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Considering Risk-Taking Behavior in Travel Time Reliability

Author

Listed:
  • Recker, Will
  • Chung, Younshik
  • Park, Jiyoung
  • Wang, Lesley
  • Chen, Anthony
  • Ji, Zhaowang
  • Liu, Henry
  • Horrocks, Matthew
  • Oh, Jun-Seok

Abstract

Travel time variability is increasingly being recognized as a major factor influencing travel decisions and, consequently, as an important performance measure in transportation management. In this research project, we examine a number of questions related to travel time variability: How should travel time variability be quantified at both the section level as well as at the route level?; How do travelers value travel time and its reliability?; How much does the travel time reliability contribute to travelers' route choices?; How much variation is there in travelers' preferences regarding the potential tradeoff between reliability and travel time itself?; How can travel time variability be incorporated into the route choice models for transportation planning purposes?; and, How can the effects of travel time reliability be incorporated in considering risk-taking behavior in route choice models? Answering these questions can help in the design and evaluation of transportation planning and managing strategies.

Suggested Citation

  • Recker, Will & Chung, Younshik & Park, Jiyoung & Wang, Lesley & Chen, Anthony & Ji, Zhaowang & Liu, Henry & Horrocks, Matthew & Oh, Jun-Seok, 2005. "Considering Risk-Taking Behavior in Travel Time Reliability," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt59v844cr, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt59v844cr
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    Citations

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    Cited by:

    1. Srinivasan, Karthik K. & Prakash, A.A. & Seshadri, Ravi, 2014. "Finding most reliable paths on networks with correlated and shifted log–normal travel times," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 110-128.
    2. Chen, Anthony & Zhou, Zhong, 2010. "The [alpha]-reliable mean-excess traffic equilibrium model with stochastic travel times," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 493-513, May.
    3. A. Arun Prakash & Karthik K. Srinivasan, 2018. "Pruning Algorithms to Determine Reliable Paths on Networks with Random and Correlated Link Travel Times," Transportation Science, INFORMS, vol. 52(1), pages 80-101, January.
    4. Mahmood Mahmoodi Nesheli & Avishai (Avi) Ceder & Robin Brissaud, 2017. "Public transport service-quality elements based on real-time operational tactics," Transportation, Springer, vol. 44(5), pages 957-975, September.
    5. Shuang Wang & Jing Lu & Liping Jiang, 2019. "Time Reliability of the Maritime Transportation Network for China’s Crude Oil Imports," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    6. Xiangfeng Ji & Xuegang (Jeff) Ban & Mengtian Li & Jian Zhang & Bin Ran, 2017. "Non-expected Route Choice Model under Risk on Stochastic Traffic Networks," Networks and Spatial Economics, Springer, vol. 17(3), pages 777-807, September.

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