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Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities

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  • Yan, Xiang
  • Zhao, Xilei
  • Han, Yuan
  • Hentenryck, Pascal Van
  • Dillahunt, Tawanna

Abstract

Emerging transportation technologies such as ridesourcing services (i.e. Uber, Lyft, and Via) are disrupting the transportation sector and transforming public transit. Some transit observers envision future public transit to be integrated systems with fixed-route services running along major corridors and ridesourcing servicing lower-density areas. A switch from a conventional fixed-route service model to this kind of integrated Mobility-on-Demand (MOD) transit system, however, may elicit varied responses from residents. This paper evaluates traveler preferences for a proposed integrated MOD transit system versus the existing fixed-route system, with a particular focus on disadvantaged travelers. We conducted a survey in two low-income localities, namely, Detroit and Ypsilanti, Michigan. A majority of survey respondents preferred a MOD transit system over a fixed-route one. Results of ordered logit models revealed a stronger preference for MOD transit among males, college graduates, and individuals who currently receive inferior transit services and have used Uber/Lyft before. By contrast, preferences varied little by age, income, race, or disability status. Survey results further imply that low technology self-efficacy can be a more serious barrier for many people to adopt MOD transit than lacking access to bank accounts, smartphones, or the internet. The most important benefit of MOD transit perceived by respondents is enhanced accessibility to destinations, whereas their major concerns include the need to actively request rides, possible transit-fare increases, and potential technological failures. Addressing the concerns of female riders and accommodating the needs of less technology-proficient individuals should be priorities for transit agencies that are considering MOD initiatives.

Suggested Citation

  • Yan, Xiang & Zhao, Xilei & Han, Yuan & Hentenryck, Pascal Van & Dillahunt, Tawanna, 2021. "Mobility-on-demand versus fixed-route transit systems: An evaluation of traveler preferences in low-income communities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 481-495.
  • Handle: RePEc:eee:transa:v:148:y:2021:i:c:p:481-495
    DOI: 10.1016/j.tra.2021.03.019
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    Cited by:

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    3. Xuemei Zhou & Guohui Wei & Yunbo Zhang & Qianlin Wang & Huanwu Guo, 2023. "Optimizing Multi-Vehicle Demand-Responsive Bus Dispatching: A Real-Time Reservation-Based Approach," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    4. Rico Krueger & Michel Bierlaire & Prateek Bansal, 2022. "A Data Fusion Approach for Ride-sourcing Demand Estimation: A Discrete Choice Model with Sampling and Endogeneity Corrections," Papers 2212.02178, arXiv.org.
    5. Zhu, Siying & Cai, Yutong & Wang, Mengtong & Wang, Hua & Meng, Qiang, 2023. "How will China–Singapore International Land–Sea Trade Corridor affect route choice behaviour? A discrete choice model," Transport Policy, Elsevier, vol. 144(C), pages 11-22.
    6. Andrzej Bąk & Elżbieta Nawrocka & Daria E. Jaremen, 2022. "“Sustainability” as a Motive for Choosing Shared-Mobility Services: The Case of Polish Consumers of Uber Services," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    7. Rich, Jeppe & Seshadri, Ravi & Jomeh, Ali Jamal & Clausen, Sofus Rasmus, 2023. "Fixed routing or demand-responsive? Agent-based modelling of autonomous first and last mile services in light-rail systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Ghimire, Subid & Bardaka, Eleni & Monast, Kai & Wang, Juan & Wright, Waugh, 2024. "Policy, management, and operation practices in U.S. microtransit systems," Transport Policy, Elsevier, vol. 145(C), pages 259-278.
    9. Aravind, Avani & Venthuruthiyil, Suvin P. & Mishra, Sabyasachee, 2024. "Equity and accessibility assessment of fixed route transit systems integrated with on-demand feeder services," Journal of Transport Geography, Elsevier, vol. 121(C).

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