TY - GEN
T1 - Demand-Responsive Transit (DRT) Services vs. Fixed Route Transit
T2 - International Conference on Transportation and Development 2022, ICTD 2022
AU - Arif Khan, Muhammad
AU - Etminani-Ghasrodashti, Roya
AU - Kermanshachi, Sharareh
AU - Rosenberger, Jay Michael
AU - Foss, Ann
AU - Hladik, Greg
N1 - Publisher Copyright:
© ASCE. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Many universities in the United States provide students with subsidized transportation options through fixed-route buses or collaborative ridesharing services. Prior studies have explored the impacts of ridesharing services on the general public's ridership of fixed-route transit, but none have narrowed their focus to the student population. In this study, real-time ridership data of a fixed-route shuttle and a shared autonomous vehicle (SAV) service that provides services to the students at a university in Arlington, Texas, is used to analyze the impacts of the SAV service on the ridership of the existing fixed route transit. To complement our findings from the ridership data, we also analyzed survey responses from the SAV service users to explore their preferences for different types of mobility services. Current data analyses show a shift of ridership from fixed-route transit to flexible on-demand modes and indicate that students prefer flexible on-demand services. The findings from this study provide guidelines for universities as they make decisions relative to improving and/or expanding their existing mobility services.
AB - Many universities in the United States provide students with subsidized transportation options through fixed-route buses or collaborative ridesharing services. Prior studies have explored the impacts of ridesharing services on the general public's ridership of fixed-route transit, but none have narrowed their focus to the student population. In this study, real-time ridership data of a fixed-route shuttle and a shared autonomous vehicle (SAV) service that provides services to the students at a university in Arlington, Texas, is used to analyze the impacts of the SAV service on the ridership of the existing fixed route transit. To complement our findings from the ridership data, we also analyzed survey responses from the SAV service users to explore their preferences for different types of mobility services. Current data analyses show a shift of ridership from fixed-route transit to flexible on-demand modes and indicate that students prefer flexible on-demand services. The findings from this study provide guidelines for universities as they make decisions relative to improving and/or expanding their existing mobility services.
UR - http://www.scopus.com/inward/record.url?scp=85138719441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138719441&partnerID=8YFLogxK
U2 - 10.1061/9780784484371.008
DO - 10.1061/9780784484371.008
M3 - Conference contribution
AN - SCOPUS:85138719441
T3 - International Conference on Transportation and Development 2022: Application of Emerging Technologies - Selected Papers from the Proceedings of the International Conference on Transportation and Development 2022
SP - 77
EP - 87
BT - International Conference on Transportation and Development 2022
A2 - Wei, Heng
PB - American Society of Civil Engineers (ASCE)
Y2 - 31 May 2022 through 3 June 2022
ER -