Quantitative risk assessment of industrial accidents for stow net fishermen
This study quantitatively assessed industrial accident risks among stow net fishmen using Bayesian network analysis. A total of 1,193 fishermen compensation insurance approval records for stow net fishery from 2018 to 2022 were analyzed. A chi-square test revealed different risk factors for coastal...
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| Format: | Article |
| Language: | English |
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The Korean Society of Fisheries and Aquatic Science
2025-03-01
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| Series: | Fisheries and Aquatic Sciences |
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| Online Access: | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2025.e16 |
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| author | Seung-Hyun Lee Su-Hyung Kim Kyung-Jin Ryu Yoo-Won Lee |
| author_facet | Seung-Hyun Lee Su-Hyung Kim Kyung-Jin Ryu Yoo-Won Lee |
| author_sort | Seung-Hyun Lee |
| collection | DOAJ |
| description | This study quantitatively assessed industrial accident risks among stow net fishmen using Bayesian network analysis. A total of 1,193 fishermen compensation insurance approval records for stow net fishery from 2018 to 2022 were analyzed. A chi-square test revealed different risk factors for coastal and offshore operations. In coastal fishing, rank, work process, and environmental causes were significant predictors of accidents, with fishermen facing four times the risk compared to captains. The risk during fishing was much higher than sailing, maintenance, and catch unloading. Fishing gear-related accidents were more likely than those caused by hull, machinery, and environmental causes. In offshore fishing, the highest risk was observed among fishermen aged 50–60, with South Korean fishermen being 15.26 times more at risk than foreign fishermen. Accidents during fishing were most common, with hull-related incidents far outnumbering those caused by fishing gear, machinery, and environmental causes. These findings provide a quantitative risk assessment of major hazards in stow net fishery, offering insights for targeted risk mitigation strategies. |
| format | Article |
| id | doaj-art-40cf4d730fa6451ea1bfbec2111e5a5d |
| institution | OA Journals |
| issn | 2234-1757 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | The Korean Society of Fisheries and Aquatic Science |
| record_format | Article |
| series | Fisheries and Aquatic Sciences |
| spelling | doaj-art-40cf4d730fa6451ea1bfbec2111e5a5d2025-08-20T02:16:55ZengThe Korean Society of Fisheries and Aquatic ScienceFisheries and Aquatic Sciences2234-17572025-03-0128318219010.47853/FAS.2025.e16Quantitative risk assessment of industrial accidents for stow net fishermenSeung-Hyun Lee0Su-Hyung Kim1Kyung-Jin Ryu2Yoo-Won Lee3Department of Fisheries Physics, Pukyong National University, Busan 48513 , KoreaTraining Ship, Pukyong National University, Busan 48513, KoreaDivision of Marine Production System Management, Pukyong National University, Busan 48513, KoreaDivision of Marine Production System Management, Pukyong National University, Busan 48513, KoreaThis study quantitatively assessed industrial accident risks among stow net fishmen using Bayesian network analysis. A total of 1,193 fishermen compensation insurance approval records for stow net fishery from 2018 to 2022 were analyzed. A chi-square test revealed different risk factors for coastal and offshore operations. In coastal fishing, rank, work process, and environmental causes were significant predictors of accidents, with fishermen facing four times the risk compared to captains. The risk during fishing was much higher than sailing, maintenance, and catch unloading. Fishing gear-related accidents were more likely than those caused by hull, machinery, and environmental causes. In offshore fishing, the highest risk was observed among fishermen aged 50–60, with South Korean fishermen being 15.26 times more at risk than foreign fishermen. Accidents during fishing were most common, with hull-related incidents far outnumbering those caused by fishing gear, machinery, and environmental causes. These findings provide a quantitative risk assessment of major hazards in stow net fishery, offering insights for targeted risk mitigation strategies. http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2025.e16Quantitative risk assessmentCoastal and offshore fisheryStow netBayesian networkChi-square test |
| spellingShingle | Seung-Hyun Lee Su-Hyung Kim Kyung-Jin Ryu Yoo-Won Lee Quantitative risk assessment of industrial accidents for stow net fishermen Fisheries and Aquatic Sciences Quantitative risk assessment Coastal and offshore fishery Stow net Bayesian network Chi-square test |
| title | Quantitative risk assessment of industrial accidents for stow net fishermen |
| title_full | Quantitative risk assessment of industrial accidents for stow net fishermen |
| title_fullStr | Quantitative risk assessment of industrial accidents for stow net fishermen |
| title_full_unstemmed | Quantitative risk assessment of industrial accidents for stow net fishermen |
| title_short | Quantitative risk assessment of industrial accidents for stow net fishermen |
| title_sort | quantitative risk assessment of industrial accidents for stow net fishermen |
| topic | Quantitative risk assessment Coastal and offshore fishery Stow net Bayesian network Chi-square test |
| url | http://www.e-fas.org/archive/view_article?doi=10.47853/FAS.2025.e16 |
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