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Measuring change in the levels of scheduled arrival reliability: An application of ordinal logistic regression
Journal of Airport Management,
8
(3),
214-225
(2014)
Abstract
Scheduled arrival reliability represents a key performance indicator for airlines. It also represents an important factor in traveller satisfaction. This paper utilises the cases of seven airports on the US West Coast to evaluate the impact of arrival cancellations, gate arrival and departure delays and block delays on the levels of scheduled arrival reliability measured on a scale from 1 to 5. Based on an ordered logit regression model, the study revealed that there was no significant difference among the sampled airports in the attainment of scheduled arrival reliability as explained by the model’s independent variables, whether an airport was part of the Federal Aviation Administration’s Core 30 airport group, it served as a hub for a major carrier or it was located at a specific Air Route Traffic Control Center.
Keywords: ordered logit regression; airline and airport delays; schedule reliability; airline; airport performance
The full article is available to subscribers to the journal.
Author's Biography
Tony Diana is the Acting Division Manager, Outreach at the US Federal Aviation Administration (FAA). He received his doctorate in policy analysis and quantitative management from the University of Maryland, Baltimore County. He is involved in the communication of progress in modernisation programmes at US airports, metroplexes and airspaces. Prior to that position, he was Division Manager, NextGen Performance in the Office of NextGen Performance and Outreach and Deputy Division Manager, Forecasting and Performance Analysis, in the Office of Aviation Policy and Plans of the FAA, where he managed the aviation system performance metrics data warehouse. At the Maryland Aviation Administration, he was involved in performance measurement and route development. Tony’s main interests are performance evaluation and benchmarking as well as the study of delay. He is a certified Lean Sigma Master Black Belt and a certified Project Management Professional.
