Modeling Americans’ autonomous vehicle preferences: A focus on dynamic ride-sharing, privacy & long-distance mode choices

Rapid advances in technologies have accelerated the timeline for public use of fully-automated and communications-connected vehicles. Public opinion on self-driving vehicles or AVs is evolving rapidly, and many behavioral questions have not yet been addressed. This study emphasizes AV mode choices, including Americans’ willingness to pay (WTP) to ride with a stranger in a shared AV fleet vehicle on various trip types and the long-distance travel impacts of AVs. Exactly 2,588 complete responses to a stated-preference survey with 70 questions provide valuable insights on privacy concerns, safety and dynamic ride-sharing with strangers, long-distance travel and preferences for smarter vehicles and transport systems. Two hurdle models (which allow for a high share of zero-value responses) were estimated: one to predict WTP to share a ride and another to determine WTP to anonymize location while using AVs, and a multinomial logit was developed to estimate long-distance mode choices with AVs and SAVs available. Results suggest that WTP to share rides will rise over time, for a variety of reasons, and SAV use will be particularly popular for long-distance business travel. Elasticity estimates suggest that privacy may not be an important concern for AV-based travel.

• Record URL:
  https://doi.org/10.1016/j.techfore.2019.119792
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0040162518316056
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00401625
• Supplemental Notes:
  • © 2019 Elsevier Inc. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Gurumurthy, Krishna Murthy
  • Kockelman, Kara M
• Publication Date: 2020-1

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 119792
• Serial:
  • Technological Forecasting and Social Change
  • Volume: 150
  • Issue Number: 0
  • Publisher: Elsevier Science Publishing Company, Incorporated
  • ISSN: 0040-1625
  • Serial URL: http://www.sciencedirect.com/science/journal/00401625

Subject/Index Terms

• TRT Terms: Automobile ownership; Autonomous vehicles; Mode choice; Multinomial logits; Privacy; Ridesharing; Stated preferences; Trip length
• Geographic Terms: United States
• Subject Areas: Highways; Passenger Transportation; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01726555
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 23 2019 5:15PM