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Assessing the benefits of integrated en-route transit information systems and time-varying transit pricing systems in a congested transit network

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Listed:
  • Hualing Ren
  • Ziyou Gao
  • William H.K. Lam
  • Jiancheng Long

Abstract

This paper proposes a model for assessing the effects of the integrated implementation of en-route transit information systems (ETIS) and time-varying transit pricing systems (TTPS). The proposed model reveals the interaction between ETIS and TTPS, and the potential benefit of the joint implementation. There are two classes of passengers: those equipped and those unequipped with ETIS. It is assumed that unequipped passengers make their travel choices according to stochastic dynamic user optimal principles, with equipped passengers having a lower perception variation of travel cost due to the availability of better information. A bi-level program is formulated to model the integrated effects on passengers’ departure time choice behavior, route choice behavior, transit network performance, and transit operators’ revenue. The lower level is a multi-class stochastic dynamic transit assignment model. The combined system total cost and operators’ benefits under varied transit conditions are investigated with a numerical example.

Suggested Citation

  • Hualing Ren & Ziyou Gao & William H.K. Lam & Jiancheng Long, 2009. "Assessing the benefits of integrated en-route transit information systems and time-varying transit pricing systems in a congested transit network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(3), pages 215-237, April.
  • Handle: RePEc:taf:transp:v:32:y:2009:i:3:p:215-237
    DOI: 10.1080/03081060903017077
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    Cited by:

    1. Ren, Hualing & Song, Yingjie & Long, Jiancheng & Si, Bingfeng, 2021. "A new transit assignment model based on line and node strategies," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 121-142.
    2. Jiang, Y. & Szeto, W.Y., 2016. "Reliability-based stochastic transit assignment: Formulations and capacity paradox," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 181-206.

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