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Optimal design of container liner services: Interactions with the transport demand in ports

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  • Zhongzhen Yang

    () (Transportation Management College, Dalian Maritime University, 1, Linghai Road, Dalian, Liaoning, China.)

  • Kang Chen

    () (Transportation Management College, Dalian Maritime University, 1, Linghai Road, Dalian, Liaoning, China.)

  • Theo Notteboom

    () (ITMMA, University of Antwerp, Kipdorp 59, Antwerp 2000, Belgium.)

Abstract

This article introduces an optimization model for container liner services that simultaneously optimizes the shipping route and the container slot allocation on vessels by considering the interactions between the container shipping scheme and the transport demand in the ports. The model consists of two input factors and two processes. The input factors include the shipping scheme and the transport demand in the ports. The processes relate to the optimization of the shipping scheme for a fixed transport demand and the adjustment of the transport demand for a given shipping schedule. We demonstrate the model in an empirical case study on liner service optimization on the trade route between East Asia and West Europe.

Suggested Citation

  • Zhongzhen Yang & Kang Chen & Theo Notteboom, 2012. "Optimal design of container liner services: Interactions with the transport demand in ports," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 14(4), pages 409-434, December.
  • Handle: RePEc:pal:marecl:v:14:y:2012:i:4:p:409-434
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    Cited by:

    1. repec:pal:marecl:v:19:y:2017:i:4:d:10.1057_mel.2016.11 is not listed on IDEAS
    2. Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
    3. Chen, Kang & Chen, Dongxu & Sun, Xueshan & Yang, Zhongzhen, 2016. "Container Ocean-transportation System Design with the factors of demand fluctuation and choice inertia of shippers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 267-281.

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