TY - GEN
T1 - Impacts of Shared Autonomous Vehicles (SAVs) on Individuals' Travel Behavior
T2 - 18th International Conference on Automated People Movers and Automated Transit Systems, APM-ATS 2022
AU - Patel, Ronik Ketankumar
AU - Etminani-Ghasrodashti, Roya
AU - Kermanshachi, Sharareh
AU - Michael Rosenberger, Jay
AU - Foss, Ann
N1 - Publisher Copyright:
© 2022 ASCE.
PY - 2022
Y1 - 2022
N2 - Literature is available on the adoption of shared autonomous vehicles (SAVs), but most of it is theoretical and lacks data provided by people who have actually ridden in SAVs. This study utilizes the responses to a survey conducted during the deployment phase of an SAV pilot project in Arlington, Texas, to examine the attitudes of segments of the population who are users of the service. Each group was profiled, based on their attitudes, travel behavior, and sociodemographic characteristics. Two cluster segments were obtained, using the K-Means cluster analysis, and then the modes of transportation primarily used by each group were explored, using a one-way ANOVA to test the mean difference across the two clusters. The results indicated that the first cluster group (SAV Optimists) was comprised primarily of highly educated males between the ages of 18 and 34 years, whose daily travel consisted of either riding a bike or walking. The second cluster segment (SAV Pessimists) included young females with high school or some post-secondary education. The results suggested that females prefer private transportation and are less interested in riding SAVs or recommending them to others.
AB - Literature is available on the adoption of shared autonomous vehicles (SAVs), but most of it is theoretical and lacks data provided by people who have actually ridden in SAVs. This study utilizes the responses to a survey conducted during the deployment phase of an SAV pilot project in Arlington, Texas, to examine the attitudes of segments of the population who are users of the service. Each group was profiled, based on their attitudes, travel behavior, and sociodemographic characteristics. Two cluster segments were obtained, using the K-Means cluster analysis, and then the modes of transportation primarily used by each group were explored, using a one-way ANOVA to test the mean difference across the two clusters. The results indicated that the first cluster group (SAV Optimists) was comprised primarily of highly educated males between the ages of 18 and 34 years, whose daily travel consisted of either riding a bike or walking. The second cluster segment (SAV Pessimists) included young females with high school or some post-secondary education. The results suggested that females prefer private transportation and are less interested in riding SAVs or recommending them to others.
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U2 - 10.1061/9780784484388.007
DO - 10.1061/9780784484388.007
M3 - Conference contribution
AN - SCOPUS:85138795728
T3 - Automated People Movers and Automated Transit Systems 2022 - Proceedings of the 18th International Conference on Automated People Movers and Automated Transit Systems
SP - 71
EP - 80
BT - Automated People Movers and Automated Transit Systems 2022 - Proceedings of the 18th International Conference on Automated People Movers and Automated Transit Systems
A2 - Sproule, William J.
PB - American Society of Civil Engineers (ASCE)
Y2 - 31 May 2022 through 3 June 2022
ER -