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The analysis of maritime piracy occurred in Southeast Asia by using Bayesian network

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  • Jiang, Meizhi
  • Lu, Jing

Abstract

Maritime piracy poses various risks that can cause disruptions, economic problems, injuries of crew members, and damages to ships. This paper proposes an analytical model based on Bayesian network to estimate the possibility of the ship being attacked or hijacked in Southeast Asia. The BN can capture the causal relationships between piracy and influencing factors, which facilitates the probability prediction process. The characteristic of ships, environment and anti-piracy measures are incorporated in the model. Available data from IMO together with expert knowledge is applied to validate the model. The results can provide stakeholders with insights to make decisions under uncertainties.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:transe:v:139:y:2020:i:c:s1366554520306165
    DOI: 10.1016/j.tre.2020.101965
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    References listed on IDEAS

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    1. 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.
    2. Sascha Pristrom & Kevin X. Li & Zaili Yang & Jin Wang, 2013. "A study of maritime security and piracy," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(7), pages 675-693, December.
    3. 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.
    4. Pristrom, Sascha & Yang, Zaili & Wang, Jin & Yan, Xinping, 2016. "A novel flexible model for piracy and robbery assessment of merchant ship operations," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 196-211.
    5. Hong, Nong & Ng, Adolf K.Y., 2010. "The international legal instruments in addressing piracy and maritime terrorism: A critical review," Research in Transportation Economics, Elsevier, vol. 27(1), pages 51-60.
    6. Zhang, Liye & Meng, Qiang & Fang Fwa, Tien, 2019. "Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 287-304.
    7. Wu, Cheng-Lung & Law, Kristie, 2019. "Modelling the delay propagation effects of multiple resource connections in an airline network using a Bayesian network model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 62-77.
    8. Timothy Besley & Thiemo Fetzer & Hannes Mueller, 2015. "The Welfare Cost Of Lawlessness: Evidence From Somali Piracy," Journal of the European Economic Association, European Economic Association, vol. 13(2), pages 203-239, April.
    9. Meizhi Jiang & Jing Lu & Zaili Yang & Jing Li, 2020. "Risk analysis of maritime accidents along the main route of the Maritime Silk Road: a Bayesian network approach," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(6), pages 815-832, August.
    10. Haapasaari, Päivi & Helle, Inari & Lehikoinen, Annukka & Lappalainen, Jouni & Kuikka, Sakari, 2015. "A proactive approach for maritime safety policy making for the Gulf of Finland: Seeking best practices," Marine Policy, Elsevier, vol. 60(C), pages 107-118.
    11. Meizhi Jiang & Jing Lu, 2020. "Maritime accident risk estimation for sea lanes based on a dynamic Bayesian network," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(5), pages 649-664, July.
    12. Z. L. Yang & J. Wang & S. Bonsall & Q. G. Fang, 2009. "Use of Fuzzy Evidential Reasoning in Maritime Security Assessment," Risk Analysis, John Wiley & Sons, vol. 29(1), pages 95-120, January.
    13. Yang, Zaili & Ng, Adolf K.Y. & Wang, Jin, 2014. "A new risk quantification approach in port facility security assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 72-90.
    14. Wan, Chengpeng & Yan, Xinping & Zhang, Di & Qu, Zhuohua & Yang, Zaili, 2019. "An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 222-240.
    15. PrasannaVenkatesan, S. & Goh, M., 2016. "Multi-objective supplier selection and order allocation under disruption risk," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 124-142.
    16. Nguyen, Son & Chen, Peggy Shu-Ling & Du, Yuquan & Shi, Wenming, 2019. "A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 203-227.
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