통발어선에서 발생하는 산업재해에 대한 정량적 위험성 분석
Quantitative risk analysis of industial incidents occurring in trap boats
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초록
이 연구는 2018년부터 2022년까지의 사고 보상 승인 데이터를 활용하여 통발어선에서 사고 발생 위험을 정량적으로 평가하는 데에 베이지안 네트워크 분석을 활용하였습니다. 1,635건의 사건을 포함한 데이터를 통해 분석 결과, 전체 통발어선에서의 사망 위험은 대략 0.011임을 밝혀냈습니다. 특히, 연구는 조업 해역과 작업과정에 따른 사고 위험의 변화를 확인하였습니다. 구체적으로, 사고는 연안에서 근해에 비해 약 1.22배 더 자주 발생하며, 어업 과정 중 발생하는 위험이 정비 과정 중 발생하는 위험보다 약 23.20배 높다는 것을 밝혀내었습니다. 또한, 발생 형태의 세부적인 검토를 통해 다양한 발생률을 확인하였습니다. 예를 들어, 넘어짐/미끄러짐 형태는 부딪힘/맞음 형태보다 약 1.36배, 끼임 형태보다 약 1.58배, 떨어짐 형태보다는 약 5.17배 더 많이 발생하는 것으로 나타났습니다. 이 연구는 또한 조업 해역, 작업 과정 및 발생 형태을 고려한 16가지 다양한 시나리오에 대한 추정된 사망 위험을 제공하여, 통발어선 산업에서 특정 상황과 발생 유형에 맞는 조기 대응책을 제시하는 데에 기초적인 데이터를 제공하였습니다.
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.
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