Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93939
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Title: Ship selection in port state control : status and perspectives
Authors: Yan, R 
Wang, S 
Peng, C
Issue Date: 2022
Source: Maritime policy and management, 2022, v. 49, no. 4, p. 600-615
Abstract: Port state control (PSC) inspection acts as a safeguard against maritime accidents and marine environment pollution. Due to limited inspection resources and high inspection costs, port states can only select substandard ships with high risk for inspection. Therefore, efficient and accurate identification of substandard ships is important. This study reviews the current ship selection methods used in different ports and proposed in the existing literature, then discusses their advantages and disadvantages. Based on this review, a combined model for ship risk prediction considering ship deficiencies and detention is developed and validated in this study. Reasonable and comprehensive comparisons of the proposed combined model and the current ship selection method at the Port of Hong Kong are conducted. The comparison results provide managerial insights and suggestions for Memorandum of Understandings (MoUs). This study is the first to review the ship selection methods implemented in port states and proposed in the PSC inspection literature. It is also the first study to combine the number of ship deficiencies and the probability of detention in a unified model to calculate ship risk. This study is valuable for improving the efficiency of ship selection in MoUs and thus protecting maritime transport.
Keywords: Machine learning in maritime transportation
Port state control
Ship deficiency
Ship detention
Ship selection
Publisher: Routledge, Taylor & Francis Group
Journal: Maritime policy and management 
ISSN: 0308-8839
EISSN: 1464-5254
DOI: 10.1080/03088839.2021.1889067
Rights: © 2021 Informa UK Limited, trading as Taylor & Francis Group
This is an Accepted Manuscript of an article published by Taylor & Francis in Maritime Policy and Management on 29 Mar 2021 (published online), available at: http://www.tandfonline.com/10.1080/03088839.2021.1889067
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