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Identifying substandard vessels through Port State Control inspections: A new methodology for Concentrated Inspection Campaigns

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  • Cariou, Pierre
  • Wolff, Francois-Charles

Abstract

Substandard vessels that fail to comply with international maritime regulations are the target of Port State Control inspections. Despite their significant costs, many inspections do not lead to any detentions and, in a significant number of cases, no deficiencies are detected. In this paper, quantile regressions for count data are used to estimate the likelihood of having a high number of deficiencies of a specific type. The purpose is to complement existing practices focusing on detention with the objective to improve the selection process. Similar factors influence the likelihood of having a vessel detained and that of having a vessel recording a high number of deficiencies. However, quantile regressions applied to the number of deficiencies help improving the identification of factors influencing the likelihood of finding some specific types of deficiencies, which is the focus of Concentrated Inspection Campaigns. The paper concludes that the selection process for such campaigns should be improved using this new methodology.

Suggested Citation

  • Cariou, Pierre & Wolff, Francois-Charles, 2015. "Identifying substandard vessels through Port State Control inspections: A new methodology for Concentrated Inspection Campaigns," Marine Policy, Elsevier, vol. 60(C), pages 27-39.
    • Handle: RePEc:eee:marpol:v:60:y:2015:i:c:p:27-39
    DOI: 10.1016/j.marpol.2015.05.013
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    References listed on IDEAS

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    1. Pierre Cariou & François-Charles Wolff, 2011. "Do Port State Control Inspections Influence Flag- and Class-hopping Phenomena in Shipping?," Journal of Transport Economics and Policy, University of Bath, vol. 45(2), pages 155-177, May.
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    Cited by:

    1. Liu, Kezhong & Yu, Qing & Yang, Zhisen & Wan, Chengpeng & Yang, Zaili, 2022. "BN-based port state control inspection for Paris MoU: New risk factors and probability training using big data," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    2. Yan, Ran & Wang, Shuaian & Fagerholt, Kjetil, 2020. "A semi-“smart predict then optimize” (semi-SPO) method for efficient ship inspection," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 100-125.
    3. 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).
    4. Jelena Nikcevic, 2018. "Montenegro on the Path to Paris MoU Accession: Towards Achieving a Sustainable Shipping Industry," Sustainability, MDPI, vol. 10(6), pages 1-14, June.
    5. Wang, Shuaian & Yan, Ran & Qu, Xiaobo, 2019. "Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 129-157.
    6. Graziano, Armando & Mejia, Maximo Q. & Schröder-Hinrichs, Jens-Uwe, 2018. "Achievements and challenges on the implementation of the European Directive on Port State Control," Transport Policy, Elsevier, vol. 72(C), pages 97-108.
    7. Dinis, D. & Teixeira, A.P. & Guedes Soares, C., 2020. "Probabilistic approach for characterising the static risk of ships using Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    8. Zhu, Jiang-Hong & Yang, Qiang & Jiang, Jun, 2023. "Identifying crucial deficiency categories influencing ship detention: A method of combining cloud model and prospect theory," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    9. Xuecheng Tian & Shuaian Wang, 2022. "Cost-Sensitive Laplacian Logistic Regression for Ship Detention Prediction," Mathematics, MDPI, vol. 11(1), pages 1-15, December.
    10. Fan, Lixian & Zhang, Meng & Yin, Jingbo & Zhang, Jinfen, 2022. "Impacts of dynamic inspection records on port state control efficiency using Bayesian network analysis," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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