Commuters’ Valuation of Travel Time in Autonomous Vehicles and Travel Mode Choices in Small and Medium-Sized Metropolitan Areas

Autonomous vehicles (AVs) and shared autonomous vehicles (SAVs) free people from the driving task and offer the possibility of customized vehicle space. They may dramatically improve the comfort and productivity of travel, and thereby possibly reduce the value of travel time. This paper reports on a stated choice experiment to examine to how AVs could influence people’s valuation of travel time and mode choices and to forecast the mode choices when AVs are widely available in small and medium-sized metropolitan areas. A mixed logit model is estimated and used in the scenario simulations. The results of this study show that AVs/SAVs have modest reductions in the value of travel time, achieve a greater mode share in more urban areas, but have a larger mode share increase in suburban and rural areas when the travel cost decrease. The results could be used to justify long-range transportation investment decisions and identify transportation-pricing schemes in small and medium-sized metropolitan areas.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Zhong, Haotian
  • Li, Wei
  • Burris, Mark W
  • Sinha, Kumares C
  • Talebpour, Alireza
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 19p

Subject/Index Terms

• TRT Terms: Commuters; Forecasting; Intelligent vehicles; Logits; Metropolitan areas; Modal split; Mode choice; Stated preferences; Travel time; Value of time; Vehicle sharing
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01697598
• Record Type: Publication
• Report/Paper Numbers: 19-01816
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM