Human factors in yachting tourism accidents: an integrated human factors classification framework with statistical and network analysis.

ABSTRACT: Yachting tourism, as part of the global marine leisure industry, presents unique operational characteristics that increase vulnerability to safety incidents. While human factors are widely recognized as a dominant cause of maritime accidents, existing analytical frameworks offer limited explanatory power for the complexity of yachting contexts. This study develops an adapted Human Factors Analysis and Classification System for yachting (HFACS-YA) and applies it to a comprehensive dataset of yachting tourism accidents. A combination of chi-square tests was used to identify statistically significant human factor categories, and complex network modeling was employed to reveal structural relationships and critical causal pathways. Results show that "unsafe acts" are the most frequent immediate

SUBMITTER: Yao Y 

PROVIDER: S-EPMC12852763 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature