Due to the weakening of the fare class booking restrictions, passenger buy-down behavior occurs frequently. As a result, traditional revenue management tools based on the assumption of independent demand cannot fit the new environment very well. Passenger demand was redivided into three components and demand forecast model was then proposed. Marginal revenue data transformation as well as expected marginal seat revenue method was used to calculate booking limits of fare classes. The forecasting and seat allocation methods were applied to branded fare families with multiple classes. The simulation results show that the new approaches increase expected revenues by 10 to 15 percent and maintain a relatively high load factor.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Airline Demand Forecast and Seat Inventory Control with Passenger Buy-Down Behavior


    Beteiligte:
    Lu, Meihua (Autor:in)


    Erscheinungsdatum :

    18.10.2024


    Format / Umfang :

    1410056 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Air travel demand and airline seat inventory management

    Belobaba, Peter | DSpace@MIT | 1987

    Freier Zugriff

    Air travel demand and airline seat inventory management

    Belobaba, Peter | DSpace@MIT | 1987

    Freier Zugriff

    Intelligent Airline Seat Inventory Control System

    Teodorovic, Dusan | Online Contents | 2002


    Intelligent Airline Seat Inventory Control System

    Teodorovic, Dusan / Popovic, Jovan / Pavkovic, Goran et al. | Taylor & Francis Verlag | 2002