A data-driven Bayes approach for investigating International Safety Management Code-sourced detention of ships in Port State Controls

Kamal B., Altunışık A.

MARINE POLICY, cilt.169, sa.106346, ss.1-11, 2024 (SSCI)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 169 Sayı: 106346
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1016/j.marpol.2024.106346
  • Dergi Adı: MARINE POLICY
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, Periodicals Index Online, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), Artic & Antarctic Regions, Communication Abstracts, Environment Index, Geobase, Metadex, PAIS International, Pollution Abstracts, Public Affairs Index, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-11
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

For port authorities and shipping firms to enhance vessel quality and ensure safety of maritime, Port State

Control (PSC) inspections are crucial. Notwithstanding the tremendous efforts made in recent years to improve

PSC, one issue that persists in PSC inspection practices today is the absence of pertinent schemes or scholarly

studies that concentrate on the particular deficiency type-centric perspective of detention of vessel, which is

crucial to the inspection mechanism. Considering the International Safety Management (ISM) Code type-sourced

deficiencies, which is one of the most prevalent deficiency types, this paper reveals and evaluates the correlation

between various influencing factors and types of deficiencies, and their effect on detention caused by ISM Code

deficiency. In this regard, it is aimed to develop a data-driven machine learning-based model using the detention

records collected within the Tokyo MoU region from 2017 to 2023 in this paper. Tree Augmented Naive Bayes

(TAN), one of the most popular data-driven Bayesian Network techniques, is therefore exploited. Findings of this

study point out that detention period appears as the most important predictor to determine the occurrence of

detention caused by ISM Code deficiency followed by detention place and ship type, respectively. The findings of

this research may provide significant insights to port authorities and ship operating companies for developing

policy formulation and setting priorities to mitigate the detention risk.