The application of human factors analysis and classification system (HFACS) to investigate human errors in helicopter accidents

Abstract

current study investigates 83 civil aviation and military services helicopter accidents in Taiwan between 1970 and 2010. The probable and latent causes of those accidents are clearly defined, and statistically analyzed by error related paths and Human Factors Analysis and Classification System (HFACS). Results indicate that categories of the higher level have better predicted power (between 4.25% and 24.9%) than categories of the lower levels (with odd ratios between 0.19 and 8.67). Fallible decisions in upper command levels directly affect supervisory practices which create pre-conditions for unsafe acts, impair performance of pilots, and lead to unexpected accidents. By identifying the higher level human errors leading to low level helicopter mishaps, HFACS is useful a tool for accident investigations and accident prevention strategies. Current study provides a practical suggestion to top managers for a better helicopter operational safety environment. © 2013 Springer-Verlag Berlin Heidelberg.