Battery Electric Vehicle (BEV) adoption in the UK is geographically uneven. If BEV adoption is to effectively reduce carbon emissions from road transportation, then it will also be necessary to address potential barriers to BEV adoption posed by existing socioeconomic inequality.

Our objective is to describe the spatial and temporal trends in BEV adoption and determine how far they are associated with local area deprivation levels and other socioeconomic indicators.

• Utilize existing datasets, particularly from authorities in England and Wales (e.g., Department for Transport, Llywodraeth Cymru).
• Graph and map the most important descriptive trends.
• Consider associations between BEV ownership and area deprivation, using spatial regression analysis.

Describing the spatial pattern of association between BEV ownership and area deprivation provides clear indications as to the areas that are being “left behind” and where inequity may pose important barriers to the adoption of BEVs. This information is potentially useful in developing policy interventions, social marketing strategies, or raising public awareness about inequity in the adoption of new sustainable technologies.

This project uses existing datasets to describe spatial and temporal trends in BEV adoption in England and Wales and how these may be linked to area deprivation. This helps to illustrate who is being “left behind” in current transitions towards transport electrification in the United Kingdom.

In Progress

You’ll receive the latest updates on CLEETS research and programming.