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Measuring reliability of transportation networks using snapshots of movements in the network – An analytical and empirical study

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  • Gillen, David
  • Hasheminia, Hamed

Abstract

In this paper we introduce an analytical framework based on discrete Likelihood Maximization techniques that provides estimates of operational level data of Queuing models and Transportation networks based on snapshots of data on movements of commodities in a network. We apply our methodology to detailed data on movements of containers imported from S.E. Asian ports to marine ports on the west coast of Canada, unloaded at these ports, moved to rail cars, and transported by rail to destinations in U.S. and Canada. We show how one can estimate operational level parameters such as the number of servers at the ports, schedules of departure and capacity of trains, and even speed of trains based on only snapshots of container movements in the network. Subsequently, we were able to calibrate the entire inter-continental transportation network, were able to identify the sources of variability in the network and were able to measure the reliability of the network to shocks.

Suggested Citation

  • Gillen, David & Hasheminia, Hamed, 2016. "Measuring reliability of transportation networks using snapshots of movements in the network – An analytical and empirical study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 808-824.
    • Handle: RePEc:eee:transb:v:93:y:2016:i:pb:p:808-824
    DOI: 10.1016/j.trb.2016.02.001
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    References listed on IDEAS

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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Hau L. Lee, Seungjin Whang, 2000. "Information sharing in a supply chain," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 1(1), pages 79-93.
    3. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    4. Gillen, David & Hasheminia, Hamed, 2013. "Estimating the demand responses for different sizes of air passenger groups," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 24-38.
    5. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2012. "Congestion, port expansion and spatial competition for US container imports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1121-1136.
    6. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    7. Lei Fan & William W. Wilson, 2012. "Impacts of Congestion and Stochastic Variables on the Network for US Container Imports," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 381-398, September.
    8. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    9. Leachman, Robert C. & Jula, Payman, 2011. "Congestion analysis of waterborne, containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 992-1004.
    10. Fosgerau, Mogens & Karlström, Anders, 2010. "The value of reliability," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 38-49, January.
    11. Hao, Lu & Hansen, Mark, 2014. "Block time reliability and scheduled block time setting," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 98-111.
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    Cited by:

    1. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    2. Andrey BORODIN & Evgenia PROKOFIEVA, 2017. "Methods Of Substantiation Of Specialization Of Railway Lines," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 12(SE), pages 35-44, December.
    3. Park, Jaehun & Lee, Byung Kwon, 2020. "Liner-dedicated manageability estimation for port operational reliability," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    4. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington, 2020. "Optimal supply chain resilience with consideration of failure propagation and repair logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

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