TY  - JOUR
PY  - 2013//
TI  - Effect of HFACS and non-HACFS-related factors on fatalities in general aviation accidents using neural networks
JO  - International journal of aviation psychology
A1  - Liu, Dahai
A1  - Nickens, Tiffany
A1  - Hardy, Leon
A1  - Boquet, Albert J.
SP  - 153
EP  - 168
VL  - 23
IS  - 2
N2  - This study applied a backpropagation artificial neural network approach to investigate both the Human Factors Analysis and Classification System (HFACS)-related unsafe act tiers of factors and other non-HFACS factors in an attempt to recognize patterns for general aviation accident fatalities. Data were obtained from the HFACS database and extracted from the National Transportation Safety Board database from 1990 to 2002. Multiple neural network models were created and the best fit model was selected based on a sequence of criteria. A sensitivity analysis was performed on the validated model to rank the factors that lead to general aviation fatalities. Results are discussed and practical implications are given.<p />
LA  - en
SN  - 1050-8414
UR  - http://dx.doi.org/10.1080/10508414.2013.772831
ID  - ref1
ER  -