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Journal Article

Citation

Liu D, Nickens T, Hardy L, Boquet AJ. Int. J. Aviat. Psychol. 2013; 23(2): 153-168.

Copyright

(Copyright © 2013, Informa - Taylor and Francis Group)

DOI

10.1080/10508414.2013.772831

PMID

unavailable

Abstract

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.

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