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Congestion, port expansion and spatial competition for US container imports

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  • Fan, Lei
  • Wilson, William W.
  • Dahl, Bruce

Abstract

The purpose of this paper is to analyze spatial competition, congestion and flows of container imports into the United States. An intermodal network flow model is developed and used to analyze congestion in the logistics system for container imports. The results indicate that congestion exists at most ports and its consequences are to raise costs at these nodes, and in some cases to divert traffic to other routes. Finally, if each of the ports expanded, the value of marginal capacity would converge to nil, and expansion would reduce congestion costs and waiting times.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:6:p:1121-1136
    DOI: 10.1016/j.tre.2012.04.006
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    18. Shi, Jia & Jiao, Yuquan & Chen, Jihong & Ye, Jun & Gong, Jianwei, 2023. "A study on the evolution of competition pattern of inland container ports along the Yangtze River in China," Journal of Transport Geography, Elsevier, vol. 109(C).
    19. Karol Moszyk & Mariusz Deja & Michal Dobrzynski, 2021. "Automation of the Road Gate Operations Process at the Container Terminal—A Case Study of DCT Gdańsk SA," Sustainability, MDPI, vol. 13(11), pages 1-19, June.
    20. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
    21. Ruiz-Aguilar, J.J. & Turias, I.J. & Jiménez-Come, M.J., 2014. "Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 1-13.
    22. Manuel Herrera & Per J. Agrell & Casiano Manrique-de-Lara-Peñate & Lourdes Trujillo, 2017. "Vessel capacity restrictions in the fleet deployment problem: an application to the Panama Canal," Annals of Operations Research, Springer, vol. 253(2), pages 845-869, June.
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    24. 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.
    25. Talley, Wayne K., 2014. "Maritime transport chains: carrier, port and shipper choice effects," International Journal of Production Economics, Elsevier, vol. 151(C), pages 174-179.

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