Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure
policy - fares, operations - frequency, ridership - behaviour, ridership - demand
Transit fare structure, MPEC model, Principal–agent game, Nonlinear fare structure, Path-based stochastic transit assignment
This paper proposes a new nonlinear distance-based transit fare structure, which is measured by a function of the Euclidean distance between the origin and destination stations, termed as Origin-Destination (OD)-based fare. The novel fare structure encourages passengers to freely choose the most efficient trip plan. An optimization model is formulated based on a three-party game (involving the transport authority, transit company, and passenger) to determine the optimal fare function and frequency. An artificial bee colony algorithm is adopted to solve the model. Finally, a numerical example is provided to verify the proposed method.
Permission to publish the abstract has been given by Elsevier, copyright remains with them.
Huang, D., Liu, Z., Liu, P., & Chen, J. (2016). Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure. Transportation Research Part E: Logistics and Transportation Review, Vol. 96, pp. 1–19.