Clusters of potential autonomous vehicles users according to propensity to use individual versus shared vehicles

As the widespread use of autonomous vehicles (AVs) becomes increasingly likely, an important consideration is the extent to which individuals prefer either private ownership or shared use modes. Both modes are currently evolving, each with distinct but overlapping challenges. Understanding the preferences of different population segments can provide insights into where to focus initial efforts to attract individuals into the market, especially in terms of promoting the uptake of shared AVs to optimise the potential positive outcomes of AVs (e.g., crash reduction) while reducing possible negative outcomes (e.g., increased congestion). The results from a sample of 1345 Australians aged 16 + years (97% of whom were drivers) were analysed using latent profile analysis. Five discrete classes were identified on the basis of their (i) self-reported knowledge of AVs; (ii) perceptions of the positive and negative outcomes of AVs; and (iii) AV usage intentions. The classes were titled Non-adopters (29% of the sample), Ride-sharing (20%), AV ambivalent (19%), Likely adopters (17%), and First movers (14%). The results indicate the types of individuals who may be most likely to be early adopters and the implications for public policies designed to encourage socially optimal forms of adoption.

• Record URL:
  https://doi.org/10.1016/j.tranpol.2019.01.010
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0967070X18306395
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2019 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Pettigrew, SImone
  • Dana, Liyuwork
  • Norman, Richard
• Publication Date: 2019-4

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 13-20
• Serial:
  • Transport Policy
  • Volume: 76
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Attitudes; Automobile ownership; Autonomous vehicles; Market segmented groups; Vehicle sharing
• Geographic Terms: Australia
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01696648
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 28 2019 9:40AM