Seasonality in air transportation demand
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Alternative title
Seasonality in air transportatio
Other Contributors
Massachusetts Institute of Technology. Flight Transportation Laboratory
Massachusetts Institute of Technology. Dept. of Civil Engineering
Metadata
Show full item recordAbstract
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
Description
March 1988 Also issued as an M.S. thesis, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1988 Includes bibliographical references (p. 81)
Date issued
1988Publisher
[Cambridge, Mass. : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1988
Other identifiers
29197601
Series/Report no.
FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R88-3
Keywords
Aeronautics, Commercial, Economic forecasting, Passenger traffic, Seasonal variations, Forecasting