Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of Frequent Marine Accidents in Commercial Fishing Vessels: Focus on Fatal Accidents in Trap Boats and the Development of Preventive Guidelines

Version 1 : Received: 9 July 2023 / Approved: 10 July 2023 / Online: 11 July 2023 (04:06:22 CEST)

How to cite: Kim, S.; Ryu, K.; Lee, S.; Lee, K.; Kim, S.; Lee, Y. Analysis of Frequent Marine Accidents in Commercial Fishing Vessels: Focus on Fatal Accidents in Trap Boats and the Development of Preventive Guidelines. Preprints 2023, 2023070641. https://doi.org/10.20944/preprints202307.0641.v1 Kim, S.; Ryu, K.; Lee, S.; Lee, K.; Kim, S.; Lee, Y. Analysis of Frequent Marine Accidents in Commercial Fishing Vessels: Focus on Fatal Accidents in Trap Boats and the Development of Preventive Guidelines. Preprints 2023, 2023070641. https://doi.org/10.20944/preprints202307.0641.v1

Abstract

The number of fishers working on commercial fishing vessels worldwide is approximately 159,800 according to the Food and Agriculture Organization of the United Nations. The International Labour Organization estimates that the mean annual number of deaths during fishing is approximately 24,000. Most guidelines for the prevention of marine accidents have been developed with a focus on vessels involved in international navigation. As these guidelines may have parts that are unsuitable for application in small-scale boats operating in coastal areas, appropriate modifications are required. This study analyzed quantitative data on 1,790 marine accidents that occurred in trap fishery, a globally common type of fishery, and data obtained through a survey of 101 fishers in South Korea. A guideline to reduce the rate of fatal accidents was developed using the Bayesian network, a method used for the analysis of accidents, as suggested in the formal safety assessment protocol. The results of data analysis and the developed guidelines are expected to be beneficial to all fishers involved in trap fishery across many countries worldwide.

Keywords

commercial fishing vessel; trap fishing; Bayesian network; formal safety assessment; prevention manual

Subject

Engineering, Marine Engineering

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