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Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach

Author

Listed:
  • Jose Manuel Prieto

    (Department of Maritime Studies, University of Cádiz, 11003 Cádiz, Spain)

  • Victor Amor

    (Department of Statistics, University of Salamanca, 37008 Salamanca, Spain)

  • Ignacio Turias

    (Department of Computer Engineering, University of Cádiz, 11003 Cádiz, Spain)

  • David Almorza

    (Department of Statistics and Operational Research, University of Cádiz, 11003 Cádiz, Spain)

  • Francisco Piniella

    (Department of Maritime Studies, University of Cádiz, 11003 Cádiz, Spain)

Abstract

Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their ports comply with all maritime safety requirements. This paper focuses on the analysis of all inspections made between 2013 and 2018 in the top ten EU ports incorporated in the Paris MoU (17,880 inspections). The methodology consists of a multivariate statistical information system (STATIS) analysis using the inspected ship’s characteristics as explanatory variables. The variables used describe both the inspected ships (classification society, flag, age and gross tonnage) and the inspection (type of inspection and number of deficiencies), yielding a dataset with more than 600,000 elements in the data matrix. The most important results are that the classifications obtained match the performance lists published annually by the Paris MoU and the classification societies. Therefore, the approach is a potentially valid classification method and would then be useful to maritime authorities as an additional indicator of a ship’s risk profile to decide inspection priorities and as a tool to measure the evolution in the risk profile of the flag over time.

Suggested Citation

  • Jose Manuel Prieto & Victor Amor & Ignacio Turias & David Almorza & Francisco Piniella, 2021. "Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach," Mathematics, MDPI, vol. 9(17), pages 1-13, August.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2092-:d:624748
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    References listed on IDEAS

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    1. Bijwaard, Govert E. & Knapp, Sabine, 2009. "Analysis of ship life cycles--The impact of economic cycles and ship inspections," Marine Policy, Elsevier, vol. 33(2), pages 350-369, March.
    2. 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).
    3. 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.
    4. Knapp, Sabine & Franses, Philip Hans, 2007. "Econometric analysis on the effect of port state control inspections on the probability of casualty: Can targeting of substandard ships for inspections be improved?," Marine Policy, Elsevier, vol. 31(4), pages 550-563, July.
    5. Jon Ivar Havold, 2000. "Culture in maritime safety," Maritime Policy & Management, Taylor & Francis Journals, vol. 27(1), pages 79-88.
    6. Kevin X. Li & Haisha Zheng, 2008. "Enforcement of law by the Port State Control (PSC)," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(1), pages 61-71, February.
    7. Sabine Knapp & Philip Hans Franses, 2007. "A global view on port state control: econometric analysis of the differences across port state control regimes," Maritime Policy & Management, Taylor & Francis Journals, vol. 34(5), pages 453-482, October.
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    Cited by:

    1. Jose Manuel Prieto & Víctor Amor-Esteban & David Almorza-Gomar & Ignacio Turias & Francisco Piniella, 2023. "Application of Multivariate Statistical Techniques as an Indicator of Variability of the Effects of COVID-19 on the Paris Memorandum of Understanding on Port State Control," Mathematics, MDPI, vol. 11(14), pages 1-22, July.

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