This thesis investigates the seasonality of demand in air transportation. It presents three methods for computing seasonal indices. One of these methods, the Periodic Average Method, is selected as the most appropriate for the limited sample of data supplied by Delta Air Lines. These indices are used to determine the existence of significant differences between the seasonality of demand between directions of a markets as well as differences among markets. Finally, using the results from this assessment the markets are categorized into four categories: Vacation - Low Business, Low Vacation - Strong Business, Busines & Vacation, and Distict Markets. The markets in each category can be represented by a set of seasonal indices. The overall conclusion is that the seasonality does not differ by direction in a market but it differs by market category


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    Title :

    Seasonality in air transportation demand.
    Seasonality in air transportatio



    Publication date :

    1988


    Size :

    83 p


    Remarks:

    March 1988
    Also issued as an M.S. thesis, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1988
    Includes bibliographical references (p. 81)


    Type of media :

    Report


    Type of material :

    Electronic Resource


    Language :

    Unknown




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