A general equilibrium model for multi-passenger ridesharing systems with stable matching

This paper proposes a general equilibrium model for multi-passenger ridesharing systems, in which interactions between drivers, passengers, platforms, and transportation networks are endogenously captured. Stable matching is modeled as an problem no driver or passenger can reduce his/her disutility by unilaterally switching to another sequence. one of the first studies that explicitly integrates platform’s into model. By integrating sequence with hyper-network, ridesharing-passenger transfers avoided system. Moreover, stability drivers passengers extended address multi-OD case terms The provides proof existence proposed equilibrium. A sequence-bush algorithm developed solving problem. capable handle complex constraints implicitly. Results illustrate outperforms general-purpose solver, insights joint stable route choice Numerical experiments indicate trips typically longer than average trip lengths. Sensitivity analysis suggests properly designed unit price necessary achieve network benefits, travelers relatively lower values time more likely participate ridesharing.