How Riders Use Shared Autonomous Vehicles

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Autonomous vehicles (AVs) are expected to play a crucial role in achieving sustainable transportation in the near future, making it essential to acquire insights into the public's acceptance of them so they can be successfully integrated into the existing infrastructure. This study uses data obtained from riders of RAPID (Rideshare Automation Payment Integration Demonstration), a shared autonomous vehicle (SAV) service in Arlington, Texas, to identify the factors that influence how frequently riders take advantage of SAV services. A structured survey was developed to gather data related to the riders' general travel behavior, attitudes towards the SAV service, frequency of use, and sociodemographic characteristics. A conceptual framework was developed based on the relationship between the key variables and the frequency of SAV usage. Structural equation modelling was employed to explore the direct relationship between the users' sociodemographic characteristics, SAV attitudes, and general travel behavior and the impact on frequency of use. The results indicated that race, trip purpose, waiting time, and the availability of a private vehicle significantly influence the use of RAPID. Our model also identifies how users' perception of the service affects how often it is used. This study provides insight into SAV services and its use in low-density areas that will enable transportation planners and policymakers to develop policies and a transportation infrastructure that will enhance SAV operations universally.

Original languageEnglish (US)
Title of host publicationAutomated People Movers and Automated Transit Systems 2022 - Proceedings of the 18th International Conference on Automated People Movers and Automated Transit Systems
EditorsWilliam J. Sproule
PublisherAmerican Society of Civil Engineers (ASCE)
Pages81-93
Number of pages13
ISBN (Electronic)9780784484388
DOIs
StatePublished - 2022
Event18th International Conference on Automated People Movers and Automated Transit Systems, APM-ATS 2022 - Seattle, United States
Duration: May 31 2022Jun 3 2022

Publication series

NameAutomated People Movers and Automated Transit Systems 2022 - Proceedings of the 18th International Conference on Automated People Movers and Automated Transit Systems

Conference

Conference18th International Conference on Automated People Movers and Automated Transit Systems, APM-ATS 2022
Country/TerritoryUnited States
CitySeattle
Period5/31/226/3/22

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Transportation

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