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U.S. import/export container flow modeling and disruption analysis

Author

Listed:
  • Jones, Dean A.
  • Farkas, Julie L.
  • Bernstein, Orr
  • Davis, Chad E.
  • Turk, Adam
  • Turnquist, Mark A.
  • Nozick, Linda K.
  • Levine, Brian
  • Rawls, Carmen G.
  • Ostrowski, Scott D.
  • Sawaya, William

Abstract

International containerized freight movement is a vital part of the supply chain for many companies, and a critical element of moving consumer goods to points of retail sale within the U.S. Containerized imports also present a clear security concern (e.g., terrorists attempting to ship “dirty bombs,” chemical, biological or even nuclear weapons, into the U.S. in a shipping container). The goal of the research presented here is to create a modeling tool for analyzing flows of U.S. imports and exports of containerized freight, and the potential changes in those flows under a variety of conditions (e.g., port disruptions, extensive security-related delays, etc.). Our focus is on movements through maritime container ports, and not overland movements between the U.S. and Canada or Mexico.

Suggested Citation

  • Jones, Dean A. & Farkas, Julie L. & Bernstein, Orr & Davis, Chad E. & Turk, Adam & Turnquist, Mark A. & Nozick, Linda K. & Levine, Brian & Rawls, Carmen G. & Ostrowski, Scott D. & Sawaya, William, 2011. "U.S. import/export container flow modeling and disruption analysis," Research in Transportation Economics, Elsevier, vol. 32(1), pages 3-14.
  • Handle: RePEc:eee:retrec:v:32:y:2011:i:1:p:3-14
    DOI: 10.1016/j.retrec.2011.06.003
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    References listed on IDEAS

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    Cited by:

    1. Likun Wang & Anne Goodchild & Yong Wang, 2018. "The effect of distance on cargo flows: a case study of Chinese imports and their hinterland destinations," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 456-475, September.
    2. Jasper Verschuur & Raghav Pant & Elco Koks & Jim Hall, 2022. "A systemic risk framework to improve the resilience of port and supply-chain networks to natural hazards," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 489-506, September.
    3. César Ducruet & Hidekazu Itoh, 2022. "Spatial network analysis of container port operations: the case of ship turnaround times," EconomiX Working Papers 2022-15, University of Paris Nanterre, EconomiX.
    4. Feng-Ming Tsai & Linda J.W. Huang, 2017. "Using artificial neural networks to predict container flows between the major ports of Asia," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5001-5010, September.
    5. Hao Wang & Linda Nozick & Ningxiong Xu & Jared Gearhart, 2018. "Modeling ocean, rail, and truck transportation flows to support policy analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 327-357, September.
    6. Chen, Rui & Meng, Qiang & Jia, Peng, 2022. "Container port drayage operations and management: Past and future," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    7. César Ducruet & Hidekazu Itoh, 2022. "Spatial Network Analysis of Container Port Operations: The Case of Ship Turnaround Times," Networks and Spatial Economics, Springer, vol. 22(4), pages 883-902, December.
    8. 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).

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