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Factors influencing the spatial distribution of EV adoption – a case study in England

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  • M. Khader
  • R. E. Wilson
  • T. Tryfonas

Abstract

The current Electric Vehicle (EV) adoption models target the factors impacting the adoption on a national scale. However, these models fail to explain the observed variability in EV adoption within one nation. To that end, this study investigates potential factors affecting the variability of EV adoption across a nation, taking England as a case study. The examined factors include electricity and gas consumption, photovoltaic installations, and the total number of privately registered vehicles. These factors were analysed in the form of growth rates spanning from 2015 to 2021. The Spatial Error Model was used in the spatial regression analysis of the proposed factors. The obtained model (R2 = 85.6%) indicates that the variability of EV adoption in England can be explained by economic and environmental factors, with the highest impact on the adoption variability attributed to the reduction rate in electricity consumption.

Suggested Citation

  • M. Khader & R. E. Wilson & T. Tryfonas, 2025. "Factors influencing the spatial distribution of EV adoption – a case study in England," Transportation Planning and Technology, Taylor & Francis Journals, vol. 48(4), pages 674-692, May.
    • Handle: RePEc:taf:transp:v:48:y:2025:i:4:p:674-692
    DOI: 10.1080/03081060.2024.2449127
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