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 focuses 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, calculate 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 affecting 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.