Impact of Automated Vehicles on Travel Mode Preference for Different Trip Purposes and Distances

Because of technology penetration in the transportation system, the automated vehicle (AV) is set to be a future mode of transport. Given the major implications of AVs, investigation of the potential impact of these vehicles on travel behavior is vital for a wide range of purposes, especially for policy making. In this study, we report the results of a stated preference survey distributed in the Netherlands in which respondents had to choose between conventional cars, public transportation, and AVs for different travel distances and trip purposes. Having collected information from 663 respondents we conducted an integrated study incorporating classic trip attributes (such as travel time and travel costs), attitudinal factors, and socio-economic variables to understand people’s choices. We studied a particular form of AVs, automated driving transport service (ADTS), which we defined as an automatically controlled door-to-door transport service provided by a vehicle with similar dimensions to a conventional car, albeit driverless. Results suggest that travelers’ mode preferences vary significantly for different travel distances and purposes. We found that conventional cars and public transportation are perceived as being the least attractive alternatives in relation to in-vehicle travel time on short- and long-distance commuting trips, respectively. Preference for ADTS lay between the car and public transportation, neither the best nor the worst alternative in all scenarios. Our findings suggest that ADTS adopters are likely to prefer this mode for long-distance leisure trips rather than short-distance commuting trips.

• Record URL:
  https://doi.org/10.1177/0361198119841032
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Authors:
  • Ashkrof, Peyman
  • Homem de Almeida Correia, Gonçalo
  • Cats, Oded
  • van Arem, Bart
• Publication Date: 2019-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 607-616
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2673
  • Issue Number: 5
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Choice models; Intelligent vehicles; Mode choice; Stated preferences; Travel behavior; Trip length; Trip purpose
• Geographic Terms: Netherlands
• Subject Areas: Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01701786
• Record Type: Publication
• Report/Paper Numbers: 19-01058
• Files: TRIS, TRB, ATRI
• Created Date: Apr 15 2019 2:06PM