Will autonomous vehicles change residential location and vehicle ownership? Glimpses from Georgia

Many studies have begun investigating possible transportation landscapes in the autonomous vehicle (AV) era, but empirical results on longer-term decisions are limited. The authors address this gap using data collected from a survey designed and implemented for Georgia residents in 2017–2018. Focusing on a hypothetical all-AV future, this section of the survey included questions regarding advantages/disadvantages of AVs, short-term mode choice impacts, medium-term impacts on activity patterns, and long-term behavioral changes – specifically, whether/how AVs will influence individuals to change residential location and the number of cars in the household. The authors hypothesize that AVs could act in concert with attitudinal preferences to stimulate changes in these long-term decisions, and that some medium-term activity changes triggered by AVs could motivate people to relocate their residence or shed household vehicles. The authors applied exploratory factor analysis to measure the perceived likelihood that AVs would prompt various medium-term changes. The authors then included some of those measures, among other variables, in a cross-nested logit (CNL) model of the choice of the residential location/vehicle ownership bundle. Although more than half of respondents expected “no change” in their bundle, the authors found that younger, lower income, pro-suburban, and pro-non-car-mode individuals were more likely to anticipate changing their selections. In addition, some expected medium-term impacts of AVs influenced changes in these longer-term choices. The authors further applied the CNL model to two population segments (Atlanta and non-Atlanta-region residents). The authors found notable improvement in goodness of fit and different effects of factors across segments, signifying the existence of geography-related taste heterogeneity.

• Record URL:
  https://doi.org/10.1016/j.trd.2020.102291
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920919312283
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2020 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Kim, Sung Hoo
  • Mokhtarian, Patricia L
  • Circella, Giovanni
• Publication Date: 2020-5

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 102291
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 82
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Attitudes; Automobile ownership; Autonomous vehicles; Logits; Residential location
• Geographic Terms: Georgia
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01739216
• Record Type: Publication
• Files: TRIS
• Created Date: May 15 2020 11:07AM