Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey

This paper aims to advance the understanding of the potential impacts of CAVs on trade-offs between key travel- and lifestyle-related variables by investigating preferences for combinations of housing and travel options for the commute. To this end, a stated preference survey among residents of the Sydney metropolitan area in Australia was conducted. The survey featured a stated choice experiment, which required respondents to jointly choose a housing option and a mobility tool for the commute. The choice set of mobility tools included the alternatives conventional car, self-driving car and public transport. In multiple scenarios, attributes such as housing costs, commute times and commute cost were manipulated. For the analysis of the stated choice data, a variety of mixed multinomial logit models are estimated. The estimated models include a mixed multinomial logit model with a multivariate normal mixing distribution, a latent class multinomial logit model and a mixtures-of-normals multinomial logit model. By and large, the estimation results do not suggest any substantial differences in the implicit values of travel time by each of the considered mobility options.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Krueger, Rico
  • Rashidi, Taha H
  • Dixit, Vinayak V
• 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: References;
• Pagination: 5p

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Mode choice; Multinomial logits; Residential location; Stated preferences; Surveys
• Geographic Terms: Sydney (Australia)
• Subject Areas: Highways; Society; Vehicles and Equipment;

Filing Info

• Accession Number: 01697944
• Record Type: Publication
• Report/Paper Numbers: 19-04915
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:51PM