Article ID: | iaor20113472 |
Volume: | 43 |
Issue: | 3 |
Start Page Number: | 962 |
End Page Number: | 970 |
Publication Date: | May 2011 |
Journal: | Accident Analysis and Prevention |
Authors: | Bazargan Massoud, Guzhva Vitaly S |
Keywords: | statistics: regression, accident |
General aviation (GA) accounts for more than 82% of all air transport‐related accidents and air transport‐related fatalities in the U.S. In this study, we conduct a series of statistical analyses to investigate the significance of a pilot's gender, age and experience in influencing the risk for pilot errors and fatalities in GA accidents. There is no evidence from the Chi‐square tests and logistic regression models that support the likelihood of an accident caused by pilot error to be related to pilot gender. However, evidence is found that male pilots, those older than 60 years of age, and with more experience, are more likely to be involved in a fatal accident.