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A Study of Transportation Disruption Causes and Costs in Containerized Maritime Transportation

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  • Figliozzi, Miguel Andres
  • Zhang, Zeyan

Abstract

This research focuses on estimating and understanding the costs and causes of transportation related supply chain disruptions. In-depth interviews with logistics managers were undertaken to investigate how companies perceive transportation related supply chain disruptions and what they are doing to respond and address them. Stated choice experiments were designed to estimate the cost of disruptions for containers in international maritime trade. The results of the discrete choice models indicate that disruption costs are several times larger than traditional values of freight travel time and reliability.

Suggested Citation

  • Figliozzi, Miguel Andres & Zhang, Zeyan, 2009. "A Study of Transportation Disruption Causes and Costs in Containerized Maritime Transportation," 50th Annual Transportation Research Forum, Portland, Oregon, March 16-18, 2009 207815, Transportation Research Forum.
    • Handle: RePEc:ags:ndtr09:207815
    DOI: 10.22004/ag.econ.207815
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    References listed on IDEAS

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    4. Rose, John M. & Bliemer, Michiel C.J. & Hensher, David A. & Collins, Andrew T., 2008. "Designing efficient stated choice experiments in the presence of reference alternatives," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 395-406, May.
    5. Luca Zamparini & Aura Reggiani, 2007. "Freight Transport and the Value of Travel Time Savings: A Meta‐analysis of Empirical Studies," Transport Reviews, Taylor & Francis Journals, vol. 27(5), pages 621-636, March.
    6. Jérôme Massiani, 2008. "Can we use hedonic pricing to estimate freight value of time?," EERI Research Paper Series EERI_RP_2008_08, Economics and Econometrics Research Institute (EERI), Brussels.
    7. Yossi Sheffi, 2005. "The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262693496, December.
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    Cited by:

    1. Zhou, Yusheng & Li, Xue & Yuen, Kum Fai, 2022. "Holistic risk assessment of container shipping service based on Bayesian Network Modelling," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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