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Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks.

Uğurlu, Ö, Yıldız, S, Loughney, S, Wang, J, Kuntchulia, S and Sharabidze, I (2020) Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks. Risk Analysis. ISSN 0272-4332

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Abstract

This study examines and analyzes marine accidents that have occurred over the past 20 years in the Black Sea. Geographic information system, human factor analysis and classification system (HFACS), and Bayesian network models are used to analyze the marine accidents. The most important feature distinguishing this study from other studies is that this is the first study to analyze accidents that have occurred across the whole Black Sea. Another important feature is the application of a new HFACS structure to reveal accident formation patterns. The results of this study indicate that accidents occurred in high concentrations in coastal regions of the Black Sea, especially in the Kerch Strait, Novorossiysk, Kilyos, Constanta, Riva, and Batumi regions. The formation of grounding and sinking accidents has been found to be similar in nature; the use of inland and old vessels has been highlighted as important factors in sinking and grounding incidents. However, the sequence of events leading to collision-contact accidents differs from the sequence of events resulting in grounding and sinking accidents. This study aims to provide information to the maritime industry regarding the occurrence of maritime incidents in the Black Sea, in order to assist with reduction and prevention of the marine accidents.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Uğurlu, Ö., Yıldız, S., Loughney, S., Wang, J., Kuntchulia, S. and Sharabidze, I. (2020), Analyzing Collision, Grounding, and Sinking Accidents Occurring in the Black Sea Utilizing HFACS and Bayesian Networks. Risk Analysis. doi:10.1111/risa.13568, which has been published in final form at https://dx.doi.org/10.1111/risa.13568. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
Uncontrolled Keywords: Accident analysis; Bayesian network; Black Sea; GIS; HFACS; marine accident
Subjects: T Technology > T Technology (General)
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Maritime & Mechanical Engineering (merged with Engineering 10 Aug 20)
Publisher: Wiley
Related URLs:
Date Deposited: 07 Aug 2020 08:27
Last Modified: 07 Aug 2020 08:30
DOI or Identification number: 10.1111/risa.13568
URI: https://researchonline.ljmu.ac.uk/id/eprint/13461

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