Ride-Sharing Efficiency and Level of Service under Alternative Demand , Behavioral and 1 Pricing Settings

1 Previous studies examining ride-sharing potential assumed that rides can be shared as long as the 2 incurred delay does not exceed a certain threshold. Conversely, we formulate willingness to share 3 as a compensatory cost function at the individual passenger level. The latter considers trade-offs 4 between delays caused by detours, travel discomfort related to sharing a vehicle and a fare discount 5 associated with a shared ride. Next to finding how these behavioral preferences and the offered 6 discount structure affect the efficiency and level of service of ride-sharing services, the effect of 7 directionality in demand is considered. A graph-based approach is applied to perform an efficient 8 assignment of vehicles to requests. We test the model on an experiment representing an urban 9 context. Our findings suggest that service performance is strongly dependent on users’ willingness 10 to share and somewhat less strongly on users’ tolerance to delays. Implementation of a ride-sharing 11 service is most successful when directionality in demand is low, while ride-specific discounts can 12 be effective in maximizing societal benefits. 13 14

[1]  Athina Markopoulou,et al.  Quantifying the potential of ride-sharing using call description records , 2013, HotMobile '13.

[2]  O. Cats,et al.  Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering , 2019, 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[3]  Javier Alonso-Mora,et al.  The Impact of Ridesharing in Mobility-on-Demand Systems: Simulation Case Study in Prague , 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[4]  Marco Laumanns,et al.  Simulation-based design and analysis of on-demand mobility services , 2021, Transportation Research Part A: Policy and Practice.

[5]  R. Teal Carpooling: Who, how and why☆ , 1987 .

[6]  Irwin P. Levin,et al.  Ride Sharing: Psychological Factors , 1977 .

[7]  Peter R. Stopher,et al.  Service quality––developing a service quality index in the provision of commercial bus contracts , 2003 .

[8]  B. Edvardsson Causes of customer dissatisfaction ‐ studies of public transport by the critical‐incident method , 1998 .

[9]  Yu Zheng,et al.  T-share: A large-scale dynamic taxi ridesharing service , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).

[10]  Bart van Arem,et al.  Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service , 2018, International Journal of Transportation Science and Technology.

[11]  Anna Matas,et al.  Commuters' valuation of travel time variability , 2008 .

[12]  T. Gärling,et al.  FREQUENCY OF NEGATIVE CRITICAL INCIDENTS AND SATISFACTION WITH PUBLIC TRANSPORT SERVICES , 2001 .