Document Type
Article
Publication Date
2007
City
Dayton
Abstract
Air-traffic control workload data was collected from 20 enroute radar sectors in northern Australia. Multi-level analyses were used to model the effects of traffic variables and airspace variables. The effect of aircraft count varied significantly between sectors. Aircraft count had a stronger effect on workload in sectors that typically have a larger proportion of aircraft on descent, and aircraft that are more closely spaced. Implications for the development of predictive workload metrics are discussed.
Repository Citation
Neal, A.,
Mooij, M.,
Bolland, S.,
Xiao, T.,
& Lindsay, P.
(2007). Using Multi-Level Analysis to Model the Sources of Variability in Workload Within and Between Sectors. 2007 International Symposium on Aviation Psychology, 463-468.
https://corescholar.libraries.wright.edu/isap_2007/56
