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...

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Detalles Bibliográficos
Autores principales: Collett, Katherine A., Bhagavathy, Sivapriya M., McCulloch, Malcolm D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648826/
https://www.ncbi.nlm.nih.gov/pubmed/34926740
http://dx.doi.org/10.1016/j.dib.2021.107662
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author Collett, Katherine A.
Bhagavathy, Sivapriya M.
McCulloch, Malcolm D.
author_facet Collett, Katherine A.
Bhagavathy, Sivapriya M.
McCulloch, Malcolm D.
author_sort Collett, Katherine A.
collection PubMed
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.
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spelling pubmed-86488262021-12-17 Forecast of electric vehicle uptake across counties in England: Dataset from S-curve analysis Collett, Katherine A. Bhagavathy, Sivapriya M. McCulloch, Malcolm D. Data Brief Data Article 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. Elsevier 2021-12-01 /pmc/articles/PMC8648826/ /pubmed/34926740 http://dx.doi.org/10.1016/j.dib.2021.107662 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Collett, Katherine A.
Bhagavathy, Sivapriya M.
McCulloch, Malcolm D.
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
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648826/
https://www.ncbi.nlm.nih.gov/pubmed/34926740
http://dx.doi.org/10.1016/j.dib.2021.107662
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