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Can Mobility-on-Demand services do better after discerning reliability preferences of riders?


  • Prateek Bansal
  • Yang Liu
  • Ricardo Daziano
  • Samitha Samaranayake


We formalize one aspect of reliability in the context of Mobility-on-Demand (MoD) systems by acknowledging the uncertainty in the pick-up time of these services. This study answers two key questions: i) how the difference between the stated and actual pick-up times affect the propensity of a passenger to choose an MoD service? ii) how an MoD service provider can leverage this information to increase its ridership? We conduct a discrete choice experiment in New York to answer the former question and adopt a micro-simulation-based optimization method to answer the latter question. In our experiments, the ridership of an MoD service could be increased by up to 10\% via displaying the predicted wait time strategically.

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  • Prateek Bansal & Yang Liu & Ricardo Daziano & Samitha Samaranayake, 2019. "Can Mobility-on-Demand services do better after discerning reliability preferences of riders?," Papers 1904.07987,
  • Handle: RePEc:arx:papers:1904.07987

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    1. Alexandra König & Tabea Bonus & Jan Grippenkoven, 2018. "Analyzing Urban Residents’ Appraisal of Ridepooling Service Attributes with Conjoint Analysis," Sustainability, MDPI, Open Access Journal, vol. 10(10), pages 1-16, October.
    2. Liu, Yang & Blandin, Sebastien & Samaranayake, Samitha, 2019. "Stochastic on-time arrival problem in transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 119(C), pages 122-138.
    3. Michel Gendreau & Ola Jabali & Walter Rei, 2016. "50th Anniversary Invited Article—Future Research Directions in Stochastic Vehicle Routing," Transportation Science, INFORMS, vol. 50(4), pages 1163-1173, November.
    4. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
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