中国渔业质量与标准2024，Vol.14Issue(5)：26-33,8.DOI:10.3969/j.issn.2095-1833.2024.05.004
基于GRA-PCA的英国渔船安全事故致因分析
Cause analysis of UK fishing vessel safety accidents based on grey relational analysis and principal component analysis
摘要
Abstract
Marine fishing is one of the most hazardous profession in the world.The overall risk in the industry remains high,and the accident rate of fishing vessel and crew mortality rate far exceeds those in other sectors.This study focu-ses on fishing vessel safety accidents in the UK,analyzing human factors such as observation fault,manipulation fault,driving fault,ship fault,fatigue fault and detection fault.We use the combination of Grey Relational Analysis(GRA)and Principal Component Analysis(PCA)to assess the human factors causing fishing vessel accidents,cal-culate the correlation of various human factors,and explore the importance and correlation of human factors in fishing vessel accidents.The results can effectively calculate all kinds of human factors that cause the occurrence of British fishing vessel accidents.Meanwhile,it clearly presents the proportion of all kinds of human factors and obtainsthe main human causes affecting the occurrence of British fishing vessel accidents.Finally,the primary human factor af-fecting the occurrence of fishing vessel accident is lookout failure,which clarifies the importance of safety lookout in crew operations.This finding provides a reference for improving the safety of fishing vessel in China.[Chinese Fish-ery Quality and Standards,2024,14(5):26-33]关键词
渔船安全/人为因素/关联度/灰色关联度分析(GRA)/主成分分析(PCA)/英国Key words
Fishing vessel safety/Grey Relational Analysis/Principal Component Analysis/Human factors/Correla-tion degree/UK分类
交通工程引用本文复制引用
李潇阳,任玉清,黄应邦..基于GRA-PCA的英国渔船安全事故致因分析[J].中国渔业质量与标准,2024,14(5):26-33,8.基金项目
农业农村部财政专项(17230144 （）
2024-B050101 （）
2024-B050102) （）
