Prieto, J.M.; Amor, V.; Turias, I.; Almorza, D.; Piniella, F. Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach. Mathematics2021, 9, 2092.
Prieto, J.M.; Amor, V.; Turias, I.; Almorza, D.; Piniella, F. Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach. Mathematics 2021, 9, 2092.
Prieto, J.M.; Amor, V.; Turias, I.; Almorza, D.; Piniella, F. Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach. Mathematics2021, 9, 2092.
Prieto, J.M.; Amor, V.; Turias, I.; Almorza, D.; Piniella, F. Evaluation of Paris MoU Maritime Inspections Using a STATIS Approach. Mathematics 2021, 9, 2092.
Abstract
Port state control inspections implemented under the Paris Memorandum of Understanding (MoU) have become known as one of the best instruments for maritime administrations in European Union (EU) Member States to ensure that the ships docked in their ports comply with all maritime safety requirements. This paper focuses on the analysis of all inspections made between 2013 and 2018 in the top ten EU ports incorporated in the Paris MoU (17,880 inspections). The methodology consists of a multivariate statistical information system (STATIS) analysis using the inspected ship’s characteristics as explanatory variables. The variables used describe both the inspected ships (classification society, flag, age and gross tonnage) and the inspection (type of inspection and number of deficiencies), yielding a dataset with more than 600,000 elements in the data matrix. The most important results are that the classifications obtained match the performance lists published annually by the Paris MoU and the classification societies. Therefore, the approach is a potentially valid classification method and would then be useful to maritime authorities as an additional indicator of a ship’s risk profile to decide inspection priorities and as a tool to measure the evolution in the risk profile of flag over time.
Keywords
maritime safety; port state control; Paris Memorandum of Understanding; STATIS
Subject
Computer Science and Mathematics, Algebra and Number Theory
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
