Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis
Regional data from the UK Government's Department for Transport has been analyzed to produce a forecasted dataset of the uptake of electric vehicles (EVs) within Counties of England to the first quarter of the year 2100 using an S-curve methodology. This data includes all vehicles, not just car...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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Elsevier
2021
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| _version_ | 1826308014156546048 |
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| author | Collett, KA Bhagavathy, SM McCulloch, MD |
| author_facet | Collett, KA Bhagavathy, SM McCulloch, MD |
| author_sort | Collett, KA |
| collection | OXFORD |
| description | Regional data from the UK Government's Department for Transport has been analyzed to produce a forecasted dataset of the uptake of electric vehicles (EVs) within Counties of England to the first quarter of the year 2100 using an S-curve methodology. This data includes all vehicles, not just cars. The historic proportion of electric vehicles in the fleets of these regions is calculated using data from 2011 Q4 to 2021 Q1. This data is then analyzed using SCATE, the S-Curve Adoption Tool for EVs to forecast the future proportion of electric vehicles in these Counties. Two data tables are presented: the reformatted historic data and the data from the S-curve analysis. Data is also presented for the collective UK. |
| first_indexed | 2024-03-07T07:11:41Z |
| format | Journal article |
| id | oxford-uuid:02cfa6d0-5183-460c-97e7-1ba6e92f3ba3 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:11:41Z |
| publishDate | 2021 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:02cfa6d0-5183-460c-97e7-1ba6e92f3ba32022-07-06T13:58:05ZForecast of electric vehicle uptake across counties in England: dataset from S-curve analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:02cfa6d0-5183-460c-97e7-1ba6e92f3ba3EnglishSymplectic ElementsElsevier2021Collett, KABhagavathy, SMMcCulloch, MDRegional data from the UK Government's Department for Transport has been analyzed to produce a forecasted dataset of the uptake of electric vehicles (EVs) within Counties of England to the first quarter of the year 2100 using an S-curve methodology. This data includes all vehicles, not just cars. The historic proportion of electric vehicles in the fleets of these regions is calculated using data from 2011 Q4 to 2021 Q1. This data is then analyzed using SCATE, the S-Curve Adoption Tool for EVs to forecast the future proportion of electric vehicles in these Counties. Two data tables are presented: the reformatted historic data and the data from the S-curve analysis. Data is also presented for the collective UK. |
| spellingShingle | Collett, KA Bhagavathy, SM McCulloch, MD Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title | Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title_full | Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title_fullStr | Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title_full_unstemmed | Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title_short | Forecast of electric vehicle uptake across counties in England: dataset from S-curve analysis |
| title_sort | forecast of electric vehicle uptake across counties in england dataset from s curve analysis |
| work_keys_str_mv | AT collettka forecastofelectricvehicleuptakeacrosscountiesinenglanddatasetfromscurveanalysis AT bhagavathysm forecastofelectricvehicleuptakeacrosscountiesinenglanddatasetfromscurveanalysis AT mccullochmd forecastofelectricvehicleuptakeacrosscountiesinenglanddatasetfromscurveanalysis |