Bus-based park-and-ride system: a stochastic model on multimodal network with congestion pricing schemes

Zhiyuan Liu and Qiang Meng

International Journal of Systems Science, 2014, vol. 45, issue 5, 994-1006

Abstract: This paper focuses on modelling the network flow equilibrium problem on a multimodal transport network with bus-based park-and-ride (P&R) system and congestion pricing charges. The multimodal network has three travel modes: auto mode, transit mode and P&R mode. A continuously distributed value-of-time is assumed to convert toll charges and transit fares to time unit, and the users’ route choice behaviour is assumed to follow the probit-based stochastic user equilibrium principle with elastic demand. These two assumptions have caused randomness to the users’ generalised travel times on the multimodal network. A comprehensive network framework is first defined for the flow equilibrium problem with consideration of interactions between auto flows and transit (bus) flows. Then, a fixed-point model with unique solution is proposed for the equilibrium flows, which can be solved by a convergent cost averaging method. Finally, the proposed methodology is tested by a network example.

Date: 2014
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Citations: View citations in EconPapers (12)

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DOI: 10.1080/00207721.2012.743617

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