Incorporating Habitual Behavior into Mode Choice Modeling in Light of Emerging Mobility Services

This paper presents a study in examining potential behavioral changes in light of emerging mobility options through a stated preference (SP) choice experiment. Particular focus was placed on incorporating habitual behavior into the modeling framework. Two parameters were constructed and explored in this study: habits associated with existing modes, and private mobility auxiliary expenses. A heuristic combined index was developed to quantify habitual strength of each mode based on their past behavior frequency and response frequency measures. Private mobility add-on expenses, i.e., parking cost and the time spent to find parking, were also analyzed. An error component model was developed to assess the impacts of habitual behavior and private mobility expenses on the propensity to shift from conventional modes (Auto driver, auto passenger, or public transit) to emerging modes (exclusive and shared on-demand services). The model was specifically designed to incorporate both random parameters and nested structure. Results showed that both parameters played significant roles in mobility choice decisions, and that their effects can compete with most of the traditional factors such as personal or trip attributes. Specifically, habits acted as a barrier toward behavioral changes, while the disutility factors associated with private mobility expenses could help break such habits. Market analysis based on habitual pattern and private mobility expense profiles can provide a foundation for better assessment of future travel behavior trends. This also paves the path towards the development of effective strategies in promoting alternative mobility options.

• Record URL:
  • https://doi.org/10.1016/j.scs.2019.101735
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2210670718327525
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
• Supplemental Notes:
  • © 2019 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Asgari, Hamidreza
  • Jin, Xia
  • 0000-0002-8660-3528
• Publication Date: 2020-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Serial:
  • Sustainable Cities and Society
  • Volume: 52
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2210-6707
  • Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2

Subject/Index Terms

• TRT Terms: Choice models; Heuristic methods; Mode choice; Ridesourcing; Shared mobility; Stated preferences; Travel behavior
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01717631
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 19 2019 3:10PM