Two separate logistic regression analyses were conducted for low- and high-altitude sectors to determine whether a set of dynamic sector characteristics variables could reliably discriminate between operational error (OE) and routine operation (RO) traffic samples. Dynamic sector characteristics submitted as predictors were: Average Control Duration, Number of Handoffs, Number of Heading Changes, Number of Intersecting Flight Paths, Number of Point Outs, and Number of Transitioning Aircraft. In the low-altitude sector model, the Number of Intersecting Flight Paths, the Number of Point Outs, and the Number of Handoffs produced a 75% overall classification accuracy. In the high-altitude sector model, the Number of Intersecting Flight Paths, the Number of Heading Changes, the Number of Transitioning Aircraft, and Average Control Duration produced a 79% overall classification accuracy. Classification rates achieved through the use of the selected sector characteristics support the assumption that elements of the sector environment contribute to the occurrence of OEs.
Pfleiderer, E. M.,
Scroggins, C. L.,
& Manning, C. A.
(2009). Logistic Regression Analysis of Operational Errors and Routine Operations. 2009 International Symposium on Aviation Psychology, 148-153.