Article ID: | iaor20033235 |
Country: | Netherlands |
Volume: | 44 |
Issue: | 4 |
Start Page Number: | 581 |
End Page Number: | 593 |
Publication Date: | Apr 2003 |
Journal: | Computers & Industrial Engineering |
Authors: | McFadden Kathleen L. |
Keywords: | accidents |
Pilot-error is the major cause of accidents in airline operations. This paper proposes two risk models for analysing pilot-error at US airlines. The focus is on whether airline-specific factors (the name of the airlines) are useful in predicting pilot-error. This is the first study that reliably models pilot-error accident and incident rates on an airline-by-airline basis. The results indicate that airline-specific factors generally were not useful predictors of pilot-erorr. Moreover, any predicted influence of an individual airline was substantially less than for the pilot-specific factors of age and experience. Thus, the paper illustrates the difficulty of trying to compare airlines on the basis of safety. By analysing factors associated with pilot-error, policy-makers can more effectively manage and reduce the risk of airline accidents and incidents.