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Evidence on target factors used for port state control inspections

Author

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

Abstract

Target factors aim at setting criteria to select foreign vessels that should be inspected by port state control authorities. Although a relative consensus exists on the main factors to consider in selecting vessels, the weight to be given to these factors is still unclear. Using data on 26Â 515 PSC inspections that took place within the Indian Ocean MoU region from 2002 to 2006, we investigate the determinants of the number of deficiencies and of the probability of detention. Our results show that the main contributors to detention are the age of the vessel at inspection (40%), the recognised organization (31%) and the place where the inspection occurs (17%). Also, differences in detention rates amongst various inspecting authorities are essentially explained by differences in the characteristics of vessels calling in a specific country rather than by differences in the way inspections are done.

Suggested Citation

  • Cariou, Pierre & Mejia, Maximo Q. & Wolff, Francois-Charles, 2009. "Evidence on target factors used for port state control inspections," Marine Policy, Elsevier, vol. 33(5), pages 847-859, September.
    • Handle: RePEc:eee:marpol:v:33:y:2009:i:5:p:847-859
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    Citations

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    Cited by:

    1. Yan, Ran & Wang, Shuaian & Zhen, Lu, 2023. "An extended smart “predict, and optimize” (SPO) framework based on similar sets for ship inspection planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    2. 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.
    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. 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.
    6. 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.
    7. Armando Graziano & Pierre Cariou & François-Charles Wolff & Maximo Mejia & Jens-Uwe Schröder-Hinrichs, 2017. "Port state control inspections in the European Union: Do inspector's number and background matter?," Working Papers halshs-01649418, HAL.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. Xuecheng Tian & Shuaian Wang, 2022. "Cost-Sensitive Laplacian Logistic Regression for Ship Detention Prediction," Mathematics, MDPI, vol. 11(1), pages 1-15, December.

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