THE IDENTIFICATION OF FACTORS CONTRIBUTING TO SELF-REPORTED ANOMALIES IN CIVIL AVIATION

    Authors

    C. Andrzejczak; W. Karwowski;W. Thompson

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Int. J. Occup. Saf. Ergon.

    Keywords

    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

    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.

    Journal Title

    International Journal of Occupational Safety and Ergonomics

    Volume

    20

    Issue/Number

    1

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    3

    Last Page

    18

    WOS Identifier

    WOS:000333479800001

    ISSN

    1080-3548

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