A conceptual models of the commercial air transportation industry is developed which can be used to predict trends in economics, demand, and consumption. The methodology is based on digraph theory, which considers the interaction of variables and propagation of changes. Air transportation economics are treated by examination of major variables, their relationships, historic trends, and calculation of regression coefficients. A description of the modeling technique and a compilation of historic airline industry statistics used to determine interaction coefficients are included. Results of model validations show negligible difference between actual and projected values over the twenty-eight year period of 1959 to 1976. A limited application of the method presents forecasts of air tranportation industry demand, growth, revenue, costs, and fuel consumption to 2020 for two scenarios of future economic growth and energy consumption.


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    Title :

    Forecast of future aviation fuels: The model


    Contributors:
    Ayati, M. B. (author) / Liu, C. Y. (author) / English, J. M. (author)

    Publication date :

    1981-09-01


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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