría especificada (por ejemplo, el tipo de vehículo \"tren de alta velocidad\" debe introducirse en la categoría \"transporte ferroviario de pasajeros\"). En el caso de los tipos de vehículos personalizados, también debe especificar en la columna D el código del formato común de notificación (CRF) correspondiente (utilizado por el IPCC) para permitir la contabilización correcta de las emisiones. Los códigos CRF se definen como sigue\n1.A.3.b.i: carretera - automóvil\n1.A.3.b.ii: carretera - vehículo comercial ligero\n1.A.3.b.iii: carretera - camiones y autobuses\n1.A.3.b.iv: carretera - motocicletas\n1.A.3.c: ferrocarril"]
["Descri106","For each vehicle type, choose at least one corresponding fuel type from the dropdown menu. The option \"none\" means that the vehicle has no engine (e.g. in the case of a cargo bike). Be careful to fill in the data for all selected vehicle categories.","For each vehicle type, choose at least one corresponding fuel type from the dropdown menu. The option \"none\" means that the vehicle has no engine (e.g. in the case of a cargo bike). Be careful to fill in the data for all selected vehicle categories.","Attribuez au moins un type de carburant à chaque type de véhicule. Vous pouvez choisir les carburants donnés dans le menu déroulant. L'option \"aucun\" signifie que le véhicule n'a pas de moteur (par exemple, dans le cas d'un vélo cargo). Prétez attention à remplir le type de fuel pour toutes les catégories de véhicules sélectionnées.","Para cada tipo de vehículo, elija al menos un tipo de combustible correspondiente en el menú desplegable. La opción \"ninguno\" significa que el vehículo no tiene motor (por ejemplo, en el caso de una bicicleta de carga). Tenga cuidado de rellenar los datos de todas las categorías de vehículos seleccionadas."]
["Descri107","CRF code custom vehicle type","CRF code custom vehicle type","Code CRF type de véhicule personnalisé","Código CRF tipo de vehículo personalizado"]
["Descri108","CRF code used by the tool","CRF code used by the tool","Code CRF utilisé par l'outil","Código CRF utilizado por la herramienta"]
["Error1","There is an error in section 1! The tool might not work properly!","There is an error in section 1! The tool might not work properly!","Il y a une erreur dans la section 1! Il se peut que l'outil ne fonctionne pas correctement!","¡Hay un error en la sección 1! Es posible que la herramienta no funcione correctamente."]
["Error2","There is an error on sheet \"1 Vehicles and Fuels\"! Please check! \nThe results below might be wrong!","There is an error on sheet \"1 Vehicles and Fuels\"! Please check! \nThe results below might be wrong!","Il y a une erreur sur la fiche \"1 Vehicles and Fuels\"! Veuillez vérifier! \nLes résultats ci-dessous peuvent être erronés!","Hay un error en la hoja \"1 Vehicles and Fuels\". Por favor, compruébelo. \nLos resultados de abajo pueden ser erróneos."]
["Descri109","Remark 1: Vehicle types are not allowed to appear twice!\nRemark 2: If you want to delete a vehicle or fuel type, please make sure that the respective cells on sheets 2A, 3A and 3B are empty before you remove it.\nRemark 3: If you delete several vehicle or fuel types, you have to delete them one by one. Otherwise the macros will not work properly.","Remark 1: Vehicle types are not allowed to appear twice!\nRemark 2: If you want to delete a vehicle or fuel type, please make sure that the respective cells on sheets 2A, 3A and 3B are empty before you remove it.\nRemark 3: If you delete several vehicle or fuel types, you have to delete them one by one. Otherwise the macros will not work properly.","Remarque 1: Il ne faut pas entrer un type de véhicule plus qu'une fois!\nRemarque 2 : Si vous souhaitez supprimer un type de véhicule ou de carburant, assurez-vous que les cellules respectives sur les feuilles 2A, 3A et 3B sont vides avant de le supprimer.\nRemarque 3 : Si vous supprimez plusieurs types de véhicules ou de carburants, vous devez les supprimer un par un. Sinon, les macros ne fonctionneront pas correctement.","Observación 1: Los tipos de vehículos no pueden aparecer dos veces.\nObservación 2: Si desea borrar un tipo de vehículo o de combustible, asegúrese de que las celdas respectivas de las hojas 2A, 3A y 3B están vacías antes de borrarlo.\nObservación 3: Si borra varios tipos de vehículos o combustibles, debe borrarlos uno a uno. De lo contrario, las macros no funcionarán correctamente."]
["InputH2","Input data for hydrogen production","Input data for hydrogen production","Données d'entrée concernant la production d'hydrogène","Datos de entrada para la producción de hidrógeno"]
["donottouchError",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"Do not touch - for error detection"},"Do not touch - for error detection","Ne pas toucher - pour détection d'erreur","No tocar - para detección de errores"]
["scenvsBAU","climate scenario vs. BAU","climate scenario vs. BAU","scénario climat vs. BAU","escenario climático vs. BAU"]
["Error3","There is an error in table 4.ii) Vehicle kilometers travelled breakdown by fuel type. Please check!",{"$f":"\"There is an error in table \"&Descri21&\". Please check!\"","v":"There is an error in table 4.ii) Vehicle kilometers travelled breakdown by fuel type. Please check!"},{"$f":"\"Il y a une erreur dans le tableau \"&Descri21&\". Veuillez verifier!\"","v":"Il y a une erreur dans le tableau 4.ii) Vehicle kilometers travelled breakdown by fuel type. Veuillez verifier!"},{"$f":"\"Hay un error en la tabla \"&Descri21&\". ¡Por favor, cumpruéblo!\"","v":"Hay un error en la tabla 4.ii) Vehicle kilometers travelled breakdown by fuel type. ¡Por favor, cumpruéblo!"}]
["Error4","A value in table 4.iii) is missing or wrong. Please check!","A value in table 4.iii) is missing or wrong. Please check!","Dans le tableau 4.iii), une valeur est manquante ou erronée. Veuillez vérifier !","En la tabla 4.iii), falta un valor o es incorrecto. Por favor, compruébelo."]
["Error5","Emission factors for electricity and/or hydrogen are missing (table 4.iv). Please check!","Emission factors for electricity and/or hydrogen are missing (table 4.iv). Please check!","Il manquent des facteurs d'émission pour l'électricité et/ou l'hydrogène (tableau 4.iv). Veuillez vérifier !","Faltan factores de emisión para la electricidad y/o el hidrógeno (tabla 4.iv). Compruébelo, por favor."]
["Error6","There is an error on sheet \"2A Input Base and BAU\"! Please check! \nThe results below might be wrong!","There is an error on sheet \"2A Input Base and BAU\"! Please check! \nThe results below might be wrong!","Il y a une erreur sur la fiche \"2A Input Base and BAU\"! Veuillez vérifier! \nLes résultats ci-dessous peuvent être erronés!","Hay un error en la hoja \"2A Input Base and BAU\". Por favor, compruébelo. \nLos resultados de abajo pueden ser erróneos."]
["redtkm","Reduced tkm [Mio tkm]","Reduced tkm [Mio tkm]","tkm supprimés [Mio tkm]","tkm reducidos [Mio.tkm]"]
["warningmacros","Important note: Please activate macros after opening the file to ensure proper functioning of the tool!","Important note: Please activate macros after opening the file to ensure proper functioning of the tool!","Note importante : Veuillez activer les macros après avoir ouvert le fichier pour assurer le bon fonctionnement de l'outil !","Nota importante: ¡Active las macros después de abrir la herramienta para garantizar su correcto funcionamiento!"]
["Descri110","Please note: The values for the energy balance have to be given in the unit 1000 TOE (tonnes of oil equivalent).","Please note: The values for the energy balance have to be given in the unit 1000 TOE (tonnes of oil equivalent).","Attention : les valeurs du bilan énergétique doivent être données dans l'unité 1000 TEP (tonnes équivalent pétrole).","Nota: los valores del balance energético deben indicarse en la unidad 1000 TOE (toneladas equivalentes de petróleo)."]
["Error7","There is an error in table 3. Please check!","There is an error in table 3. Please check!","Il y a une erreur dans le tableau 3. Veuillez verifier!","Hay un error en la tabla 3. ¡Por favor, cumpruéblo!"]
["Error8","A value in table 4 is missing or wrong. Please check!","A value in table 4 is missing or wrong. Please check!","Dans le tableau 4, une valeur est manquante ou erronée. Veuillez vérifier !","En la tabla 4, falta un valor o es incorrecto. Por favor, compruébelo."]
["Error9","There is an error in table 2.3. Please check!","There is an error in table 2.3. Please check!","Il y a une erreur dans le tableau 2.3. Veuillez verifier!","Hay un error en la tabla 2.3. ¡Por favor, cumpruéblo!"]
["Error10","There is an error on sheet \"3A Input Climate Scen. Pass.\"! Please check! \nThe results below might be wrong!","There is an error on sheet \"3A Input Climate Scen. Pass.\"! Please check! \nThe results below might be wrong!","Il y a une erreur sur la fiche \"3A Input Climate Scen. Pass.\"! Veuillez vérifier! \nLes résultats ci-dessous peuvent être erronés!","Hay un error en la hoja \"3A Input Climate Scen. Pass.\". Por favor, compruébelo. \nLos resultados de abajo pueden ser erróneos."]
["Error11","There is an error on sheet \"3B Input Climate Scen. Freight\"! Please check! \nThe results below might be wrong!","There is an error on sheet \"3B Input Climate Scen. Freight\"! Please check! \nThe results below might be wrong!","Il y a une erreur sur la fiche \"3B Input Climate Scen. Freight\"! Veuillez vérifier! \nLes résultats ci-dessous peuvent être erronés!","Hay un error en la hoja \"3B Input Climate Scen. Freight\". Por favor, compruébelo. \nLos resultados de abajo pueden ser erróneos."]
["Error12","There is an error in section 4.i). Please check!","There is an error in section 4.i). Please check!","Il y a une erreur dans la section 4.i). Veuillez verifier!","Hay un error en la sección 4.i). ¡Por favor, cumpruéblo!"]
["crf_car","1.A.3.b.i: road - car","1.A.3.b.i: road - car","1.A.3.b.i: route - voiture","1.A.3.b.i: carretera - automóvil"]
["crf_lcv","1.A.3.b.ii: road - light commercial vehicle","1.A.3.b.ii: road - light commercial vehicle","1.A.3.b.ii: route - camionnette","1.A.3.b.ii: carretera - vehículo comercial ligero"]
["crf_tb","1.A.3.b.iii: road - trucks and busses","1.A.3.b.iii: road - trucks and busses","1.A.3.b.iii: route - camion et bus","1.A.3.b.iii: carretera - camiones y autobuses"]
["crf_mc","1.A.3.b.iv: road - motorcycles","1.A.3.b.iv: road - motorcycles","1.A.3.b.iv: route - motocyclette","1.A.3.b.iv: carretera - motocicletas"]
["crf_rail","1.A.3.c: rail","1.A.3.c: rail","1.A.3.c: ferroviaire","1.A.3.c: ferrocarril"]
["Error13","Values highlighted in red are not reasonable for the respective vehicle type. The occupancy rate is either too high or too low. Please adjust your input. ","Values highlighted in red are not reasonable for the respective vehicle type. The occupancy rate is either too high or too low. Please adjust your input. ","Les valeurs surlignées en rouge ne sont pas raisonnables pour le type de véhicule concerné. Le taux d'occupation est soit trop élevé, soit trop bas. Veuillez ajuster vos données. ","Los valores resaltados en rojo no son razonables para el tipo de vehículo correspondiente. El índice de ocupación es demasiado alto o demasiado bajo. Por favor, ajuste los datos introducidos. "]
["Error14","The input values for the transport performance (PKM) and the vehicle kilometers travelled lead to an unreasonable occupancy rate for the respective vehicle category. Please adjust your input in the highlighted cells. ","The input values for the transport performance (PKM) and the vehicle kilometers travelled lead to an unreasonable occupancy rate for the respective vehicle category. Please adjust your input in the highlighted cells. ","Les valeurs d'entrée pour la prestation de transport (PKM) et les kilomètres parcourus par les véhicules conduisent à un taux d'occupation déraisonnable pour la catégorie de véhicules concernée. Veuillez ajuster vos données dans les cellules surlignées. ","Los valores introducidos para el rendimiento del transporte (PKM) y los kilómetros recorridos por el vehículo conducen a un índice de ocupación excesivo para la categoría de vehículos correspondiente. Por favor, ajuste los valores introducidos en las celdas resaltadas. "]
["Error15","Values highlighted in red are not reasonable for the respective vehicle type. The load per vehicle is either too high or too low. Please adjust your input. ","Values highlighted in red are not reasonable for the respective vehicle type. The load per vehicle is either too high or too low. Please adjust your input. ","Les valeurs surlignées en rouge ne sont pas raisonnables pour le type de véhicule concerné. La charge par véhicule est soit trop élevée, soit trop faible. Veuillez ajuster vos données. ","Los valores resaltados en rojo no son razonables para el tipo de vehículo correspondiente. La carga por vehículo es demasiado alta o demasiado baja. Por favor, ajuste los datos introducidos. "]
["Error16","The input values for the transport performance (TKM) and the vehicle kilometers travelled lead to an unreasonable load factor for the respective vehicle category. Please adjust your input in the highlighted cells. ","The input values for the transport performance (TKM) and the vehicle kilometers travelled lead to an unreasonable load factor for the respective vehicle category. Please adjust your input in the highlighted cells. ","Les valeurs introduites pour la prestation de transport (TKM) et les kilomètres parcourus par le véhicule conduisent à un facteur de charge déraisonnable pour la catégorie de véhicule concernée. Veuillez ajuster vos données dans les cellules surlignées. ","Los valores introducidos para el rendimiento de transporte (TKM) y los kilómetros recorridos por el vehículo conducen a un factor de carga no razonable para la categoría de vehículo respectiva. Por favor, ajuste su entrada en las celdas resaltadas. "]
["Error17","There is input data in the approach \"with upstream calculations\" as well as in the approach \"without upstream calculations\" (sections 1 & 2). Please make sure that you enter data only for either of the two approaches.","There is input data in the approach \"with upstream calculations\" as well as in the approach \"without upstream calculations\" (sections 1 & 2). Please make sure that you enter data only for either of the two approaches.","Il existe des données d'entrée dans l'approche \"avec calculs en amont\" ainsi que dans l'approche \"sans calculs en amont\" (sections 1 & 2). Veillez à ne saisir des données que pour l'une ou l'autre de ces deux approches.","Hay datos de entrada tanto en el enfoque \"con cálculos aguas arriba\" como en el enfoque \"sin cálculos aguas arriba\" (secciones 1 y 2). Por favor, asegúrese de introducir los datos sólo para cualquiera de los dos enfoques."]
["LatestVersion","Please make sure that you use the latest version of the MYC Emissions Calculator to avoid wrong results. The Emissions Calculator is updated on a regular basis including new features and bug fixes. If you would like to receive a notification as soon as there is an update available you can register with your e-mail address on the MobiliseYourCity homepage. If you do not want to register please click the following link to ensure that you use the latest update:","Please make sure that you use the latest version of the MYC Emissions Calculator to avoid wrong results. The Emissions Calculator is updated on a regular basis including new features and bug fixes. If you would like to receive a notification as soon as there is an update available you can register with your e-mail address on the MobiliseYourCity homepage. If you do not want to register please click the following link to ensure that you use the latest update:","Veillez à utiliser la dernière version du calculateur d'émissions du MYC afin d'éviter des résultats erronés. Le calculateur d'émissions est régulièrement mis à jour et comprend de nouvelles fonctionnalités et des corrections de bogues. Si vous souhaitez recevoir une notification dès qu'une mise à jour est disponible, vous pouvez vous inscrire avec votre adresse e-mail sur la page d'accueil de MobiliseYourCity. Si vous ne souhaitez pas vous enregistrer, cliquez sur le lien suivant pour vous assurer que vous utilisez la dernière mise à jour :","Por favor, asegúrese de que utiliza la última versión de la Calculadora de Emisiones MYC para evitar resultados erróneos. La Calculadora de Emisiones se actualiza periódicamente para incluir nuevas funciones y corregir errores. Si desea recibir una notificación en cuanto haya una actualización disponible, puede registrarse con su dirección de correo electrónico en la página de inicio de MobiliseYourCity. Si no desea registrarse, haga clic en el siguiente enlace para asegurarse de que utiliza la última actualización:"]
["LastUpdate","Last Update:","Last Update:","Dernière mise à jour :","Última actualización:"]
["Graph11","GHG emissions from passenger transport per passenger-kilometer [gCO2/PKM] ","GHG emissions from passenger transport per passenger-kilometer [gCO2/PKM] ","Émissions de GES dues au transport de passagers par passager-kilomètre [gCO2/PKM]","Emisiones de GEI del transporte de pasajeros por pasajero-kilómetro [gCO2/PKM]"]
["Graph12","GHG emissions from freight transport per tonne-kilometer [gCO2/TKM] ","GHG emissions from freight transport per tonne-kilometer [gCO2/TKM] ","Émissions de GES du transport de marchandises par tonne-kilomètre [gCO2/TKM]","Emisiones de GEI del transporte de mercancías por tonelada-kilómetro [gCO2/TKM]"]
["Error18","There is an error in table 2.2. Please check!","There is an error in table 2.2. Please check!","Une erreur s'est glissée dans le tableau 2.2. Veuillez vérifier!","Hay un error en la tabla 2.2. Por favor, compruébelo."]
["Error19","There is an error in the approach \"with upstream calculations\". Please check!","There is an error in the approach \"with upstream calculations\". Please check!","Il y a une erreur dans l'approche \"avec calculs en amont\". Veuillez vérifier!","Hay un error en el planteamiento \"con cálculos ascendentes\". Por favor, compruébelo."]
["Error20","There is input data in both calculation approaches. Please check!","There is input data in both calculation approaches. Please check!","Les deux méthodes de calcul contiennent des données d'entrée. Veuillez vérifier!","Hay datos de entrada en ambos métodos de cálculo. Compruébelo."]
["Error21",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"The values highlighted in red are unusually high for the percentage of avoided motorised vkt. Please check and refer to remark 3 above."},"The values highlighted in red are unusually high for the percentage of avoided motorised vkt. Please check and refer to remark 3 above.","Les valeurs surlignées en rouge sont anormalement élevées pour le pourcentage de vkt motorisés évités. Veuillez vérifier et vous référer à la remarque 3 ci-dessus.","Los valores resaltados en rojo son inusualmente altos para el porcentaje de vkt motorizados evitados. Por favor, compruébelo y consulte la observación 3 anterior."]
["ShowErrors","Highlight errors in input cells on sheets 2A, 3A and 3B (select \"yes\" if error messages are shown below in order to facilitate error correction):","Highlight errors in input cells on sheets 2A, 3A and 3B (select \"yes\" if error messages are shown below in order to facilitate error correction):","Mettre en évidence les erreurs dans les cellules de saisie des feuilles 2A, 3A et 3B (sélectionnez \"oui\" si des messages d'erreur sont affichés ci-dessous afin de faciliter la correction des erreurs) :","Resalte los errores en las celdas de entrada de las hojas 2A, 3A y 3B (seleccione \"sí\" si se muestran mensajes de error debajo para facilitar la corrección de errores):"]
["yes","yes","yes","oui","sí"]
["no","no","no","non","no"]
["locationType","Type of location","Type of location","Type d'emplacement","Tipo de ubicación"]
["locationName","Location name","Location name","Nom d'emplacement","Nombre de la ubicación"]
["Text22",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"The user can find here the results of the baseline and BAU scenarios corresponding to the inputs given in Tab\"2A Input Base_BAU\".\nThe results display\n- the population and GDP values\n- the mileage (vkt) and the modal split (in pkm / tkm)\n- the total GHG emissions"},"The user can find here the results of the baseline and BAU scenarios corresponding to the inputs given in Tab\"2A Input Base_BAU\".\nThe results display\n- the population and GDP values\n- the mileage (vkt) and the modal split (in pkm / tkm)\n- the total GHG emissions","L'utilisateur peut trouver ici les résultats des scénarios de base et BAU correspondant aux entrées données dans l'onglet \"2A Input Base_BAU\".\nLes résultats affichent\n- les valeurs de la population et du PIB\n- le kilométrage (vkt) et la répartition modale (en pkm / tkm)\n- les émissions totales de GES","El usuario puede encontrar aquí los resultados de los escenarios base y BAU correspondientes a las entradas dadas en la pestaña \"2A Entrada Base_BAU\".\nLos resultados muestran\n- los valores de población y PIB\n- el kilometraje (vkt) y el reparto modal (en pkm / tkm)\n- las emisiones totales de GEI"]
["Text26",{"$f":"INDEX($C$5:$E$1048576,,$B$3)","v":"2A Results Base_BAU"},"2A Results Base_BAU","2A Results Base_BAU","2A Results Base_BAU"]
["Text27","Energy Balance\n[1000 TOE]","Energy Balance\n[1000 TOE]","Bilan énergétique\n[1000 TOE]","Balance energético\n[1000 TOE]"]
["Text28","Global GHG emissions [1000 t]","Global GHG emissions [1000 t]","Emisiones mundiales de GEI [1000 t]","Emisiones mundiales de GEI [1000 t]"]
["Text29","3B Results Climate Scen freight","3B Results Climate Scen freight","3B Results Climate Scen freight","3B Results Climate Scen freight"]
["text30","The user can find here the results of the freigth climate scenario corresponding to the inputs given in Tab \"3B Input climate Scen freight\".\nThe results display:\n- the GHG emissions of the freight climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in pkm)\n","The user can find here the results of the freigth climate scenario corresponding to the inputs given in Tab \"3B Input climate Scen freight\".\nThe results display:\n- the GHG emissions of the freight climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in pkm)\n","L'utilisateur peut trouver ici les résultats du cinquième scénario climatique correspondant aux entrées données dans l'onglet \"3B Input climate Scen freight\".\nLes résultats affichent\n- les émissions de GES du scénario climat de marchandise et la réduction correspondante des émissions de GES par rapport au scénario BAU\n- le kilométrage (vkt) et la répartition modale (en pkm)","El usuario puede encontrar aquí los resultados del escenario climático libre correspondiente a las entradas dadas en la pestaña \"3B Entrada escenario climático\".\nLos resultados muestran\n- las emisiones de GEI del escenario climático para el transporte de mercancías y la correspondiente reducción de emisiones de GEI en comparación con el escenario BAU\n- el kilometraje (vkt) y el reparto modal (en pkm)"]
["text31","3A Results Climate Scen Pass","3A Results Climate Scen Pass","3A Results Climate Scen Pass","3A Results Climate Scen Pass"]
["text32","The user can find here the results of the passenger climate scenario corresponding to the inputs given in Tab \"3A Input climate Scen pass\".\nThe results display:\n- the GHG emissions of the passebger climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in tkm)","The user can find here the results of the passenger climate scenario corresponding to the inputs given in Tab \"3A Input climate Scen pass\".\nThe results display:\n- the GHG emissions of the passebger climate scenario and the corresponding GHG emission reduction compared to the BAU scenario\n- the mileage (vkt) and the modal split (in tkm)","L'utilisateur peut trouver ici les résultats du scénario climatique passager correspondant aux entrées données dans l'onglet \"3A Input climate Scen pass\".\nLes résultats affichent\n- les émissions de GES du scénario climat passager et la réduction correspondante des émissions de GES par rapport au scénario BAU\n- le kilométrage (vkt) et la répartition modale (en tkm)","El usuario puede encontrar aquí los resultados del escenario climático del pasajero correspondiente a las entradas dadas en la pestaña \"3A Input climate Scen pass\".\n- las emisiones de GEI del escenario climático para pasajeros y la correspondiente reducción de emisiones de GEI en comparación con el escenario BAU\n- el kilometraje (vkt) y el reparto modal (en tkm)"]
["Errormessage","Error message will be shown here if detected","Error message will be shown here if detected","Un message d'erreur sera affiché ici s'il est détecté","Si se detecta un error, se mostrará un mensaje de error"]
["donottouchPrevention","Do not touch - for error prevention ","Do not touch - for error prevention ","Ne pas toucher - pour éviter les erreurs ","No tocar - para evitar errores "]
["Error22","There is an error in section 2! The tool might not work properly!","There is an error in section 2! The tool might not work properly!","Il y a une erreur dans la section 2! Il se peut que l'outil ne fonctionne pas correctement!","¡Hay un error en la sección 2! Es posible que la herramienta no funcione correctamente."]
["Generalerror","Error message will be shown here if detected","Error message will be shown here if detected","Un message d'erreur sera affiché ici si une erreur est détectée","Si se detecta un error, se mostrará un mensaje de error"]

{"sheet":"Lists","index":17,"n_rows":96,"n_cols":36,"rows_kept":96,"cut":false,"hidden":false,"merged":[[0,17,0,21],[0,25,0,27],[0,30,0,32]]}
[{"$f":"ITrans","v":"Individual road passenger transport"},null,{"$f":"CTrans","v":"Collective road passenger transport"},null,{"$f":"CRailTrans","v":"Rail passenger transport"},null,{"$f":"FTrans","v":"Road freight transport"},null,{"$f":"FRailTrans","v":"Rail freight transport"},null,null,{"$f":"Fuel","v":"Fuel type"},"Unit",null,"CRF codes",null,null,"Fuel consumption: data check",null,null,null,null,null,null,"Occupancy rate: data check","here the highest possible occupancy is defined as limit for inputs",null,null,null,"Load factor: data check","here the highest possible load factor is defined as limit for inputs"]
[{"$f":"Motorcycle","v":"Motorcycle"},"1.A.3.b.iv",{"$f":"Minibus","v":"Minibus"},"1.A.3.b.i",{"$f":"Metro","v":"Metro"},"1.A.3.c",{"$f":"VLCV","v":"Very light commercial vehicle"},"1.A.3.b.ii",{"$f":"Ftrain","v":"Freight train"},"1.A.3.c",null,{"$f":"Gasoline","v":"Gasoline"},"l/100km",null,"1.A.3.b.i","Road- car",null,"Vehicle type","Fuel type","min","max","unit",null,null,"Vehicle type","min","max","unit",null,"Vehicle type","min","max","unit",null,null,{"$f":"yes","v":"yes"}]
[{"$f":"Pcar","v":"Passenger car"},"1.A.3.b.i",{"$f":"Bus","v":"Bus"},"1.A.3.b.iii",{"$f":"Utrain","v":"Urban train"},"1.A.3.c",{"$f":"LCV","v":"Light commercial vehicle"},"1.A.3.b.ii",{"$f":"Custom","v":"Custom vehicle type"},null,null,{"$f":"Diesel","v":"Diesel"},"l/100km",null,"1.A.3.b.ii","Road- LCV",null,{"$f":"Motorcycle","v":"Motorcycle"},{"$f":"Gasoline","v":"Gasoline"},0.5,10,{"$f":"VLOOKUP(S3,L$2:M$9,2,FALSE)","v":"l/100km"},null,null,{"$f":"Motorcycle","v":"Motorcycle"},1,3,"passenger/vehicle",null,{"$f":"Very_light_commercial_vehicle","v":"Very light commercial vehicle"},0,0.5,"tons/vehicle",null,null,{"$f":"no","v":"no"}]
[{"$f":"Threewheel","v":"Three wheelers"},"1.A.3.b.iv",{"$f":"Coach","v":"Coach"},"1.A.3.b.iii",{"$f":"Train","v":"Long distance train"},"1.A.3.c",{"$f":"Solo","v":"Solo truck"},"1.A.3.b.iii","-",null,null,{"$f":"LPG","v":"LPG"},"l/100km",null,"1.A.3.b.iii","Road- truck and busses",null,{"$f":"Motorcycle","v":"Motorcycle"},{"$f":"Electric","v":"Electric"},2,11,{"$f":"VLOOKUP(S4,L$2:M$9,2,FALSE)","v":"kWh/100km"},null,null,{"$f":"Pcar","v":"Passenger car"},1,7,"passenger/vehicle",null,{"$f":"LCV","v":"Light commercial vehicle"},0,1.4,"tons/vehicle"]
[{"$f":"Itaxi","v":"Individual taxi"},"1.A.3.b.i",{"$f":"BRT","v":"BRT"},"1.A.3.b.iii",{"$f":"Custom","v":"Custom vehicle type"},null,{"$f":"Atruck","v":"Articulated truck"},"1.A.3.b.iii",0,null,null,{"$f":"NG","v":"CNG"},"kg/100km",null,"1.A.3.b.iv","Road- motorcycle",null,{"$f":"Pcar","v":"Passenger car"},{"$f":"Gasoline","v":"Gasoline"},2,20,"l/100km",null,null,{"$f":"Threewheel","v":"Three wheelers"},1,5,"passenger/vehicle",null,{"$f":"Solo","v":"Solo truck"},0,18,"tons/vehicle"]
[{"$f":"Mototaxi","v":"Motorcycle taxi"},"1.A.3.b.iv",{"$f":"Custom","v":"Custom vehicle type"},null,"-",null,{"$f":"cargobike","v":"Cargo bike"},"1.A.3.b.iv",null,null,null,{"$f":"LNG","v":"LNG"},"kg/100km",null,"1.A.3.c","Rail",null,"Passenger car",{"$f":"Diesel","v":"Diesel"},2,18,"l/100km",null,null,{"$f":"Itaxi","v":"Individual taxi"},1,6,"passenger/vehicle",null,{"$f":"Atruck","v":"Articulated truck"},0,30,"tons/vehicle"]
[{"$f":"Custom","v":"Custom vehicle type"},null,"-",null,0,null,{"$f":"Custom","v":"Custom vehicle type"},null,null,null,null,{"$f":"Hydrogen","v":"Hydrogen"},"kg/100km",null,null,null,null,"Passenger car",{"$f":"LPG","v":"LPG"},2,20,"l/100km",null,null,{"$f":"Mototaxi","v":"Motorcycle taxi"},1,3,"passenger/vehicle",null,{"$f":"cargobike","v":"Cargo bike"},0,{"$f":"500*10^-3","v":0.5},"tons/vehicle"]
["-",null,0,null,null,null,"-",null,null,null,null,{"$f":"Electric","v":"Electric"},"kWh/100km",null,null,null,null,"Passenger car",{"$f":"NG","v":"CNG"},2,20,"kg/100km",null,null,{"$f":"Minibus","v":"Minibus"},1,25,"passenger/vehicle",null,{"$f":"Ftrain","v":"Freight train"},0,5500,"tons/vehicle"]
[0,null,null,null,null,null,0,null,null,null,null,{"$f":"Hybrid","v":"Hybrid"},"l/100km",null,null,null,null,"Passenger car",{"$f":"Hydrogen","v":"Hydrogen"},0.2,5,"kg/100km",null,null,{"$f":"Bus","v":"Bus"},1,120,"passenger/vehicle"]
[null,null,null,null,null,null,null,null,null,null,null,"none ","-",null,null,null,null,"Passenger car",{"$f":"Electric","v":"Electric"},5,50,"kWh/100km",null,null,{"$f":"Coach","v":"Coach"},1,100,"passenger/vehicle"]
[null,null,null,null,null,null,null,null,null,null,null,"-","-",null,null,null,null,"Passenger car",{"$f":"Hybrid","v":"Hybrid"},1,20,"l/100km",null,null,{"$f":"BRT","v":"BRT"},1,300,"passenger/vehicle"]
[{"$f":"crf_car","v":"1.A.3.b.i: road - car"},"1.A.3.b.i",{"$f":"crf_car","v":"1.A.3.b.i: road - car"},"1.A.3.b.i",{"$f":"crf_rail","v":"1.A.3.c: rail"},"1.A.3.c",{"$f":"crf_lcv","v":"1.A.3.b.ii: road - light commercial vehicle"},"1.A.3.b.ii",{"$f":"crf_rail","v":"1.A.3.c: rail"},"1.A.3.c",null,0,null,null,null,null,null,{"$f":"Threewheel","v":"Three wheelers"},{"$f":"Gasoline","v":"Gasoline"},1,20,"l/100km",null,null,{"$f":"Metro","v":"Metro"},1,1800,"passenger/vehicle"]
[{"$f":"crf_mc","v":"1.A.3.b.iv: road - motorcycles"},"1.A.3.b.iv",{"$f":"crf_tb","v":"1.A.3.b.iii: road - trucks and busses"},"1.A.3.b.iii",0,null,{"$f":"crf_tb","v":"1.A.3.b.iii: road - trucks and busses"},"1.A.3.b.iii",0,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"Diesel","v":"Diesel"},1,20,"l/100km",null,null,{"$f":"Utrain","v":"Urban train"},1,1800,"passenger/vehicle"]
[0,null,0,null,null,null,{"$f":"crf_mc","v":"1.A.3.b.iv: road - motorcycles"},"1.A.3.b.iv",null,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"LPG","v":"LPG"},1,25,"l/100km",null,null,{"$f":"Train","v":"Long distance train"},1,1800,"passenger/vehicle"]
[null,null,null,null,null,null,0,null,null,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"NG","v":"CNG"},1,20,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"Hydrogen","v":"Hydrogen"},0.1,5,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"Electric","v":"Electric"},3,50,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Three wheelers",{"$f":"Hybrid","v":"Hybrid"},1,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Itaxi","v":"Individual taxi"},{"$f":"Gasoline","v":"Gasoline"},2,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"Diesel","v":"Diesel"},2,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"LPG","v":"LPG"},2,25,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"NG","v":"CNG"},2,20,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"Hydrogen","v":"Hydrogen"},0.2,5,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"Electric","v":"Electric"},5,50,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Individual taxi",{"$f":"Hybrid","v":"Hybrid"},1,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Mototaxi","v":"Motorcycle taxi"},{"$f":"Gasoline","v":"Gasoline"},1,10,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Mototaxi","v":"Motorcycle taxi"},{"$f":"Electric","v":"Electric"},2,20,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Minibus","v":"Minibus"},{"$f":"Gasoline","v":"Gasoline"},3,30,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"Diesel","v":"Diesel"},3,30,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"LPG","v":"LPG"},3,35,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"NG","v":"CNG"},3,30,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"Hydrogen","v":"Hydrogen"},0.5,10,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"Electric","v":"Electric"},10,100,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Minibus",{"$f":"Hybrid","v":"Hybrid"},3,30,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Bus","v":"Bus"},{"$f":"Gasoline","v":"Gasoline"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"Diesel","v":"Diesel"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"LPG","v":"LPG"},5,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"NG","v":"CNG"},5,95,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"Hydrogen","v":"Hydrogen"},1,25,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"Electric","v":"Electric"},20,250,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Bus",{"$f":"Hybrid","v":"Hybrid"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Coach","v":"Coach"},{"$f":"Gasoline","v":"Gasoline"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"Diesel","v":"Diesel"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"LPG","v":"LPG"},5,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"NG","v":"CNG"},5,95,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"Hydrogen","v":"Hydrogen"},1,25,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"Electric","v":"Electric"},20,250,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coach",{"$f":"Hybrid","v":"Hybrid"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"BRT","v":"BRT"},{"$f":"Gasoline","v":"Gasoline"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"Diesel","v":"Diesel"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"LPG","v":"LPG"},5,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"NG","v":"CNG"},5,95,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"Hydrogen","v":"Hydrogen"},1,25,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"Electric","v":"Electric"},20,250,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BRT",{"$f":"Hybrid","v":"Hybrid"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Metro","v":"Metro"},{"$f":"Diesel","v":"Diesel"},30,1000,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Metro","v":"Metro"},{"$f":"Hydrogen","v":"Hydrogen"},5,180,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Metro","v":"Metro"},{"$f":"Electric","v":"Electric"},75,2500,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Utrain","v":"Urban train"},{"$f":"Diesel","v":"Diesel"},30,1200,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Utrain","v":"Urban train"},{"$f":"Hydrogen","v":"Hydrogen"},5,200,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Utrain","v":"Urban train"},{"$f":"Electric","v":"Electric"},75,3000,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Train","v":"Long distance train"},{"$f":"Diesel","v":"Diesel"},100,1200,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Train","v":"Long distance train"},{"$f":"Hydrogen","v":"Hydrogen"},15,200,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Train","v":"Long distance train"},{"$f":"Electric","v":"Electric"},150,3000,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"VLCV","v":"Very light commercial vehicle"},{"$f":"Gasoline","v":"Gasoline"},1,20,{"$f":"VLOOKUP(S65,L$2:M$9,2,FALSE)","v":"l/100km"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"Diesel","v":"Diesel"},1,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"LPG","v":"LPG"},1,25,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"NG","v":"CNG"},1,20,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"Hydrogen","v":"Hydrogen"},0.3,5,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"Electric","v":"Electric"},3,50,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Very light commercial vehicle",{"$f":"Hybrid","v":"Hybrid"},1,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"LCV","v":"Light commercial vehicle"},{"$f":"Gasoline","v":"Gasoline"},2,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"Diesel","v":"Diesel"},2,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"LPG","v":"LPG"},2,25,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"NG","v":"CNG"},2,20,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"Hydrogen","v":"Hydrogen"},0.5,7,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"Electric","v":"Electric"},5,70,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Light commercial vehicle",{"$f":"Hybrid","v":"Hybrid"},2,20,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Solo","v":"Solo truck"},{"$f":"Gasoline","v":"Gasoline"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck",{"$f":"Diesel","v":"Diesel"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck","CNG",5,95,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck","LNG",5,95,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck",{"$f":"Hydrogen","v":"Hydrogen"},1,25,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck",{"$f":"Electric","v":"Electric"},20,300,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Solo truck",{"$f":"Hybrid","v":"Hybrid"},5,95,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Atruck","v":"Articulated truck"},{"$f":"Gasoline","v":"Gasoline"},10,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck",{"$f":"Diesel","v":"Diesel"},10,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck","CNG",10,120,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck","LNG",10,120,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck",{"$f":"Hydrogen","v":"Hydrogen"},2,30,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck",{"$f":"Electric","v":"Electric"},40,300,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Articulated truck",{"$f":"Hybrid","v":"Hybrid"},5,120,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"cargobike","v":"Cargo bike"},{"$f":"Electric","v":"Electric"},0.2,3,"kWh/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Ftrain","v":"Freight train"},{"$f":"Diesel","v":"Diesel"},100,2000,"l/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Ftrain","v":"Freight train"},{"$f":"Hydrogen","v":"Hydrogen"},15,300,"kg/100km"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"Ftrain","v":"Freight train"},{"$f":"Electric","v":"Electric"},150,5000,"kWh/100km"]

{"sheet":"Tool version and vehicle cat","index":18,"n_rows":76,"n_cols":5,"rows_kept":76,"cut":false,"hidden":false,"merged":[[49,1,65,1],[45,1,48,1],[66,1,75,1],[32,4,34,4],[39,4,41,4]]}
[]
[null,"MYC tool Vehicle category","Description/correspondance to the UN consolidated ","Equivalent definition in the UN consolidated resolution (see below for more details)"]
[null,{"$f":"Motorcycle","v":"Motorcycle"},"A two-wheeled vehicle corresponding to L1 and L3","A two-wheeled vehicle with an engine cylinder capacity in the case of a thermic engine not exceeding 50 cm3 and whatever the means of propulsion a maximum design speed not exceeding 50 km/h.\nA two-wheeled vehicle with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h.\n"]
[null,{"$f":"Pcar","v":"Passenger car"},"A private motor vehicle as defined in category M1 ","Vehicles used for the carriage of passengers and comprising not more than eight seats in addition to the driver's seat"]
[null,{"$f":"Threewheel","v":"Three wheelers"},"A three-wheeled vehicle corresponding to L2, L4 and L5","A three-wheeled vehicle of any wheel arrangement with an engine cylinder capacity in the case of a thermic engine not exceeding 50 cm3 and whatever the means of propulsion a maximum design speed not exceeding 50 km/h.\nA vehicle with three wheels asymmetrically arranged in relation to the longitudinal median plane with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h (motor cycles with sidecars).\nA vehicle with three wheels symmetrically arranged in relation to the longitudinal median plane with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h."]
[null,{"$f":"Itaxi","v":"Individual taxi"},"A motor vehicle as defined in category M1 used for the public or private but commercial transport of passenger ","see passenger car"]
[null,{"$f":"Mototaxi","v":"Motorcycle taxi"},"A motorcycle vehicle as defined in category L1 and L3 used for the public or private but commercial  transport of passenger ","see motorcycle"]
[null,{"$f":"Minibus","v":"Minibus"},"A motor vehicle intended for the public or private but commercial transport of passengers (above 8 seats) corresponding to category M2","Vehicles used for the carriage of passengers, comprising more than eight seats in addition to the driver's seat, and having a maximum mass not exceeding 5 tonnes."]
[null,{"$f":"Bus","v":"Bus"},"A motor vehicle intended for the public or private but commercial transport of passengers (above 8 seats) corresponding to category M3","Vehicles used for the carriage of passengers, comprising more than eight seats in addition to the driver's seat, and having a maximum mass exceeding 5 tonnes."]
[null,{"$f":"Coach","v":"Coach"},"A motor vehicle intended for the public or private but commercial transport of passengers (above 8 seats) corresponding to category M3 on long distance trips (between cities)","see bus"]
[null,{"$f":"BRT","v":"BRT"},"A system of motor vehicle intended  for the public or private but commercial transport of passengers (above 8 seats) corresponding to category M3 running on dedicated lanes; see definition and standard: https://www.itdp.org/library/standards-and-guides/the-bus-rapid-transit-standard/","see bus"]
[null,{"$f":"Metro","v":"Metro"},"A mass Rapid transit system (MRT) is a type of high-capacity public transport generally found in urban areas and running on rail infrastructure. It runs below the surface (subway, tube, or underground) or above the surface within an city/urban area"]
[null,{"$f":"Utrain","v":"Urban train"},"an urban rail transit is an all-encompassing term for various types of local rail systems providing passenger service within and around urban or suburban areas, it encompasses tramway, LRT, rapid transit, commmuter rail, funicular"]
[null,{"$f":"Train","v":"Long distance train"},"A long distance or inter-city rail services are express passenger train services that run services that connect cities over longer distances than commuter or regional trains. "]
[null,{"$f":"VLCV","v":"Very light commercial vehicle"},"A motor vehicles with 3 or 4 wheels intended to short range deliveries, popular in Europe and Asia, many mini-trucks are factory redesigns of light automobiles, usually with monocoque bodies. Specialized designs with substantial frames such as the Italian Piaggiosuchor a three wheeld version such as tuk tuk"]
[null,{"$f":"LCV","v":"Light commercial vehicle"},"A motor vehicles with 4 wheels intended to urban deliveries, informal freight transportation, see category N1","Vehicles used for the carriage of goods and having a maximum mass not exceeding 3.5 tonnes"]
[null,{"$f":"Solo","v":"Solo truck"},"A motor vehicle designed to transport cargo, carry specialized payloads, or perform other utilitarian work, equivalent to category N2 or N3, but not articulated (with 2 or 3 axle generally)","Vehicles used for the carriage of goods and having a maximum mass exceeding 3.5 tonnes but not exceeding 12 tonnes.\nVehicles used for the carriage of goods and having a maximum mass exceeding 12 tonnes"]
[null,{"$f":"Atruck","v":"Articulated truck"},"A semi-trailer or trailer truck is equiped with a cabin and a trailer and used for the carriage of goods and having a maximum mass exceeding 12 tonnes","Vehicles used for the carriage of goods and having a maximum mass exceeding 3.5 tonnes but not exceeding 12 tonnes.\nVehicles used for the carriage of goods and having a maximum mass exceeding 12 tonnes"]
[null,{"$f":"cargobike","v":"Cargo bike"},"A cargo bike is a human owered (potentially motor assisted) vehicle two or three wheels vehicle designed and constructed specifically for transporting loads."]
[null,{"$f":"Ftrain","v":"Freight train"},"A railway train that is used to carry cargo"]
[]
[null,"UNECE - Consolidated Resolution on the Construction of Vehicles"]
[null,"https://unece.org/fileadmin/DAM/trans/main/wp29/wp29resolutions/ECE-TRANS-WP29-78-r3e.pdf "]
[null,"Classification of power-driven vehicles and trailers"]
[null,"Category","Subcategory","Description","Comments"]
[null,"L: Motor vehicles with less than four wheels","L1","A two-wheeled vehicle with an engine cylinder capacity in the case of a thermic engine not exceeding 50 cm3 and whatever the means of propulsion a maximum design speed not exceeding 50 km/h"]
[null,null,"L2","A three-wheeled vehicle of any wheel arrangement with an engine cylinder capacity in the case of a thermic engine not exceeding 50 cm3 and whatever the means of propulsion a maximum design speed not exceeding 50 km/h."]
[null,null,"L3","A two-wheeled vehicle with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h."]
[null,null,"L4","A vehicle with three wheels asymmetrically arranged in relation to the longitudinal median plane with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h (motor cycles with sidecars)."]
[null,null,"L5","A vehicle with three wheels symmetrically arranged in relation to the longitudinal median plane with an engine cylinder capacity in the case of a thermic engine exceeding 50 cm3 or whatever the means of propulsion a maximum design speed exceeding 50 km/h."]
[null,null,"L6","A vehicle with four wheels whose unladen mass is not more than 350 kg, not including the mass of the batteries in case of electric vehicles, whose maximum design speed is not more than 45 km/h, and whose engine cylinder capacity does not exceed 50 cm3 for spark (positive) ignition engines, or whose maximum net power output does not exceed 4 kW in the case of other internal combustion engines, or whose maximum continuous rated power does not exceed 4 kW in the case of electric engines."]
[null,null,"L7","A vehicle with four wheels, other than that classified for the category L6, whose unladen mass is not more than 400 kg (550 kg for vehicles intended for carrying goods), not including the mass of batteries in the case of electric vehicles and whose maximum continuous rated power does not exceed 15 kW."]
[null,"M: Power-driven vehicles having at least four wheels and used for the carriage of passengers","M1","Vehicles used for the carriage of passengers and comprising not more than eight seats in addition to the driver's seat","Class A (standing, seating) & B (seating) for vehicles with capacity not exceeding 22 passengers in addition to the driver\nClass I-III (standing areas - only seating) for vehicles having capacity exceeding 22 passengers"]
[null,null,"M2","Vehicles used for the carriage of passengers, comprising more than eight seats in addition to the driver's seat, and having a maximum mass not exceeding 5 tonnes."]
[null,null,"M3","Vehicles used for the carriage of passengers, comprising more than eight seats in addition to the driver's seat, and having a maximum mass exceeding 5 tonnes."]
[null,"N: Power-driven vehicles having at least four wheels and used for the carriage of goods","N1","Vehicles used for the carriage of goods and having a maximum mass not exceeding 3.5 tonnes"]
[null,null,"N2","Vehicles used for the carriage of goods and having a maximum mass exceeding 3.5 tonnes but not exceeding 12 tonnes."]
[null,null,"N3","Vehicles used for the carriage of goods and having a maximum mass exceeding 12 tonnes"]
[null,"O: Trailers (including semi-trailers)","O1","Trailers with a maximum mass not exceeding 0.75 tonnes."]
[null,null,"O2","Trailers with a maximum mass exceeding 0.75 tonnes, but not exceeding 3.5 tonnes.","Semi-trailer, Full trailer, Centre-axle trailer"]
[null,null,"O3","Trailers with a maximum mass exceeding 3.5 tonnes, but not exceeding 10 tonnes"]
[null,null,"O4","Trailers with a maximum mass exceeding 10 tonnes."]
[]
[]
[null,"Improvements of tool versions"]
[null,"Version 1.3","Integration of NMT kilometers in the total kilometer in base, Bau and scenario"]
[null,null,"change of default fuel emission control"]
[null,null,"GWP GIEC 2014"]
[null,null,"update of the Kpis (exclude NMT from motorised pkm)"]
[null,"Version 1.4","New fuel types: Gasoline bus and solo truck, hydrogen for all relevant vehicle categories, LNG trucks"]
[null,null,"New vehicle categories: Coach and Cargo bikes"]
[null,null,"More flexibility over years modelled and displayed:"]
[null,null,"a. Any reference year can be used"]
[null,null,"b. Possibility to choose which years to display"]
[null,null,"Explanation about the average trip length"]
[null,null,"Moved selection of the scope of GHG (Tank-to-Wheel, Well-to-Wheel) to the \"Get started\" page"]
[null,null,"Added option for GHG top-down validation in sheet 1B"]
[null,null,"Adapted sheet 4A to have a similar structure as sheet 4B (vertical layout)"]
[null,null,"Actualisation of the energy emission factors"]
[null,null,"Suppression of the national default tab: no usage until now"]
[null,null,"improvement of graphics and text"]
[null,null,"Correction error fuel consumption tab 2B Table l.177"]
[null,null,"Change calculation of cumulated GHG emissions"]
[null,null,"Tab 2B 2 referencing missing -> corrected"]
[null,null,"Correction fuel density reference to Default parameters in 4B"]
[null,null,"Debugging negativ pkm (due to NMT and input years 0) Tables L 40 column C & K (wenn 0;0) and adjustment of tables J 123 & 134"]
[null,"Version 1.5","Insertion of a new sheet that enables the user to define the vehicle and fuel types used by the tool --> numbering of sheets was changed"]
[null,null,"Tab 5B: Bug fix: Calculation of reduced pkm due to modal shift was based on total transport performance instead of additional pkm"]
[null,null,"Tab 2A: The user can define the GHG content of hydrogen"]
[null,null,"More error detection (conditional formatting); insertion of error messages"]
[null,null,"Hybrid vehicles are counted as gasoline vehicles now (before: counted as diesel vehicles)"]
[null,null,"added VBA code that hides/unhides rows on sheets 2A, 3A and 3B in order to hide rows that are not needed, because they do not contain a vehicle or fuel type"]
[null,null,"added VBA code that hides/unhides the rows containig the user input for electricity/hydrogen emission factors on sheet 2A if TTW/WTW is chosen on the sheet \"Get Started\""]
[null,null,"added separate results sheets for all input sheets"]
[null,null,"defintion of the vehicle categories used"]
[null,null,"Tab 4: Overview of gCO2/PKM and gCO2/TKM in tabular and graphic"]