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Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control

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  • Bing Wu
  • Xinping Yan
  • Yang Wang
  • Di Zhang
  • C. Guedes Soares

Abstract

A ship that is not under control (NUC) is a typical incident that poses serious problems when in confined waters close to shore. The emergency response to NUC ships is to select the best risk control options, which is a challenge in restricted conditions (e.g., time limitation, resource constraint, and information asymmetry), particularly in inland waterway transportation. To enable a quick and effective response, this article develops a three‐stage decision‐making framework for NUC ship handling. The core of this method is (1) to propose feasible options for each involved entity (e.g., maritime safety administration, NUC ship, and ships passing by) under resource constraint in the first stage, (2) to select the most feasible options by comparing the similarity of the new case and existing cases in the second stage, and (3) to make decisions considering the cooperation between the involved organizations by using a developed Bayesian network in the third stage. Consequently, this work provides a useful tool to achieve well‐organized management of NUC ships.

Suggested Citation

  • Bing Wu & Xinping Yan & Yang Wang & Di Zhang & C. Guedes Soares, 2017. "Three‐Stage Decision‐Making Model under Restricted Conditions for Emergency Response to Ships Not under Control," Risk Analysis, John Wiley & Sons, vol. 37(12), pages 2455-2474, December.
    • Handle: RePEc:wly:riskan:v:37:y:2017:i:12:p:2455-2474
    DOI: 10.1111/risa.12815
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    References listed on IDEAS

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    Cited by:

    1. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
    3. Yanyan Wang & Baiqing Sun, 2022. "Multiperiod optimal emergency material allocation considering road network damage and risk under uncertain conditions," Operational Research, Springer, vol. 22(3), pages 2173-2208, July.
    4. Wang, Lei & Liu, Qing & Dong, Shiyu & Guedes Soares, C., 2022. "Selection of countermeasure portfolio for shipping safety with consideration of investment risk aversion," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    5. Xiaodong Li & Yang Xu & Kin Keung Lai & Hao Ji & Yaning Xu & Jia Li, 2022. "A Multi-Period Vehicle Routing Problem for Emergency Perishable Materials under Uncertain Demand Based on an Improved Whale Optimization Algorithm," Mathematics, MDPI, vol. 10(17), pages 1-17, August.
    6. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).

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