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On the effectiveness of port state control inspections

Author

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  • Cariou, Pierre
  • Mejia Jr., Maximo Q.
  • Wolff, Francois-Charles

Abstract

This paper uses 4080 observations from the Swedish Maritime Administration (1996-2001) to test how vessel's characteristics influence the length of time between two port state control inspections (PSC) along with the number of deficiencies detected during PSC. It also investigates whether a ship that has undergone PSC inspection at a certain time exhibits a reduction in the total number of deficiencies detected during the next control. Estimates from Poisson models stress that the age of the vessel, ship type, and flag of registry appear to be significant predictors. Subsequently, the analysis on 874 repeated inspections shows that following a PSC inspection, the reported deficiencies during next inspection is reduced by 63%.

Suggested Citation

  • Cariou, Pierre & Mejia Jr., Maximo Q. & Wolff, Francois-Charles, 2008. "On the effectiveness of port state control inspections," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 491-503, May.
    • Handle: RePEc:eee:transe:v:44:y:2008:i:3:p:491-503
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    Citations

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    Cited by:

    1. Nwokedi Theophilus C. & Eko-Rapheals Melvin Urhoromu & Obasi Catherine & Okechkwu Anyanwu Julius, 2022. "Performance of Abuja MOU on Port State Control in Enforcement of IMO Regulations on Maritime Safety," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 13(1), pages 233-244, January.
    2. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.
    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. Xuecheng Tian & Yanxia Guan & Shuaian Wang, 2023. "A Decision-Focused Learning Framework for Vessel Selection Problem," Mathematics, MDPI, vol. 11(16), pages 1-13, August.
    5. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.
    6. Fan, Lixian & Luo, Meifeng & Yin, Jinbo, 2014. "Flag choice and Port State Control inspections—Empirical evidence using a simultaneous model," Transport Policy, Elsevier, vol. 35(C), pages 350-357.
    7. 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.
    8. Xiao, Yi & Wang, Grace & Ge, Ying-En & Xu, Qinyi & Li, Kevin X., 2021. "Game model for a new inspection regime of port state control under different reward and punishment conditions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    9. Heij, C. & Bijwaard, G.E. & Knapp, S., 2010. "Ship Inspection Strategies: Effects on Maritime Safety and Environmental Protection," Econometric Institute Research Papers EI 2010-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Yin, Jingbo & Fan, Lixian, 2018. "Survival analysis of the world ship demolition market," Transport Policy, Elsevier, vol. 63(C), pages 141-156.
    11. 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.
    12. François Fulconis & Raphael Lissillour, 2021. "Toward a behavioral approach of international shipping: a study of the inter-organisational dynamics of maritime safety," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-23, December.
    13. Junjie Fu & Xinqiang Chen & Shubo Wu & Chaojian Shi & Huafeng Wu & Jiansen Zhao & Pengwen Xiong, 2020. "Mining ship deficiency correlations from historical port state control (PSC) inspection data," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-19, February.
    14. Yang, Zaili & Ng, Adolf K.Y. & Wang, Jin, 2014. "A new risk quantification approach in port facility security assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 72-90.
    15. Xiao, Yi & Qi, Guanqiu & Jin, Mengjie & Yuen, Kum Fai & Chen, Zhuo & Li, Kevin X., 2021. "Efficiency of Port State Control inspection regimes: A comparative study," Transport Policy, Elsevier, vol. 106(C), pages 165-172.
    16. Yang, Zhisen & Yang, Zaili & Teixeira, Angelo Palos, 2020. "Comparative analysis of the impact of new inspection regime on port state control inspection," Transport Policy, Elsevier, vol. 92(C), pages 65-80.
    17. 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.
    18. Wang, Likun & Yang, Zaili, 2018. "Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 277-289.
    19. 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).
    20. Knapp, S. & Bijwaard, G.E. & Heij, C., 2010. "Estimated Incident Cost Savings in Shipping Due to Inspections," Econometric Institute Research Papers EI 2010-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Heij, C. & Knapp, S., 2011. "Risk evaluation methods at individual ship and company level," Econometric Institute Research Papers EI2011-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. 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).
    23. Esma Gül Emecen Kara, 2016. "Risk Assessment in the Istanbul Strait Using Black Sea MOU Port State Control Inspections," Sustainability, MDPI, vol. 8(4), pages 1-17, April.
    24. Liangxia Zhong & Jiaxin Wu & Yiqing Wen & Bingjie Yang & Manel Grifoll & Yunping Hu & Pengjun Zheng, 2023. "Analysis of Factors Affecting the Effectiveness of Oil Spill Clean-Up: A Bayesian Network Approach," Sustainability, MDPI, vol. 15(6), pages 1-19, March.

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