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A user-choice model for locating congested fast charging stations

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  • Yang, Woosuk

Abstract

We consider a maximal coverage problem for locating congested fast charging stations and deploying chargers in a stochastic environment. A user-choice behaviour considering various factors is modelled. A user-choice model fully reflecting it and system-choice models partially reflecting it are derived. A case study shows the decisions by the system-choice models may result in huge congestion from the user-choice behaviour, and it gives the following main managerial implications for the user-choice model. The model seems to make robust location decisions for different settings of budget and utility function parameters, and it may give less coverage when allowing a long detour.

Suggested Citation

  • Yang, Woosuk, 2018. "A user-choice model for locating congested fast charging stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 189-213.
    • Handle: RePEc:eee:transe:v:110:y:2018:i:c:p:189-213
    DOI: 10.1016/j.tre.2017.11.009
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    7. Lin, Haiyang & Bian, Caiyun & Wang, Yu & Li, Hailong & Sun, Qie & Wallin, Fredrik, 2022. "Optimal planning of intra-city public charging stations," Energy, Elsevier, vol. 238(PC).
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