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Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait

Author

Listed:
  • Li Xiao

    (Tianjin University, Nankai District)

  • Shaoyang Chen

    (Tianjin University, Nankai District)

  • Shun Xiong

    (Xi’an Research Institute of Surveying and Mapping)

  • Peixin Qi

    (Xi’an Research Institute of Surveying and Mapping)

  • Tingting Wang

    (Tianjin University, Nankai District)

  • Yanwei Gong

    (Tianjin University, Nankai District)

  • Na Liu

    (Tianjin University, Nankai District)

Abstract

Key nodes of sea lanes are important hubs for global trade and cargo transportation and play important roles in ensuring the safety of maritime transportation and maintaining the stability of the global supply chain. The safety guarantee of key nodes of sea lanes is facing more risks and higher requirements currently because the global shipping industry is gradually recovering. This paper focuses on key nodes of sea lanes, conducting regional security risk assessment and risk spatial scale visualization. A set of security risk assessment and visualization study methods for key nodes of sea lanes is constructed, which includes constructing a security risk assessment index system of key nodes of sea lanes with 25 indicators selected from three risk categories (hazard, vulnerability and exposure, and mitigation capacity) and using geospatial analysis to form the multi-criteria spatial mapping layers and then creating comprehensive risk layers to realize the risk visualization in the strait area by weighted overlaying based on the combined weights calculated by Analytic Hierarchy Process and Grey Relational Analysis. After taking the Tsugaru Strait and Makassar Strait as case studies, the results show that the comprehensive risk layers can effectively present the spatial distribution of security risks of key nodes of sea lanes, reflecting the spatial changes of risk levels (i.e., very low, low, medium, high and very high) and the methods can precisely identify and analyze crucial factors affecting the security risk of key nodes. These findings may strengthen the risk prevention and improve the safety of the navigation environment in the strait to ensure the safety and stability of maritime trade.

Suggested Citation

  • Li Xiao & Shaoyang Chen & Shun Xiong & Peixin Qi & Tingting Wang & Yanwei Gong & Na Liu, 2022. "Security risk assessment and visualization study of key nodes of sea lanes: case studies on the Tsugaru Strait and the Makassar Strait," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2657-2681, December.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:3:d:10.1007_s11069-022-05484-8
    DOI: 10.1007/s11069-022-05484-8
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    References listed on IDEAS

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    1. Bolat, Pelin & Yongxing, Jin, 2013. "Risk assessment of potential catastrophic accidents for transportation of special nuclear materials through Turkish Straits," Energy Policy, Elsevier, vol. 56(C), pages 126-135.
    2. Huali Chen & Yuka Ito & Marie Sawamukai & Tomochika Tokunaga, 2015. "Flood hazard assessment in the Kujukuri Plain of Chiba Prefecture, Japan, based on GIS and multicriteria decision analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 105-120, August.
    3. Vander Hoorn, Stephen & Knapp, Sabine, 2015. "A multi-layered risk exposure assessment approach for the shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 21-33.
    4. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Maritime piracy in the Strait of Hormuz and implications of energy export security," Energy Policy, Elsevier, vol. 140(C).
    5. Özgecan S. Ulusçu & Birnur Özbaş & Tayfur Altıok & İlhan Or, 2009. "Risk Analysis of the Vessel Traffic in the Strait of Istanbul," Risk Analysis, John Wiley & Sons, vol. 29(10), pages 1454-1472, October.
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