title: A classification on human factor accident/incident of China civil aviation in recent twelve years.
abstract: OBJECTIVE
  To study human factor accident/incident occurred during 1990-2001 using new classification standard.
  
  
  METHODS
  The human factor accident/incident classification standard is developed on the basis of Reason's Model, combining with CAAC's traditional classifying method, and applied to the classified statistical analysis for 361 flying incidents and 35 flight accidents of China civil aviation, which is induced by human factors and occurred from 1990 to 2001.
  
  
  RESULTS
  1) the incident percentage of taxi and cruise is higher than that of takeoff, climb and descent. 2) The dominating type of flight incidents is diverging of runway, overrunning, near-miss, tail/wingtip/engine strike and ground obstacle impacting. 3) The top three accidents are out of control caused by crew, mountain collision and over runway. 4) Crew's basic operating skill is lower than what we imagined, the mostly representation is poor correcting ability when flight error happened. 5) Crew errors can be represented by incorrect control, regulation and procedure violation, disorientation and diverging percentage of correct flight level.
  
  
  CONCLUSIONS
  The poor CRM skill is the dominant factor impacting China civil aviation safety, this result has a coincidence with previous study, but there is much difference and distinct characteristic in top incident phase, the type of crew error and behavior performance compared with that of advanced countries. We should strengthen CRM training for all of pilots aiming at the Chinese pilot behavior characteristic in order to improve the safety level of China civil aviation.
authors.affiliation: Civil Aviation Flight University of China, Sichuan Guanghan. crmluo@yahoo.com.cn
authors.forename: Xiao-li
authors.initials: XL
authors.lastname: Luo
mesh_terms: D000060:Accidents, Aviation / Q000145:classification* / Q000517:prevention & control / Q000706:statistics & numerical data*; D000337:Aerospace Medicine; D001359:Aviation; D002681:China; D006804:Ergonomics; D006126:Group Processes; D006801:Humans; D007398:Interpersonal Relations