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Travel time variability: A review of theoretical and empirical issues

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  • Robert B. Noland
  • John W. Polak

Abstract

Over the past several years a number of research projects have attempted to empirically measure behavioural responses to changes in travel time variability. These have generally been built on theoretical models of scheduling choice that account for changes in departure time in response to the expected costs associated with variability. This paper reviews both the theory and empirical results of several projects that estimated coefficients on various measures of variability using stated preference techniques. Gaps in the understanding of these issues are identified and discussed.

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File URL: http://hdl.handle.net/10.1080/01441640010022456
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Transport Reviews.

Volume (Year): 22 (2002)
Issue (Month): 1 (January)
Pages: 39-54

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Handle: RePEc:taf:transr:v:22:y:2002:i:1:p:39-54

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Cited by:
  1. Kawasaki, Tomoya & Hanaoka, Shinya & Nguyen, Long Xuan, 2014. "The valuation of shipment time variability in Greater Mekong Subregion," Transport Policy, Elsevier, vol. 32(C), pages 25-33.
  2. Kanafani, Adib & Wang, Rui, 2010. "Measuring Multimodal Transport Level of Service," University of California Transportation Center, Working Papers qt9k74n1b5, University of California Transportation Center.
  3. Keumi, Chikako & Murakami, Hideki, 2012. "The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1023-1031.
  4. Shahabi, Mehrdad & Unnikrishnan, Avinash & Boyles, Stephen D., 2013. "An outer approximation algorithm for the robust shortest path problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 58(C), pages 52-66.
  5. Zheng Li & David Hensher, 2013. "Behavioural implications of preferences, risk attitudes and beliefs in modelling risky travel choice with travel time variability," Transportation, Springer, vol. 40(3), pages 505-523, May.
  6. Kemel, Emmanuel & Paraschiv, Corina, 2013. "Prospect Theory for joint time and money consequences in risk and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 81-95.
  7. Yin-Yen Tseng, 2004. "A meta-analysis of travel time reliability," ERSA conference papers ersa04p415, European Regional Science Association.
  8. Hongcheng Gan & Yang Bai, 2014. "The effect of travel time variability on route choice decision: a generalized linear mixed model based analysis," Transportation, Springer, vol. 41(2), pages 339-350, March.
  9. Shanjiang Zhu & David Levinson, 2011. "A Portfolio Theory of Route Choice," Working Papers 000096, University of Minnesota: Nexus Research Group.
  10. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
  11. Javier Asensio & Anna Matas, 2007. "Commuters’ valuation of travel time variability in Barcelona," Working Papers wpdea0701, Department of Applied Economics at Universitat Autonoma of Barcelona.
  12. He, Sylvia Y., 2013. "Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California," Transport Policy, Elsevier, vol. 25(C), pages 210-221.

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