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Models and computational algorithms for maritime risk analysis: a review

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Abstract

Due to the undesirable implications of maritime mishaps such as ship collisions and the consequent damages to maritime property; the safety and security of waterways, ports and other maritime assets are of the utmost importance to authorities and researches. Terrorist attacks, piracy, accidents and environmental damages are some of the concerns. This paper provides a detailed literature review of over 180 papers about different threats, their consequences pertinent to the maritime industry, and a discussion on various risk assessment models and computational algorithms. The methods are then categorized into three main groups: statistical, simulation and optimization models. Corresponding statistics of papers based on year of publication, region of case studies and methodology are also presented.

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Acknowledgements

This publication was made possible by the NPRP award (NPRP 4-1249-2-492) from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Houston, 4800 Calhoun Road, Houston, TX, 77204, USA

    Gino J. Lim & Taofeek Biobaku

  2. Department of Industrial Engineering, Lamar University, 4400 S M L King Jr Pkwy, Beaumont, TX, 77705, USA

    Jaeyoung Cho

  3. Mechanical Engineering, Texas A&M University at Qatar, Al Rayyan, Qatar

    Selim Bora & Hamid Parsaei

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  1. Gino J. Lim
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Correspondence to Gino J. Lim.

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Lim, G.J., Cho, J., Bora, S. et al. Models and computational algorithms for maritime risk analysis: a review. Ann Oper Res 271, 765–786 (2018). https://doi.org/10.1007/s10479-018-2768-4

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