Analysis of Accidents of Fishing Vessels Caused by Human Elements in Korean Sea Area

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%).

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-09-05
DOI
https://doi.org/10.3390/jmse12091564
Citations
8
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
3.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Accidents of Fishing Vessels Caused by Human Elements in Korean Sea Area

Kyung-Jin RYU, Yoo-Won LEE, Su-Hyung Kim, Seung-Hyun Lee
8 citations
Journal of Marine Science and Engineering
Risk and Safety Analysis
3.69
article

Analysis of Accidents of Fishing Vessels Caused by Human Elements in Korean Sea Area

Kyung-Jin RYU, Yoo-Won LEE, Su-Hyung Kim, Seung-Hyun Lee
article en
8 citations

Abstract

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%).

Journal of Marine Science and EngineeringVol. 12(9)
Pukyong National University (KR)
Openalex Percentile: Top 7%
Risk and Safety Analysis
3.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.