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Risk analysis of marine cargoes and major port disruptions

Author

Listed:
  • Xueni Gou

    (Nanyang Technological University)

  • Jasmine Siu Lee Lam

    (Nanyang Technological University)

Abstract

As an interface between sea and land, ports are exposed to a wide range of natural hazards such as cyclones, floods and tsunami. At the same time, marine cargoes are growing both in terms of volume and value. Besides their exposure to various hazards during the sea trip, their concentration in ports increases the risk to the cargo itself as well as to the port. The objective of this paper is twofold. First, our study proposes a framework for catastrophe risk analysis of marine cargoes and ports by breaking-down the terminal operation process. This allows a more in-depth analysis by investigating the different parts of that process. Second, the study formulates a State Transition model for the simulation of scenarios. This is an integrated and robust risk model, to analyse exposure of marine cargoes and ports to natural hazards. The port of Laem Chabang is chosen as an example for demonstrating the risk simulation analysis. Findings show that losses can be in the form of both physical loss/damage and interruption loss with extensive cargo accumulation due to port disruptions.

Suggested Citation

  • Xueni Gou & Jasmine Siu Lee Lam, 2019. "Risk analysis of marine cargoes and major port disruptions," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(4), pages 497-523, December.
  • Handle: RePEc:pal:marecl:v:21:y:2019:i:4:d:10.1057_s41278-018-0110-3
    DOI: 10.1057/s41278-018-0110-3
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    References listed on IDEAS

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    2. Bi Wang & Kwai Sang Chin & Qin Su, 2022. "Risk management and market structures in seaport–dry port systems," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 114-137, March.
    3. Li, Junjun & Yu, Anqi & Xu, Bowei, 2022. "Risk propagation and evolution analysis of multi-level handlings at automated terminals based on double-layer dynamic network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    4. Egor PLOTNIKOV & Aleksandr RAKHMANGULOV, 2021. "Modeling China'S Dry Port Cooperation In Supply Chains," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(3), pages 89-103, September.

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