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Maritime safety analysis in retrospect

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  • Z. L. Yang
  • J. Wang
  • K. X. Li

Abstract

Maritime safety has undergone considerable change in the past decades, particularly inits improved approach to risk quantification analysis. This article reviews the challenges of maritime safety analysis and the different approaches used to quantify the risks in maritime transportation. Formal safety assessment (FSA) is examined with a focus on its deficiencies, and its recent developments are described at the International Maritime Organization (IMO) level. The possible applications of FSA in maritime security and piracy analysis are discussed given its growing impacts on safety at sea. Some new uncertainty and risk modelling techniques are also presented to demonstrate how risk quantification analysis facilitates the transformation of maritime safety culture from a reactive prescriptive scheme towards a proactive goal-setting regime.

Suggested Citation

  • Z. L. Yang & J. Wang & K. X. Li, 2013. "Maritime safety analysis in retrospect," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(3), pages 261-277, May.
    • Handle: RePEc:taf:marpmg:v:40:y:2013:i:3:p:261-277
    DOI: 10.1080/03088839.2013.782952
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    Cited by:

    1. Bing Wu & Xinping Yan & Yang Wang & C. Guedes Soares, 2017. "An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1936-1957, October.
    2. Liu, Honglu & Tian, Zhihong & Huang, Anqiang & Yang, Zaili, 2018. "Analysis of vulnerabilities in maritime supply chains," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 475-484.
    3. Rodrigo Mesa-Arango & Badri Narayanan & Satish V. Ukkusuri, 2019. "The Impact of International Crises on Maritime Transportation Based Global Value Chains," Networks and Spatial Economics, Springer, vol. 19(2), pages 381-408, June.
    4. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.
    5. Liang, Maohan & Li, Huanhuan & Liu, Ryan Wen & Lam, Jasmine Siu Lee & Yang, Zaili, 2024. "PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Jiang, Meizhi & Lu, Jing, 2020. "The analysis of maritime piracy occurred in Southeast Asia by using Bayesian network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).
    7. Guo, Yunlong & Jin, Yongxing & Hu, Shenping & Yang, Zaili & Xi, Yongtao & Han, Bing, 2023. "Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    8. Liye Zhang & Hua Wang & Qiang Meng & Hongbin Xie, 2019. "Ship accident consequences and contributing factors analyses using ship accident investigation reports," Journal of Risk and Reliability, , vol. 233(1), pages 35-47, February.
    9. Yue Jiao & Maxim A. Dulebenets & Yui-yip Lau, 2020. "Cruise Ship Safety Management in Asian Regions: Trends and Future Outlook," Sustainability, MDPI, vol. 12(14), pages 1-15, July.
    10. Yishu Zheng & Wayne K. Talley & Di Jin & ManWo Ng, 2016. "Crew injuries in container vessel accidents," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(5), pages 541-551, July.
    11. Molin Sun & Zhongyi Zheng & Longhui Gang, 2018. "Uncertainty Analysis of the Estimated Risk in Formal Safety Assessment," Sustainability, MDPI, vol. 10(2), pages 1-16, January.
    12. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    13. Ercan Akan & Tunahan Gültekin & Sibel Bayar, 2022. "Statistical analysis of maritime piracy cases in world territorial waters," Journal of Transportation Security, Springer, vol. 15(3), pages 263-280, December.
    14. Muhammad Ilyas & Zhihong Jin & Irfan Ullah & Abbas Agha Jafri, 2023. "Investigation of Risk Factors Influencing the Safety of Maritime Containers Supply Chain: In the Period of the Pandemic," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    15. Kong, Dewei & Lin, Zelong & Li, Wei & He, Wei, 2024. "Development of an improved Bayesian network method for maritime accident safety assessment based on multiscale scenario analysis theory," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
    16. Wang, Likun & Yang, Zaili, 2018. "Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 277-289.
    17. Heij, C. & Knapp, S., 2018. "Predictive power of inspection outcomes for future shipping accidents," Econometric Institute Research Papers EI2018-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Gino J. Lim & Jaeyoung Cho & Selim Bora & Taofeek Biobaku & Hamid Parsaei, 2018. "Models and computational algorithms for maritime risk analysis: a review," Annals of Operations Research, Springer, vol. 271(2), pages 765-786, December.
    19. Chang, Chia-Hsun & Kontovas, Christos & Yu, Qing & Yang, Zaili, 2021. "Risk assessment of the operations of maritime autonomous surface ships," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    20. Heij, C. & Knapp, S., 2018. "Shipping Inspections, Detentions, and Accidents: An Empirical Analysis of Risk Dimensions," Econometric Institute Research Papers 2018-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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