Ship selection in port state control: status and perspectives. Issue 4 (19th May 2022)

• Record Type: Journal Article
• Authors: Yan, Ran; Wang, Shuaian; Peng, Chuansheng
• Is Part Of: Maritime policy & management. Volume 49:Issue 4(2022)
• Page Start: 600
• Page End: 615
• Publication Date: 2022-05-19
• Subjects: Port state control -- machine learning in maritime transportation -- ship selection -- ship deficiency -- ship detention; Marine resources -- Periodicals; Shipping -- Management -- Periodicals; Policy sciences -- Periodicals; 333.9164
• DOI: 10.1080/03088839.2021.1889067
• Languages: English
• ISSNs: 0308-8839

Abstract

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.