Analysis of public charging station accessibility indicates varying influences on travel segments of new energy vehicles in Shanghai.
The rationality of the spatial configuration of public charging stations is the key to alleviating "range anxiety" of car owners and improving urban infrastructure services. This paper introduces OpenStreetMapnx (OSMnx) and takes Shanghai, the city with the highest number of new energy vehicles, as the research area. By considering the travel chain process of new energy vehicle owners, the study calculates the accessibility from vehicles to charging and from charging stations to service facilities, and identifies its spatial pattern and influencing factors. Research shows that: (1) During the travel period from residence to charging (R2C), the number of public charging stations in Shanghai increases as the time range expands, showing a spatial distribution pattern of gradually decreasing from the central urban area to the suburbs and a centripetal clustering trend; (2) The travel section from charging to service facilities (C2S), accessibility from charging stations to recreational facilities is the highest, followed by medical facilities, while accessibility to educational facilities is the lowest, showing a positive clustering distribution feature in space; (3) The impact of population distribution, economic foundation, and government role on the accessibility of different travel segments are different, but regional population distribution and social fixed assets investment have significant impacts on the accessibility of the whole travel chain of Shanghai public charging stations.
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Yaoyan et al. (2025) studied this question.
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