Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane

Growing concerns, regarding transport disadvantage and increased socioeconomic disparities, demand innovative ways to improve equity and make transportation systems smarter. One of the most anticipated developments within the field of smart mobility is driving automation systems. Autonomous vehicles (AVs) have the potential to improve accessibility, affordability, safety and efficiency of transport systems, but come with risks including the intensification of private vehicle travel. Understanding public awareness is an important step to determine whether motivation and intention to use AVs will impact on its potential. This paper aims to investigate factors influencing public awareness of AVs as a solution to transport disadvantage. The study applies an ordinal logistic regression analysis to analyze survey data collected from the residents of Brisbane (Australia). The findings reveal that awareness is positively correlated within young and middle-aged adults, low-income residents, disability, public transport users, and those who feel unsafe on public transport, while an increase in the number of household vehicles is negatively correlated. The study provides insights into public awareness towards the potential benefits of AVs, and highlights potential opportunities and challenges associated with these expectations.

• Record URL:
  https://doi.org/10.1016/j.trf.2021.08.016
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1369847821002023
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Butler, Luke
  • Yigitcanlar, Tan
  • Paz, Alexander
• Publication Date: 2021-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 256-267
• Serial:
  • Transportation Research Part F: Traffic Psychology and Behaviour
  • Volume: 82
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1369-8478
  • Serial URL: http://www.sciencedirect.com/science/journal/13698478

Subject/Index Terms

• TRT Terms: Acceptance; Autonomous vehicles; Intelligent vehicles; Public opinion
• Geographic Terms: Brisbane (Australia)
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01784565
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 12 2021 4:52PM