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A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021

Author

Listed:
  • Carine Dominguez-Péry

    (CERAG)

  • Rana Tassabehji

    (Bath University)

  • Franck Corset

    (University Grenoble Alpes, LJK)

  • Zainab Chreim

    (CERAG)

Abstract

This paper investigated the risk indicators in maritime accidents and how they are considered within the reporting of maritime accidents, drawing on ten years of International Maritime Organisation (IMO) (2011–2020) accident reports. It highlighted the lack of consistent findings in studies exploring the role of vessel characteristics in maritime accidents, which often result from different methods, databases, techniques and motivations used by each respective study for gathering and analysing data. Furthermore, as human error continues to be highlighted as the top-cited cause of accidents, this study examined the qualitative content of IMO accident reports in-depth to broaden our understanding of maritime accident risk factors. Using a data-driven approach, statistical (ANOVA) and advanced text-mining techniques (using IRAMUTEQ software) were applied to extract meaning from the semi-structured and unstructured narrative descriptions that constitute most of the national administrations’ investigation reports to the IMO. Building on the text analysis of the IMO accident data, we proposed the Accident Maritime Ecosystem framework, which incorporates individuals, the ship organisation (on board), the internal ship ecosystem (on board and onshore), the external ship ecosystem (external factors) and the global maritime ecosystem (policies and regulations); moreover, it identifies these entities as risk factors in maritime accidents. The findings illustrate how accident reporting is largely human-centric and that as maritime transportation is becoming increasingly complex, there is a need for policy and organisational decision-makers to incorporate a broader scope of actors when considering maritime risk factors, which can be achieved by using the AME framework as a guideline.

Suggested Citation

  • Carine Dominguez-Péry & Rana Tassabehji & Franck Corset & Zainab Chreim, 2023. "A holistic view of maritime navigation accidents and risk indicators: examining IMO reports from 2011 to 2021," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-28, December.
    • Handle: RePEc:spr:josatr:v:8:y:2023:i:1:d:10.1186_s41072-023-00135-y
    DOI: 10.1186/s41072-023-00135-y
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    References listed on IDEAS

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    1. Peter J. Stavroulakis & Stratos Papadimitriou, 2022. "Total cost of ownership in shipping: a framework for sustainability," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-14, December.
    2. Zhaochen Wang & Jingbo Yin, 2020. "Risk assessment of inland waterborne transportation using data mining," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(5), pages 633-648, July.
    3. K. X. Li & J. Wonham, 1999. "Who is safe and who is at risk: a study of 20-year-record on accident total loss in different flags," Maritime Policy & Management, Taylor & Francis Journals, vol. 26(2), pages 137-144, April.
    4. Wang, Yuhong & Zhang, Fan & Yang, Zhisen & Yang, Zaili, 2021. "Incorporation of deficiency data into the analysis of the dependency and interdependency among the risk factors influencing port state control inspection," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    5. Bye, Rolf J. & Aalberg, Asbjørn L., 2018. "Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 174-186.
    6. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Casualty analysis methodology and taxonomy for FPSO accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    7. Xin Shi & Dong Xu & Hui Zhuang & Chen Liu, 2022. "How unsafe acts occur: an automatic text mining study," Maritime Policy & Management, Taylor & Francis Journals, vol. 49(6), pages 820-830, August.
    8. Dimitris Gavalas & Theodoros Syriopoulos & Efthimios Roumpis, 2022. "Digital adoption and efficiency in the maritime industry," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-22, December.
    9. Fan, Shiqi & Blanco-Davis, Eduardo & Yang, Zaili & Zhang, Jinfen & Yan, Xinping, 2020. "Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. Theo E. Notteboom & Willy Winkelmans, 2001. "Structural changes in logistics: how will port authorities face the challenge?," Maritime Policy & Management, Taylor & Francis Journals, vol. 28(1), pages 71-89, January.
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