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

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.

• Record URL:
  • https://doi.org/10.1016/j.tre.2018.03.014
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1366554517308220
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Guo, Fang
  • Yang, Jun
  • Lu, Jianyi
• Publication Date: 2018-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 1-18
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 114
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Anxiety; Distance; Electric vehicle charging; Electric vehicles; Integer programming; Location; Shortest path algorithms; Vehicle range
• Uncontrolled Terms: Battery charging stations (Electric vehicles)
• Subject Areas: Highways; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01673080
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 22 2018 4:42PM