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Fu, J., Chen, X., Wu, S., Shi, C., Wu, H., Zhao, J., & Xiong, P. (2020). Mining Ship Deficiency Correlations From Historical Port State Control (PSC) Inspection Data. PLoS ONE, 15, e0229211.
https://doi.org/10.1371/journal.pone.0229211

has been cited by the following article:

• TITLE: The Effectiveness of New Inspection Regime on Port State Control Inspection

  AUTHORS: Lan Zheng

  KEYWORDS: Port State Control, New Inspection Regime, Effectiveness, Maritime Safety

  JOURNAL NAME: Open Journal of Social Sciences, Vol.8 No.8, August 28, 2020

  ABSTRACT: Port state control (PSC) inspection is an important measure to improve ship safety and reduce ship accident rate. To improve the effectiveness of PSC inspections, some MoUs have begun to implement new inspection regime (NIR). However, the effectiveness of NIR remains to be studied. Then this study aims to verify the effectiveness of NIR and improve shipping safety. In this study, Bayesian Network model is used to establish the relationship between NIR, ship deficiencies, detention and ship accident to explore the impact of NIR on maritime safety. The data in this study are from PSC inspection data in the Tokyo Memorandum of Understanding (MoU) and accident data in the International Maritime Organization (IMO). By analyzing the changes of the number of ship deficiency, detention rate and accident rate before and after NIR implementation, the effectiveness of NIR can be verified. The results show that the implementation of NIR does not effectively reduce the number of substandard ships, but the number of ships with serious deficiencies is significantly reduced. However, ship accident rate has not declined. Therefore, it is believed that Tokyo MoU needs to further improve the effectiveness of NIR and strengthen supervision of defective ships.