Revisiting electric vehicle charging station accessibility: A home and workplace dual-scenario perspective

The strategic deployment of public electric vehicle charging stations (EVCSs) is imperative for achieving transportation decarbonization. While EVCS accessibility is a critical factor influencing user experience and the adoption of electric vehicles, prior assessments have evaluated EVCS accessibility solely based on residential locations, overlooking the actual daily mobility patterns of vehicle owners. This oversight may result in an underestimate of potential charging opportunities. So this study uses home-workplace (H W) location data derived from mobile phone records to reevaluate EVCS accessibility and its associated equity status. We employed the Gaussian two-step floating catchment area (G2SFCA) to calculate accessibility at both workplace and residential locations and aggregated residents' EVCS accessibility at the residential location. The results indicate that: (1) accessibility improved for 99.94 % of residents, with 21.64 % experiencing an average reduction of 627.67 m in travel distance to EVCS; (2) equity in EVCS accessibility markedly increased, evidenced by a reduction in the Gini coefficient from 0.49 to 0.26; (3) the underlying drivers of the proposed dual-perspective accessibility index reveal that “GDP”, “Building density”, “Traffic flow”, and “Distance to the nearest subway station” show high feature importance scores. Specifically, the home scenario model is also significantly influenced by “Housing age” and “Shopping facilities”, while “Distance to the nearest primary road” and “Plot ratio” are key drivers in the workplace scenario. The findings can help alleviate (potential) consumers' charging anxiety and encourage planners to shift their focus to areas with low EVCS accessibility from both home and workplace. Additionally, the proposed methodology provides actionable insights and can be adapted for broader urban accessibility studies. • This study reevaluates EVCS accessibility by incorporating charging opportunities at workplaces. • Mobile phone data supports linking accessibility at workplaces to residents' homes. • Considering workplace charging opportunities improves the accessibility for 99.94 % of residents. • Furthermore, the equity of EVCS accessibility is also enhanced, with the Gini coefficient decreasing from 0.49 to 0.26.

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Publication Details

Journal
Journal of Transport Geography
Published
2025-11-20
DOI
https://doi.org/10.1016/j.jtrangeo.2025.104488
Citations
2
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
1.46
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article

Revisiting electric vehicle charging station accessibility: A home and workplace dual-scenario perspective

Kaihan Zhang, Jiayu Liu, Qinyu Cui, Ziqi Yang et al.
2 citations
Journal of Transport Geography
Electric Vehicles and Infrastructure
1.46
article

Revisiting electric vehicle charging station accessibility: A home and workplace dual-scenario perspective

Kaihan Zhang, Jiayu Liu, Qinyu Cui, Ziqi Yang, Leshan Cai
article en
2 citations

Abstract

The strategic deployment of public electric vehicle charging stations (EVCSs) is imperative for achieving transportation decarbonization. While EVCS accessibility is a critical factor influencing user experience and the adoption of electric vehicles, prior assessments have evaluated EVCS accessibility solely based on residential locations, overlooking the actual daily mobility patterns of vehicle owners. This oversight may result in an underestimate of potential charging opportunities. So this study uses home-workplace (H W) location data derived from mobile phone records to reevaluate EVCS accessibility and its associated equity status. We employed the Gaussian two-step floating catchment area (G2SFCA) to calculate accessibility at both workplace and residential locations and aggregated residents' EVCS accessibility at the residential location. The results indicate that: (1) accessibility improved for 99.94 % of residents, with 21.64 % experiencing an average reduction of 627.67 m in travel distance to EVCS; (2) equity in EVCS accessibility markedly increased, evidenced by a reduction in the Gini coefficient from 0.49 to 0.26; (3) the underlying drivers of the proposed dual-perspective accessibility index reveal that “GDP”, “Building density”, “Traffic flow”, and “Distance to the nearest subway station” show high feature importance scores. Specifically, the home scenario model is also significantly influenced by “Housing age” and “Shopping facilities”, while “Distance to the nearest primary road” and “Plot ratio” are key drivers in the workplace scenario. The findings can help alleviate (potential) consumers' charging anxiety and encourage planners to shift their focus to areas with low EVCS accessibility from both home and workplace. Additionally, the proposed methodology provides actionable insights and can be adapted for broader urban accessibility studies. • This study reevaluates EVCS accessibility by incorporating charging opportunities at workplaces. • Mobile phone data supports linking accessibility at workplaces to residents' homes. • Considering workplace charging opportunities improves the accessibility for 99.94 % of residents. • Furthermore, the equity of EVCS accessibility is also enhanced, with the Gini coefficient decreasing from 0.49 to 0.26.

Journal of Transport GeographyVol. 130
Tongji University (CN), Korea Advanced Institute of Science and Technology (KR), Shenzhen University (CN), Lanzhou Jiaotong University (CN), Shaanxi Normal University (CN), South China University of Technology (CN)
Openalex Percentile: Top 14%
Electric Vehicles and Infrastructure
1.46
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