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Throughput estimation based port development and management policies analysis

Author

Listed:
  • Yi Xiao
  • Shouyang Wang
  • John J. Liu
  • Jin Xiao
  • Yi Hu

Abstract

With the rapid growth of seaborne commodity trades, port development and management has become a challenging issue to the government, enterprise and academia. To alleviate pressures on spatial demand and the environment, sustainable development and scientific management of a port is of crucial importance for its investment, construction and operation. In this article, a research path based on throughput estimation is proposed. The container port of Tianjin could expect to face immense, increasing pressure in the future several years. To meet future increasing capacity requirement, constructing new waterway and berths in a bigger contiguous area or new locations becomes a crucial strategy. Moreover, the strategy of accommodating peak seasonal traffic means existing container terminals have to attain higher output by redesigning their high-precision schedule, reconfiguring terminal topology, improving worker efficiency and employing more modern container-handling facilities.

Suggested Citation

  • Yi Xiao & Shouyang Wang & John J. Liu & Jin Xiao & Yi Hu, 2016. "Throughput estimation based port development and management policies analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 84-97, January.
    • Handle: RePEc:taf:marpmg:v:43:y:2016:i:1:p:84-97
    DOI: 10.1080/03088839.2015.1047806
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    References listed on IDEAS

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    4. Mohamed M. Mostafa, 2004. "Forecasting the Suez Canal traffic: a neural network analysis," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(2), pages 139-156, April.
    5. Simme J Veldman & Ewout H Bückmann, 2003. "A Model on Container Port Competition: An Application for the West European Container Hub-Ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(1), pages 3-22, March.
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    Cited by:

    1. Anqiang Huang & Kin Keung Lai & Han Qiao & Shouyang Wang & Zhenji Zhang, 2018. "Does Interval Knowledge Sharpen Forecasting Models? Evidence from China’s Typical Ports," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 467-483, March.

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