Understanding bike-sharing as a commute mode in Singapore: An agent-based simulation approach

Although bike-sharing has gained great popularity as a sustainable commuting mode around the world, it has been performed poorly regarding its low mode share in some countries, including Singapore. As a response, this study proposes a novel research framework that incorporates a mixed logit model and customized agent-based travel simulations to investigate the underlying reasons behind the unpopularity of bike-sharing. A mixed logit model is calibrated according to the responses from a travel survey to understand commuters’ perceptions towards bike-sharing in Singapore. The commuters’ perceptions obtained are then incorporated in tailored agent-based simulations to test the effects of promotion methods on the resulting mode share of bike-sharing as a commuting mode. The numerical experiment conducted in Singapore shows that, even with a large amount of subsidies on bike-sharing and timely relocation operations, commuters in Singapore are still very reluctant to take it as a daily commute mode.

• Record URL:
  https://doi.org/10.1016/j.trd.2023.103859
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920923002560
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2023 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Cai, Yutong
  • 0000-0002-4850-7148
  • Ong, Ghim Ping
  • Meng, Qiang
• Publication Date: 2023-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 103859
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 122
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Bicycle commuting; Logits; Mode choice; Perception; Simulation; Sustainable transportation; Vehicle sharing
• Geographic Terms: Singapore
• Subject Areas: Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01890503
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 23 2023 10:14AM