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

Author

Listed:
  • Diana, Tony

    (Manager of the Outreach Division at Federal Aviation Administration, NextGen Collaboration and Messaging Office, USA)

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.

Suggested Citation

  • Diana, Tony, 2014. "Measuring change in the levels of scheduled arrival reliability: An application of ordinal logistic regression," Journal of Airport Management, Henry Stewart Publications, vol. 8(3), pages 214-225, July.
    • Handle: RePEc:aza:jam000:y:2014:v:8:i:3:p:214-225
    as

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    More about this item

    Keywords

    ordered logit regression; airline and airport delays; schedule reliability; airline; airport performance;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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