The main goal of this study is the development of an aggregate air itinerary market share model. In order to achieve this, multinomial logit models are applied to distribute the city-pair passenger demand across the available itineraries. The models are developed at an aggregate level using open-source booking data for a large group of city-pairs within the US air transport system. Although there is a growing trend in the use of discrete choice models in the aviation industry, existing air itinerary share models are mostly focused on supporting carrier decision-making. Consequently, those studies define itineraries at a more disaggregate level using variables describing airlines and time preferences. In this study, we define itineraries at a more aggregate level, i.e. as a combination of flight segments between an origin and destination, without further insight into service preferences. Although results show some potential for this approach, there are challenges associated with prediction performance and computational intensity.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Air itinerary shares estimation using multinomial logit models


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    02.01.2018


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Bayesian Multinomial Logit

    Washington, Simon / Congdon, Peter / Karlaftis, Matthew G. et al. | Transportation Research Record | 2009


    Multinomial Logit Regression

    Retherford, Robert D. / Choe, Minja Kim | Wiley | 1993


    Estimation of a constrained multinomial logit model

    Castro, Marisol / Martínez, Francisco / Munizaga, Marcela A. | Online Contents | 2012


    Estimation of a constrained multinomial logit model

    Castro, Marisol / Martínez, Francisco / Munizaga, Marcela A. | Online Contents | 2012


    Appendix F: Multinomial Logit Model

    Kumar, V. / Petersen, J. Andrew | Wiley | 2012