Year: 2025
Type: article
Abstract: While electric vehicle (EV) sales continue to rise, EV ownership remains inaccessible to large portions of the population. Research by Helen Zheng and Arijit De addresses this by using geospatial analysis and agent-based simulations (ABSs) to identify priority areas for EV infrastructure in Greater Manchester (GM). In this article, they discuss how these steps will help the UK reduce its domestic transport emissions to net zero, while preventing low-income and socially disadvantaged communities from being left behind. Domestic transport is the UK’s largest source of emissions, accounting for 28% of the total, with 89% of this coming from road vehicles. There are two main groups at risk of being left behind in the transition to EVs: those with low incomes living in transport poverty, and those without off-street parking. To support these groups in the journey to net zero, local and national government should implement more shared mobility services (for example e-car sharing clubs), alongside improvements to public transport.
Authors: Zheng, Wei ; id_orcid 0000-0003-3655-0429, De, Arijit; id_orcid 0000-0002-0361-5911
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7111520799
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