Analysing human error contribution to ship collision risk in congested waters under the evidential reasoning SPAR-H extended fault tree analysis
OCEAN ENGINEERING, cilt.287, ss.1-11, 2023 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 287
- Basım Tarihi: 2023
- Doi Numarası: 10.1016/j.oceaneng.2023.115758
- Dergi Adı: OCEAN ENGINEERING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
- Sayfa Sayıları: ss.1-11
- Anahtar Kelimeler: Evidential reasoning, SPAR-H, Fault tree, Risk analysis, Human error, Ship collision
- Recep Tayyip Erdoğan Üniversitesi Adresli: Evet
Özet
Human error plays a crucial role in maritime transportation risk analysis, as a significant percentage of accidents,
including collisions, groundings, capsizing, fires, and explosions, can be attributed to human errors. However,
obtaining a dataset that quantifies human error probabilities for maritime risk analysis is challenging due to
commercial constraints. To address this issue, this paper proposes a conceptual framework that integrates
evidential reasoning (ER) and the standardized plant analysis risk-human reliability analysis (SPAR-H) method to
quantify human errors, while employing fault tree analysis (FTA) to predict risk. The specific focus of this study is
ship collision risk in congested waters, which serves as a demonstration case to showcase the proposed method
and illustrate a detailed analysis of collision risk. The findings reveal that “inadequate watchkeeping due to sole
lookout”, “improper RADAR monitoring”, and “ineffective execution of COLREG-related actions” are the most
significant human errors contributing to collision risk in congested waters. The outcomes of this research provide
valuable insights for ship owners, safety professionals, ship masters, inspectors, and researchers in the maritime
industry. The findings can assist in minimizing collision risk and improving navigational safety in congested
waters.