Mode choice analysis in urban transport with shared battery electric vehicles: A stated-preference case study in Beijing, China

In recent years, with promotion of the sharing economy, one-way carsharing has received increasing attention. With the technology advances in battery electric vehicles, owing to their zero emissions, an increasing number of carsharing companies are replacing their fleets with battery electric vehicles. This paper provides insights into the mode choice mechanism of travelers when battery electric vehicle sharing is incorporated in an urban transport system. A nested logit model is developed to jointly analyze the mode choice and route-vehicle choice under various trip scenarios. The impacts of the level-of-service variables including the access distance and remaining range are investigated. The results show that battery electric vehicle sharing can serve as a substitute for taxis in long-distance trips. Further, the access distance to a shared battery electric vehicle has a more significant impact on the mode choice of a traveler, which is 1.78 times that of the impact of the egress distance in the utility function. It is also found that when the trip distance increases, a traveler tends to become more tolerant to the access distance and requires a longer remaining range of vehicles.

• Record URL:
  https://doi.org/10.1016/j.tra.2020.01.009
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0965856419304598
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09658564
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Jin, Fanglei
  • An, Kun
  • Yao, Enjian
• Publication Date: 2020-3

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 95-108
• Serial:
  • Transportation Research Part A: Policy and Practice
  • Volume: 133
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0965-8564
  • Serial URL: http://www.sciencedirect.com/science/journal/09658564

Subject/Index Terms

• TRT Terms: Case studies; Electric vehicles; Logits; Mode choice; Stated preferences; Urban transportation; Vehicle sharing
• Geographic Terms: Beijing (China)
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01735166
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 30 2020 12:35PM