Identifying individuals’ perceptions, attitudes, preferences, and concerns of shared autonomous vehicles: During- and post-implementation evidence

Ronik Ketankumar Patel, Roya Etminani-Ghasrodashti, Sharareh Kermanshachi, Jay Michael Rosenberger, Apurva Pamidimukkala, Ann Foss

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Shared autonomous vehicles (SAVs) have the potential to improve the efficiency, mobility, safety, and affordability of transportation systems; however, consumers will determine whether they can be successfully integrated into the current systems. This study aims to identify the perceptions, attitudes, preferences, and concerns of those who have and have not taken advantage of the AV technology by sharing the results of a self-driving technology demonstration in Arlington, Texas. A two-step approach was employed for this study: (a) quantitative analysis of a self-reported survey of SAV users and non-users who experienced SAVs on the road, and (b) a qualitative study of interviews conducted during the post-implementation phase of the project. The results from an ordinal logistic regression of a self-reported survey showed that the ease of using SAVs because of not having to worry about parking is positively associated with individuals' willingness to use them in the future. In contrast, concerns about possible confusion arising between human drivers and SAVs on the street decrease willingness to use SAVs. A qualitative analysis of interviews conducted on this subject indicated that waiting time, pick-up and drop-off locations, and the ability to make tight turns in intersections are the three major concerns. Potential riders anticipate that SAVs will be more cost-efficient, safer, and environmentally friendly than owner-operated vehicles. This study provides insights into the perceptions and attitudes of SAV users and non-users and identifies strategies for successfully integrating an SAV service with an existing on-demand ridesharing service, thereby enhancing future acceptance of the technology.

Original languageEnglish (US)
Article number100785
JournalTransportation Research Interdisciplinary Perspectives
Volume18
DOIs
StatePublished - Mar 2023

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Automotive Engineering
  • Transportation
  • General Environmental Science
  • Urban Studies
  • Management Science and Operations Research

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