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dc.contributor.authorReichard Megwinoff, Hčtor Nicolasen_US
dc.contributor.otherMassachusetts Institute of Technology. Flight Transportation Laboratoryen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Civil Engineeringen_US
dc.date.accessioned2012-01-06T22:27:43Z
dc.date.available2012-01-06T22:27:43Z
dc.date.issued1988en_US
dc.identifier29197601en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68124
dc.descriptionMarch 1988en_US
dc.descriptionAlso issued as an M.S. thesis, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1988en_US
dc.descriptionIncludes bibliographical references (p. 81)en_US
dc.description.abstractThis 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 categoryen_US
dc.format.extent83 pen_US
dc.publisher[Cambridge, Mass. : Massachusetts Institute of Technology], Flight Transportation Laboratory, [1988en_US
dc.relation.ispartofseriesFTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R88-3en_US
dc.subjectAeronautics, Commercialen_US
dc.subjectEconomic forecastingen_US
dc.subjectPassenger trafficen_US
dc.subjectSeasonal variationsen_US
dc.subjectForecastingen_US
dc.titleSeasonality in air transportation demanden_US
dc.title.alternativeSeasonality in air transportatioen_US
dc.typeTechnical Reporten_US


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