A mixed multinomial logit model for analyzing choice of departure airport in a multiple-airport system (MAS) is presented. The model aims to capture random taste variations across passengers in response to airport level of service through a set of random coefficients. A case study is carried out for the Baltimore, Maryland–Washington, D.C., MAS. The 1998 Air Passenger Survey database is used to estimate the model. The results indicate significant taste variations in response to flight frequency and airline fare even within smaller segments by both trip purpose and residency status. Analyses of the model provide several insightful results, such as distribution of perceived level of service and time value. In addition, the model is used to simulate the impact of interesting scenarios on market share. Substantial policy implications for airport management are also provided.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Taste Variations in Airport Choice Models


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2005-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Taste Variations in Airport Choice Models

    Pathomsiri, Somchai / Haghani, Ali | Transportation Research Record | 2005


    Taste Variations in Airport Choice Models

    Pathomsiri, S. / Haghani, A. / National Research Council (U.S.) | British Library Conference Proceedings | 2005


    Taste Variations in Airport Choice Models

    Pathomsiri, Somchai | Online Contents | 2005


    Taste Variation in Airport Choice Models

    National Research Council (U.S.) | British Library Conference Proceedings | 2005


    Accounting for Random Taste Heterogeneity in Airport Choice Modeling

    Hess, Stephane / Polak, John W. | Transportation Research Record | 2005