Identifying substandard vessels through Port State Control inspections: A new methodology for Concentrated Inspection Campaigns |
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| Institution: | 1. KEDGE Business School, 680 cours de la Libération, 33405 Talence, France;2. LEMNA, University of Nantes, BP 52231, Chemin de la Censive du Tertre, 44322 Nantes Cedex 3, France;3. INED, Paris, France;1. Liverpool Logistics, Offshore and Marine Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK;2. Shipping Management Department, Shanghai Jiaotong University, Shanghai 200240, China;3. Liverpool Business School, Liverpool John Moores University, L3 5UG, UK;1. Ocean College, Zhejiang University, No. 1 Zheda Road, Zhoushan 316021, Zhejiang, China;2. Federal Maritime Commission, 800 North Capitol Street, N.W Washington, USA;3. College of Transportation Engineering, Chang''an University, Xi''an, Shaanxi, China;4. Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge, CB3 9EP, United Kingdom;1. Maritime Risk and System Safety (MaRiSa) Research Group, World Maritime University, Fiskehamnsgatan 1, 21118 Malmö, Sweden;2. Maritime Energy (MarEner) Research Group, World Maritime University, Malmö, Sweden;1. Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China;2. Marine Headquarters, Marine Department of Malaysia, Port Klang 42007, Malaysia;3. Department of Logistics Management, International Maritime College Oman, 322, Oman;1. School of Management, Shanghai University, Shanghai 200444, PR China;2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong;3. Department of International Shipping and Transport Management, Shanghai Jiaotong University, Shanghai 200240, PR China |
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| Abstract: | Substandard vessels that fail to comply with international maritime regulations are the target of Port State Control inspections. Despite their significant costs, many inspections do not lead to any detentions and, in a significant number of cases, no deficiencies are detected. In this paper, quantile regressions for count data are used to estimate the likelihood of having a high number of deficiencies of a specific type. The purpose is to complement existing practices focusing on detention with the objective to improve the selection process. Similar factors influence the likelihood of having a vessel detained and that of having a vessel recording a high number of deficiencies. However, quantile regressions applied to the number of deficiencies help improving the identification of factors influencing the likelihood of finding some specific types of deficiencies, which is the focus of Concentrated Inspection Campaigns. The paper concludes that the selection process for such campaigns should be improved using this new methodology. |
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| Keywords: | Maritime safety Port State Control Target factor analysis Quantiles for counts |
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