title: Are pilots at risk of accidents due to fatigue?
abstract: OBJECTIVE
  There is concern in the aviation community that pilot schedules can lead to fatigue and increased chance of an aviation accident. Yet despite this concern, there is little empirical analysis showing the relationship between pilot schedules and commercial aviation accidents. This study attempts to demonstrate an empirical relationship between pilot schedules and aviation accidents.
  
  
  METHODS
  Data for human factors-related accidents and pilot work patterns were identified. The distribution of pilot work schedule parameters for the accidents was compared to that for all pilots using a chi-square test to determine if the proportions of accidents and length of duty exposure were the same. If the distributions are the same, then one could infer that pilot human factor accidents are not affected by work schedule parameters.
  
  
  RESULTS
  The proportion of accidents associated with pilots having longer duty periods is higher than the proportion of longer duty periods for all pilots.
  
  
  CONCLUSIONS
  There is a discernible pattern of increased probability of an accident as duty time increases for commercial aircraft pilots in the United States.
  
  
  CONCLUSIONS
  The analysis suggests that establishing limits on duty time for commercial pilots would reduce risk. Such a rule is likely to be expensive and could substantially impact the commercial airlines. In return, there is likely to be a reduction in the risk of commercial aviation accidents due to pilot fatigue.
authors.affiliation: Federal Aviation Administration, Office of Aviation Policy and Plans, Washington, DC 20591, USA. jeff.goode@faa.gov
authors.forename: Jeffrey H
authors.initials: JH
authors.lastname: Goode
mesh_terms: D000062:Accidents, Occupational / Q000523:psychology / Q000706:statistics & numerical data*; D001359:Aviation; D016009:Chi-Square Distribution; D005221:Fatigue / Q000150:complications*; D006801:Humans; D011336:Probability; D012106:Research; D012307:Risk Factors; D014481:United States / Q000453:epidemiology; D014940:Work Schedule Tolerance; D000078329:Workforce