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PiracyAnalyzer: Spatial temporal patterns analysis of global piracy incidents

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  • Liang, Maohan
  • Li, Huanhuan
  • Liu, Ryan Wen
  • Lam, Jasmine Siu Lee
  • Yang, Zaili

Abstract

Maritime piracy incidents present significant threats to maritime security, resulting in material damages and jeopardizing the safety of crews. Despite the scope of the issue, existing research has not adequately explored the diverse risks and theoretical implications involved. To fill that gap, this paper aims to develop a comprehensive framework for analyzing global piracy incidents. The framework assesses risk levels and identifies patterns from spatial, temporal, and spatio-temporal dimensions, which facilitates the development of informed anti-piracy policy decisions. Firstly, the paper introduces a novel risk assessment mechanism for piracy incidents and constructs a dataset encompassing 3,716 recorded incidents from 2010 to 2021. Secondly, this study has developed a visualization and analysis framework capable of examining piracy incidents through the identification of clusters, outliers, and hot spots. Thirdly, a number of experiments are conducted on the constructed dataset to scrutinize current spatial-temporal patterns of piracy accidents. In experiments, we analyze the current trends in piracy incidents on temporal, spatial, and spatio-temporal dimensions to provide a detailed examination of piracy incidents. The paper contributes new understandings of piracy distribution and patterns, thereby enhancing the effectiveness of anti-piracy measures.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:reensy:v:243:y:2024:i:c:s0951832023007913
    DOI: 10.1016/j.ress.2023.109877
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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. Maximo Mejia & Pierre Cariou & Francois-Charles Wolff, 2009. "Is maritime piracy random?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(9), pages 891-895.
    3. 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.
    4. Paul Hallwood & Thomas J. Miceli, 2013. "An Economic Analysis of Maritime Piracy and its Control," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(4), pages 343-359, September.
    5. Li, Huanhuan & Yang, Zaili, 2023. "Towards safe navigation environment: The imminent role of spatio-temporal pattern mining in maritime piracy incidents analysis," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    6. Vincent F. Valentine & Hassiba Benamara & Jan Hoffmann, 2013. "Maritime transport and international seaborne trade," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(3), pages 226-242, May.
    7. Nelius Boshoff & Mpho Sefatsa, 2019. "Creating research impact through the productive interactions of an individual: an example from South African research on maritime piracy," Research Evaluation, Oxford University Press, vol. 28(2), pages 145-157.
    8. Zhang, Mingyang & Kujala, Pentti & Hirdaris, Spyros, 2022. "A machine learning method for the evaluation of ship grounding risk in real operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    9. Xu, Sheng & Kim, Ekaterina & Haugen, Stein & Zhang, Mingyang, 2022. "A Bayesian network risk model for predicting ship besetting in ice during convoy operations along the Northern Sea Route," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    10. Dui, Hongyan & Zheng, Xiaoqian & Wu, Shaomin, 2021. "Resilience analysis of maritime transportation systems based on importance measures," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    11. Zhang, Yang & Sun, Xukai & Chen, Jihong & Cheng, Cheng, 2021. "Spatial patterns and characteristics of global maritime accidents," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    12. Fu, Shanshan & Yu, Yuerong & Chen, Jihong & Xi, Yongtao & Zhang, Mingyang, 2022. "A framework for quantitative analysis of the causation of grounding accidents in arctic shipping," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    13. Zhang, Mingyang & Montewka, Jakub & Manderbacka, Teemu & Kujala, Pentti & Hirdaris, Spyros, 2021. "A Big Data Analytics Method for the Evaluation of Ship - Ship Collision Risk reflecting Hydrometeorological Conditions," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    14. Elio Marchione & Shane D Johnson & Alan Wilson, 2014. "Modelling Maritime Piracy: A Spatial Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(2), pages 1-9.
    15. 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).
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    1. Zhou, Kaiwen & Xing, Wenbin & Wang, Jingbo & Li, Huanhuan & Yang, Zaili, 2024. "A data-driven risk model for maritime casualty analysis: A global perspective," Reliability Engineering and System Safety, Elsevier, vol. 244(C).

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