Abstract
This paper develops a combined mode choice and traffic assignment model that incorporates ridesharing as an option in a mode choice model, attempting to quantify the ridesharing market share in an equilibrium context. The mode choice model takes into account that the waiting time for a ride is dependent on the available drivers. The traffic assignment model is a static user equilibrium that interacts with the discrete choice model through level of service variables. An iterative algorithm was implemented and applied in a simple network and a more realistic network. The results indicate that the quantity of ride sharing drivers is a key parameter to the service success, and below a critical mass of drivers, it is unlikely that passengers will find the service valuable. It is also shown that ride sharing has the ability to reduce in-vehicle times for all the users, although passenger may suffer from longer door-to-door times, having to wait for their ride.
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Bahat, O., Bekhor, S. Incorporating Ridesharing in the Static Traffic Assignment Model. Netw Spat Econ 16, 1125–1149 (2016). https://doi.org/10.1007/s11067-015-9313-7
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DOI: https://doi.org/10.1007/s11067-015-9313-7