This study aimed to quantitatively analyze the risk using data from 329 safety accidents that occurred in aquaculture fisheries management vessels over the recent five years (2018-2022). For quantitative risk analysis, the Bayesian network proposed by the International Maritime Organization (IMO) was used to analyze the risk level according to the fishing process and cause of safety accidents. Among the work processes, the fishing process was analyzed to have the highest risk, being 12.5 times that of the navigation, 2.7 times that of the maintenance, and 8.8 times that of the loading and unloading. Among the causes of accidents, the hull and working environment showed the highest risk, being 1.7 times that of fishing gear and equipment, 4.7 times that of machinery and equipment, and 9.4 times that of external environment. By quantitatively analyzing the safety accident risks for 64 combinations of these four work processes and four accident causes, this study provided fundamental data to reduce safety accidents occurring in aquaculture fisheries management vessels.

서 론
재료 및 방법
    분석 자료
    위험 매트릭스
    베이지안 네트워크
결과 및 고찰
    안전사고 발생현황
    위험 매트릭스를 이용한 발생형태별 위험도
    베이지안 네트워크를 이용한 안전사고 위험성 분석
결 론
사 사
References

• 이승현(국립부경대학교 해양생산시스템관리학부 대학원생) | Seung-Hyun LEE (Graduate student, Division of Marine Production System Management, Pukyong National University, Busan 48513, Korea)
• 김수형(국립부경대학교 실습선 교수) | Su-Hyung KIM (Professor, Training Ship, Pukyong National University, Busan 48513, Korea)
• 류경진(국립부경대학교 해양생산시스템관리학부 교수) | Kyung-Jin RYU (Professor, Division of Marine Production System Management, Pukyong National University, Busan 48513, Korea)
• 이유원(국립부경대학교 해양생산시스템관리학부 교수) | Yoo-Won LEE (Professor, Division of Marine Production System Management, Pukyong National University, Busan 48513, Korea) Corresponding author