The battery charging station location problem: Impact of users’ range anxiety and distance convenience

Fang Guo, Jun Yang and Jianyi Lu

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 114, issue C, 1-18

Abstract: Key to the mass adoption of electric vehicles (EV) is establishing a sufficient recharging infrastructure network, based on customer behavior and psychology. This study examines the battery charging station location problem, considering users’ range anxiety and distance deviations, two major barriers to the mass adoption of EV. The problem is formulated as a bi-level integer programming model based on a range anxiety function. Then, the problem is solved using an adaptive large-neighborhood search, combined with a k-shortest path algorithm and an iterative greedy heuristic. Finally, the effects of parameters are analyzed in the context of a real-world road network.

Keywords: Electric vehicles; Battery charging station; Location model; Range anxiety; Distance deviation (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (33)

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DOI: 10.1016/j.tre.2018.03.014

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