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Measuring change in the levels of scheduled arrival reliability: An application of ordinal logistic regression

Tony Diana
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Tony Diana: Manager of the Outreach Division at Federal Aviation Administration, NextGen Collaboration and Messaging Office, USA

Journal of Airport Management, 2014, vol. 8, issue 3, 214-225

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 (search for similar items in EconPapers)
JEL-codes: M1 M10 R4 R40 (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:aza:jam000:y:2014:v:8:i:3:p:214-225

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