Influence of choice experiment designs on eliciting preferences for autonomous vehicles

Due to potentially high initial purchase prices, automation is likely to hit the transportation market as on-demand autonomous taxis for short-term rentals. In this study, welfare measures associated with the use of autonomous taxis were estimated by conducting discrete choice experiments (DCEs) in New York City. Aiming at more realistic choice scenarios, a method for pivot-efficient designs is proposed and tested that exploits the distribution of attribute levels; however, analysis suggests the use of a simpler pivot-efficient design with average attributes of reference alternatives. In the authors' sample New Yorkers were willing to pay on average $3 less per self-driven trip. This reduction in the willingness to pay is coming from the fact that in current conditions not having a driver may be perceived as a nuisance rather than a convenience.

• Record URL:
  https://doi.org/10.1016/j.trpro.2018.10.044
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146518301984
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2018 Prateek Bansal and Ricardo A Daziano.
• Authors:
  • Bansal, Prateek
  • Daziano, Ricardo A
• Conference:
  • 11th International Conference on Transport Survey Methods
  • Location: Estérel Québec, Canada
  • Date: 2017-9-24 to 2017-9-29
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; References; Tables;
• Pagination: pp 474-481
• Serial:
  • Transportation Research Procedia
  • Volume: 32
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Costs; Intelligent vehicles; Mode choice; Taxi services; Taxicabs; Travel surveys
• Uncontrolled Terms: Willingness to pay
• Geographic Terms: New York (New York)
• Subject Areas: Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01689527
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 20 2018 3:33PM