Journal of the Korean Society of Fisheries and Ocean Technology (수산해양기술연구)

The Korean Society of Fisheries and Ocean Technology (한국수산해양기술학회)
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Quantitative risk analysis of industial incidents occurring in trap boats

통발어선에서 발생하는 산업재해에 대한 정량적 위험성 분석

  • Seung-Hyun LEE (Department of Fisheries Physics, Pukyong National University) ;
  • Su-Hyung KIM (Training Ship, Pukyong National University) ;
  • Kyung-Jin RYU (Division of Marine Production System Management, Pukyong National University) ;
  • Yoo-Won LEE (Division of Marine Production System Management, Pukyong National University)
  • 이승현 (국립부경대학교 해양생산시스템관리학부) ;
  • 김수형 (국립부경대학교 실습선) ;
  • 류경진 (국립부경대학교 해양생산시스템관리학부) ;
  • 이유원 (국립부경대학교 해양생산시스템관리학부)
  • Received : 2024.04.12
  • Accepted : 2024.05.21
  • Published : 2024.05.31
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Abstract

This study employs Bayesian network analysis to quantitatively evaluate the risk of incidents in trap boats, utilizing accident compensation approval data spanning from 2018 to 2022. With a dataset comprising 1,635 incidents, the analysis reveals a mortality risk of approximately 0.011 across the entire trap boat. The study significantly identifies variations in incident risks contingent upon fishing area and fishing processes. Specifically, incidents are approximately 1.22 times more likely to occur in coastal compared to offshore, and the risk during fishing processes outweighs that during maintenance operations by a factor of approximately 23.20. Furthermore, a detailed examination of incident types reveals varying incidence rates. Trip/slip incidents, for instance, are approximately 1.36 times more prevalent than bump/hit incidents, 1.58 times more than stuck incidents, and a substantial 5.17 times more than fall incidents. The study concludes by providing inferred mortality risks for 16 distinct scenarios, incorporating fishing areas, processes, and incident types. This foundational data offers a tailored approach to risk mitigation, enabling proactive measures suited to specific circumstances and occurrence types in the trap boat industry.

Keywords

Acknowledgement

이 연구는 2022년도 해양수산부의 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구(20220210, AI기반 어선안전 설계 데이터플랫폼 개발 및 실증)의 일부입니다.

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