The Identification of Factors Contributing to Self-Reported Anomalies in Civil Aviation

• Autorzy: Andrzejczak C. , Karwowski W. , Thompson W.
• Języki publikacji: EN

Abstrakty

EN

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 selfreported 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 selfreported civil aviation anomalies. New associations between identified factors and reported anomaly conditions were also reported.

Słowa kluczowe

EN

self-reported anomalies; civil aviation; human factors; pilot error; text mining; correspondence analysis

PL

czynnik ludzki; lotnictwo cywilne; błąd pilota; analiza tekstu

• Wydawca: Taylor & Francis
• Czasopismo: International Journal of Occupational Safety and Ergonomics
• Rocznik: 2014
• Tom: Vol. 20, No. 1
• Strony: 3--18
• Opis fizyczny: Bibliogr. 34 poz., rys., tab., wykr.

Twórcy

autor

Andrzejczak C.

• Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, USA

autor

Karwowski W.

• Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, USA

autor

Thompson W.

• Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, USA

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