THE IDENTIFICATION OF FACTORS CONTRIBUTING TO SELF-REPORTED ANOMALIES IN CIVIL AVIATION
Abbreviated Journal Title
Int. J. Occup. Saf. Ergon.
self-reported anomalies; civil aviation; human factors; pilot error; text mining; correspondence analysis; PILOT ERROR; CLASSIFICATION-SYSTEM; AIRCRAFT MAINTENANCE; ACCIDENTS; INCIDENTS; KNOWLEDGE; TAXONOMY; SKILLS; RULES; Ergonomics; Public, Environmental & Occupational Health
The main objective of this study was to analyze anomalies voluntarily reported by pilots in civil aviation sector and identify factors leading to such anomalies. Experimental data were obtained from the NASA aviation safety reporting system (ASRS) database. These data contained a range of text records spanning 30 years of civilian aviation, both commercial (airline operations) and general aviation (private aircraft). Narrative data as well as categorical data were used. The associations between incident contributing factors and self-reported anomalies were investigated using data mining and correspondence analysis. The results revealed that a broadly defined human factors category and weather conditions were the main contributors to self-reported civil aviation anomalies. New associations between identified factors and reported anomaly conditions were also reported.
International Journal of Occupational Safety and Ergonomics
"THE IDENTIFICATION OF FACTORS CONTRIBUTING TO SELF-REPORTED ANOMALIES IN CIVIL AVIATION" (2014). Faculty Bibliography 2010s. 4991.