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Congestion analysis of waterborne, containerized imports from Asia to the United States

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  • Leachman, Robert C.
  • Jula, Payman

Abstract

A queuing model is introduced for estimating container flow times through port terminals as a function of infrastructure, staffing, and import volume. The model is statistically calibrated on industry data. Flow-time estimates of the model are aggregated with estimates from models previously developed for rail networks to develop estimates of the total container flow times from West Coast ports to inland distribution centers. Integrated with a supply-chain optimization model, the queuing formulas are used to predict import flows by port and landside channel in scenarios of total import growth, varying all-water rates, and a higher import share for nation-wide importers.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transe:v:47:y:2011:i:6:p:992-1004
    DOI: 10.1016/j.tre.2011.05.010
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    References listed on IDEAS

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    1. van Hee, K. M. & Wijbrands, R. J., 1988. "Decision support system for container terminal planning," European Journal of Operational Research, Elsevier, vol. 34(3), pages 262-272, March.
    2. Jula, Payman & Leachman, Robert C., 2011. "Long- and Short-Run supply-chain optimization models for the allocation and congestion management of containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 593-608, September.
    3. Jula, Payman & Leachman, Robert C., 2011. "A supply-chain optimization model of the allocation of containerized imports from Asia to the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 609-622, September.
    4. Kang, Seungmo & Medina, Juan C. & Ouyang, Yanfeng, 2008. "Optimal operations of transportation fleet for unloading activities at container ports," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 970-984, December.
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    Cited by:

    1. Balliauw, Matteo, 2021. "From theoretical real options models to pragmatic decision making: Required steps, opportunities and threats," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Fan, Lei & Wilson, William W. & Dahl, Bruce, 2015. "Risk analysis in port competition for containerized imports," European Journal of Operational Research, Elsevier, vol. 245(3), pages 743-753.
    3. Martinez, Camil & Steven, Adams B. & Dresner, Martin, 2016. "East Coast vs. West Coast: The impact of the Panama Canal’s expansion on the routing of Asian imports into the United States," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 274-289.
    4. Feng, Xuehao & He, Yucheng & Kim, Kap-Hwan, 2022. "Space planning considering congestion in container terminal yards," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 52-77.
    5. Talley, Wayne K. & Ng, ManWo, 2016. "Port multi-service congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 66-70.
    6. Leachman, Robert C. & Jula, Payman, 2012. "Estimating flow times for containerized imports from Asia to the United States through the Western rail network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 296-309.
    7. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    8. 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.
    9. Li, Xinyan & Xie, Chi & Bao, Zhaoyao, 2022. "A multimodal multicommodity network equilibrium model with service capacity and bottleneck congestion for China-Europe containerized freight flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    10. 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.

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