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Multicommodity network flow model for Asia's container ports

Author

Listed:
  • Loo Hay Lee
  • Ek Peng Chew
  • Leng Siang Lee

Abstract

This paper seeks to develop a multi-commodity network model to analyse the flow of containers within the Asia Pacific context. The model is used to evaluate the impact of container throughput in Asia's port by varying terminal handling charges and turnaround time. The three main regions analysed are north-east Asia, east Asia (Chinese port region) and south east Asia. Using the model, it could be shown that Busan port, which is an important transhipment hub in north-east Asia, could boost the container activities in the north-eastern part of China by improving its service quality. It is also found that the efficiency of the land link between Hong Kong and mainland China plays a crucial role for the future of Hong Kong port. While Singapore port maintains its position as a transhipment hub in south-east Asia, there would be expected competition from neighbouring low costs ports.

Suggested Citation

  • Loo Hay Lee & Ek Peng Chew & Leng Siang Lee, 2006. "Multicommodity network flow model for Asia's container ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 33(4), pages 387-402, September.
    • Handle: RePEc:taf:marpmg:v:33:y:2006:i:4:p:387-402
    DOI: 10.1080/03088830600895626
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    Citations

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    Cited by:

    1. Sang-Yoon Lee & Hyunwoo Lim & Hwa-Joong Kim, 2017. "Forecasting container port volume: implications for dredging," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 296-314, June.
    2. Lam, Jasmine Siu Lee & Yap, Wei Yim, 2011. "Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1272-1281.
    3. Ducruet, César, 2013. "Network diversity and maritime flows," Journal of Transport Geography, Elsevier, vol. 30(C), pages 77-88.
    4. Loon Tang & Joyce Low & Shao Lam, 2011. "Understanding Port Choice Behavior—A Network Perspective," Networks and Spatial Economics, Springer, vol. 11(1), pages 65-82, March.
    5. César Ducruet, 2013. "Network diversity and maritime flows," Post-Print halshs-00815731, HAL.
    6. Jiang, Jianlin & Lee, Loo Hay & Chew, Ek Peng & Gan, Chee Chun, 2015. "Port connectivity study: An analysis framework from a global container liner shipping network perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 47-64.
    7. Tran, Nguyen Khoi, 2011. "Studying port selection on liner routes: An approach from logistics perspective," Research in Transportation Economics, Elsevier, vol. 32(1), pages 39-53.
    8. 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.
    9. Low, Joyce M.W. & Lam, Shao Wei & Tang, Loon Ching, 2009. "Assessment of hub status among Asian ports from a network perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(6), pages 593-606, July.

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