Public charging station location determination for electric ride-hailing vehicles based on an improved genetic algorithm

In recent years, electric ride-hailing has increased considerably in the taxi industry with the development of battery electric vehicles (BEVs) and implementation of greenhouse gas (GHG) emission regulations. Private BEVs are charged mostly in private garages, while electric ride-hailing services require public charging stations (CSs). This work uses an improved genetic algorithm (GA) to locate public CSs by considering the investment of CS operators and the travel costs of BEV owners. A case study is presented with large-scale order data collected from the ride-hailing fleet of the city of Haikou and charging data from the electric ride-hailing fleet of the city of Shanghai. The elastic demand for electric ride-hailing is also considered by incorporating feedback between congestion at the CS and the geographical area. The proposed methodology uses the multipopulation genetic algorithm (MPGA) to provide more feasible allocations for public CSs and could reduce the total cost by 7.6%.

• Record URL:
  https://doi.org/10.1016/j.scs.2021.103181
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2210670721004625
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Jiale
  • Liu, Zhenbo
  • Wang, Xuefei
• Publication Date: 2021-11

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Sustainable Cities and Society
  • Volume: 74
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Electric vehicles; Genetic algorithms; Location; Ridesourcing; Service stations
• Geographic Terms: Haikou Shi (China); Shanghai (China)
• Subject Areas: Energy; Highways; Passenger Transportation; Terminals and Facilities; Vehicles and Equipment;

Filing Info

• Accession Number: 01783726
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 29 2021 9:33AM