Yoo-Won LEE

Dr. Yoo-Won LEE

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 April 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
HKHyungju Kim
Hyungju Kim
KKKwi Yeon Koo
Kwi Yeon Koo
HLHyunjeong Lim
Hyunjeong Lim
SKSOOYEON KWON
SOOYEON KWON
YLYoo-Won LEE
Yoo-Won LEE
Commercial fishing, one of the most dangerous sectors globally and, particularly, in South Korea, faces fatal accident rates significantly exceeding other industries, and an urgent improvement in safety measures is necessary to reduce these numbers effectively. The main objective of this study is to analyse fishing vessel accidents in South Korea and present the direction of safety policy for fishing vessels based on the lessons learnt from previous accidents, and, ultimately, to contribute to reduce fishing vessel accidents. For this purpose, we have analysed the marine accident data from the last five years provided by the Korea Maritime Safety Tribunal (KMST), the statistical yearbook of oceans and fisheries provided by the Ministry of Oceans and Fisheries (MOF), and the statistical survey of marine fisheries provided by the Korean Statistical Information Service (KOSIS), using both quantitative and qualitative approaches. After thorough review and analysis of the accident data, we have proposed seven suggestions for the direction of future safety policy for fishing vessels in South Korea: adopt international safety benchmarks, focus on occupational and collision accidents, tailor safety measures to vessel size and age, enhance lookout practices to prevent collisions, implement comprehensive strategies to mitigate human errors, and address communication issues among Korean and international crews.

27 October 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
SKSu-Hyung Kim
Su-Hyung Kim
KRKyung-Jin Ryu
Kyung-Jin Ryu
SLSeung-Hyun Lee
Seung-Hyun Lee
KLKyounghoon LEE
Kyounghoon LEE
SKSeonghun Kim
Seonghun Kim
YLYoo-Won LEE
Yoo-Won LEE
The global commercial fishing industry, which employs approximately 159,800 seafarers worldwide (as reported by the Food and Agriculture Organization of the United Nations), faces a significant challenge in terms of safety. According to estimates by the International Labour Organization, approximately 24,000 seafarers lose their lives each year in fishing-related accidents. However, most existing guidelines for preventing maritime accidents primarily target vessels involved in international navigation, often inadequately addressing the unique risks faced by small-scale boats operating in coastal areas. This study focuses on trap fishery, a widely practiced fishing method globally, analyzing quantitative data from 1790 maritime accidents and conducting a survey involving 101 seafarers in South Korea. Utilizing Bayesian network analysis, aligned with Formal Safety Assessment protocols, the authors developed preventive guidelines aiming to reduce the rate of fatal accidents. The guidelines, derived from the data analysis, are anticipated to provide invaluable assistance to seafarers engaged in trap fishery not only in South Korea but also across various countries worldwide. By enhancing safety measures in this critical sector, this research will contribute to the overarching goal of sustainability within the global commercial fishing industry.

Verified
Journal Article
Open access
PDF file
SKSu-Hyung Kim
Su-Hyung Kim
SLSeung-Hyun Lee
Seung-Hyun Lee
KRKyung-Jin Ryu
Kyung-Jin Ryu
YLYoo-Won LEE
Yoo-Won LEE
With an estimated 32,000 annual fatalities, fishing vessel accidents are 100-fold deadlier than those involving merchant ships. Despite ongoing safety training, accident rates remain high. Since most fishing vessel accidents occur in small fishing vessels (<12 m) and are primarily attributable to human elements, this study focuses on small fishing vessel accidents where the human element is the primary cause, exploring preventive measures for major accident types and performing a type-specific risk assessment. First, we performed a quantitative analysis of frequently occurring accidents and the indirect factors influencing the human element using maritime accident statistics and surveys, respectively. Next, we employed the fault tree analysis technique proposed by the International Maritime Organization in its Formal Safety Assessment to quantitatively assess the rate of accidents caused by the human element attributable to various indirect factors. The primary indirect factors most significantly impacting the human element were ship factors (22.8%), people factors (18.9%), and organization on board (17.4%). Secondary factors included personal negligence (14.1%), aging equipment and poor maintenance (10.3%), and harsh natural conditions such as rough waves (9.6%). Eliminating the top three secondary indirect factors reduced accidents due to the human element by 15.4% (64.5−49.1%).

14 January 2025 in Fishes
Verified
Journal Article
Open access
PDF file
SKSu-Hyung Kim
Su-Hyung Kim
SLSeung-Hyun Lee
Seung-Hyun Lee
KRKyung-Jin Ryu
Kyung-Jin Ryu
YLYoo-Won LEE
Yoo-Won LEE
Fishing vessels are known to have a fatality rate from accidents nearly 100 times higher than that of merchant ships. However, since most cases are resolved internally without maritime tribunals, obtaining accurate statistics on accidents is challenging, making quantitative analysis and evaluation of accident risks difficult. Studies using inconsistent analytical methods often fail to converge on unified results or preventive measures, which contributes to the persistently high occurrence of fishing vessel accidents. Therefore, this study aimed to establish a standardized method for analyzing marine accidents on fishing vessels by applying the Formal Safety Assessment (FSA) technique, originally developed for merchant ships. The research focuses on the globally prevalent trap boat fishery, specifically examining common injuries occurring on fishing vessels. Quantitative data were collected from insurance approval records, while qualitative data were obtained through surveys. The research followed the five stages of the FSA framework: hazard identification, risk estimation, identification of risk control options, cost-benefit assessment, and recommendations for decision-making. The findings suggest that the FSA framework can be effectively applied to analyze fishing vessel accidents based on insurance data, leading to selective and effective preventive measures.

31 January 2024 in Fisheries and Aquatic Sciences
Verified
Journal Article
Open access
PDF file
YLYoo-Won LEE
Yoo-Won LEE
KRKyung-Jin Ryu
Kyung-Jin Ryu
SKSu-Hyung Kim
Su-Hyung Kim
HKHyungju Kim
Hyungju Kim
KKKwi Yeon Koo
Kwi Yeon Koo
SKSeonghun Kim
Seonghun Kim
Fisheries and Aquatic Sciences

30 May 2018 in Bulletin of the Korean society of Fisheries Technology
Verified
Journal Article
Closed access
TPTae-Geon Park
Tae-Geon Park
SKSeok-Jae Kim
Seok-Jae Kim
YCYeong-Su Chu
Yeong-Su Chu
TKTae-Sun Kim
Tae-Sun Kim
KRKyung-Jin Ryu
Kyung-Jin Ryu
YLYoo-Won LEE
Yoo-Won LEE