title: The identification of factors contributing to self-reported anomalies in civil aviation.
abstract: 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.
authors.affiliation: Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, USA.
authors.forename: Chris
authors.initials: C
authors.lastname: Andrzejczak
authors.forename: Waldemar
authors.initials: W
authors.lastname: Karwowski
authors.forename: William
authors.initials: W
authors.lastname: Thompson
mesh_terms: D000060:Accidents, Aviation / Q000706:statistics & numerical data*; D001359:Aviation / Q000706:statistics & numerical data*; D006801:Humans; D019359:Knowledge; D010465:Perception; D012449:Safety; D057566:Self Report; D013997:Time Factors; D014481:United States; D014887:Weather