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Estimating an Origin-Destination Table for US Exports of Waterborne Containerised Freight

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  • Brian Levine

    (School of Civil and Environmental Engineering, Cornell University, Hollister Hall, Ithaca, NY 14853, USA)

  • Linda Nozick

    (School of Civil and Environmental Engineering, Cornell University, Hollister Hall, Ithaca, NY 14853, USA)

  • Dean Jones

    (Sandia National Laboratories, P.O. Box 5800, MS 1138, Albuquerque, NM 87185–1138, USA.)

Abstract

US containerised freight traffic through US seaports is growing rapidly. Given this growth rate, it is important to have an accurate understanding of the flow of these goods both within the United States and to and from foreign countries, so that investments in infrastructure can be made consistent with the needs generated by this traffic. This paper develops an optimisation model to estimate an origin-destination table for the number of containers shipped from aggregations of Bureau of Economic Analysis economic areas in the United States to foreign countries. To do this, we synthesise data from various sources with a gravity model for the demand of container traffic. A sensitivity analysis on the estimated origin-destination table shows it is robust to changes in the gravity model parameter. The model also pays explicit attention to empty containers resulting from the significant US trade imbalance, and therefore estimates flows for both full and empty containers. Maritime Economics & Logistics (2009) 11, 137–155. doi:10.1057/mel.2009.1

Suggested Citation

  • Brian Levine & Linda Nozick & Dean Jones, 2009. "Estimating an Origin-Destination Table for US Exports of Waterborne Containerised Freight," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(2), pages 137-155, June.
    • Handle: RePEc:pal:marecl:v:11:y:2009:i:2:p:137-155
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    Citations

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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. Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    3. Guerrero, David, 2014. "Deep-sea hinterlands: Some empirical evidence of the spatial impact of containerization," Journal of Transport Geography, Elsevier, vol. 35(C), pages 84-94.
    4. Jin, Jiahuan & Ma, Mingyu & Jin, Huan & Cui, Tianxiang & Bai, Ruibin, 2023. "Container terminal daily gate in and gate out forecasting using machine learning methods," Transport Policy, Elsevier, vol. 132(C), pages 163-174.
    5. Kashiha, Mona & Thill, Jean-Claude & Depken, Craig A., 2016. "Shipping route choice across geographies: Coastal vs. landlocked countries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 1-14.
    6. Tiller, Kara Carroll & Thill, Jean-Claude, 2017. "Spatial patterns of landside trade impedance in containerized South American exports," Journal of Transport Geography, Elsevier, vol. 58(C), pages 272-285.
    7. 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.
    8. Huang, Dong & Grifoll, Manel & Sanchez-Espigares, Jose A. & Zheng, Pengjun & Feng, Hongxiang, 2022. "Hybrid approaches for container traffic forecasting in the context of anomalous events: The case of the Yangtze River Delta region in the COVID-19 pandemic," Transport Policy, Elsevier, vol. 128(C), pages 1-12.
    9. 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.
    10. Tu, Ningwen & Adiputranto, Dimas & Fu, Xiaowen & Li, Zhi-Chun, 2018. "Shipping network design in a growth market: The case of Indonesia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 108-125.
    11. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).

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