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Title:

FORECASTING METHOD FOR GENERAL AVIATION AIRCRAFT AND THEIR ACTIVITY

Accession Number:

00331269

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309031125

Abstract:

This paper describes the formulation and application of a general aviation (GA) forecasting model within the context of the North Central Texas regional airport system planning process. The objective of the model was to provide a means of forecasting registered county-level GA aircraft ownership and the activity of those aircraft (hours flown) that allows public policymakers and planners to assess the impact of policy and economic growth alternatives on GA demand. The bottom-to-top econometric and time-series model developed through this effort achieved these objectives with statistical results that varied across the 19 counties and four aircraft types. Finally, a feature of this model uncommon to other GA forecasting models is that the demand for aircraft is specified to be (among other things) a function of the demand for air travel (hours flown). (Authors)

Supplemental Notes:

Publication of this paper sponsored by Committee on Aviation Demand Forecasting. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Accession #:

01411588

Authors:

Clark, Bruce C
Tankersley, James R

Pagination:

pp 50-58

Publication Date:

1980

Serial:

Transportation Research Record

Issue Number: 768
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309031125

Media Type:

Print

Features:

Figures (9) ; References (13) ; Tables (1)

Subject Areas:

Aviation; Economics; Highways; Planning and Forecasting; Policy; Vehicles and Equipment; I10: Economics and Administration

Files:

TRIS, TRB

Created Date:

Oct 28 1981 12:00AM

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