Abstract The civil aviation industry is critical to the economic development of any nation. Being a key infrastructure service, the performance of the civil aviation industry spills over to other segments of the economy. We investigate service failure among US airlines, using departure delay, and model its likelihood using mixed-logit regression. We characterize arrival performance for delayed departures using a service recovery/double deviation framework. We model the likelihood of different arrival possibilities using multinomial logistic regression. We use the chosen airline, temporality, and flight duration as predictors. Our key results include: (i) Afternoon/evening flights, and longer duration flights are more likely to depart late; (ii) Delta Airlines is most likely to depart on time; (iii) Southwest Airlines is best in recovering from delayed departures; (iv) United Airlines is most likely to aggravate delays.

    Highlights Service failures are rampant in the US civil aviation sector. We analyze delays using a novel service recovery/double deviation framework. We identify consumer-centric factors as predictors of departure and arrival delays. We predict delay likelihoods using mixed-logit and multinomial regression.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Effect of airline choice and temporality on flight delays


    Beteiligte:


    Erscheinungsdatum :

    2020-03-27




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







    Letters - Comments on Airline Delays

    Gold, Irving | Online Contents | 2001


    Econometric Analysis of U.S. Airline Flight Delays with Time-of-Day Effects

    Hsiao, C.-Y. / Hansen, M. / National Research Council (U.S.) | British Library Conference Proceedings | 2006