A model for forecasting future air travel demand on the North Atlantic

April 1970

Bibliographic Details
Main Author: Taneja, Nawal K.
Other Authors: Massachusetts Institute of Technology. Flight Transportation Laboratory
Format: Technical Report
Published: Cambridge, Mass. Massachusetts Institute of Technology, Flight Transportation Laboratory, [1971] 2012
Subjects:
Online Access:http://hdl.handle.net/1721.1/68034
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author Taneja, Nawal K.
author2 Massachusetts Institute of Technology. Flight Transportation Laboratory
author_facet Massachusetts Institute of Technology. Flight Transportation Laboratory
Taneja, Nawal K.
author_sort Taneja, Nawal K.
collection MIT
description April 1970
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institution Massachusetts Institute of Technology
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publisher Cambridge, Mass. Massachusetts Institute of Technology, Flight Transportation Laboratory, [1971]
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spelling mit-1721.1/680342019-04-10T10:00:26Z A model for forecasting future air travel demand on the North Atlantic Taneja, Nawal K. Massachusetts Institute of Technology. Flight Transportation Laboratory Aeronautics, Commercial Air travel Passenger traffic Mathematical models April 1970 Includes bibliographical references (p. 125-128) Introduction: One of the key problems in the analysis and planning of any transport properties and facilities is estimating the future volume of traffic that may be expected to use these properties and facilities. Estimates of this kind are now being made regularly as the transport system continues to expand. The future planning, implementation and operation of a successful transportation system requires accurate and realistic forecasts of traffic volumes. To achieve optimal policies, the planner needs to be able to predict the effect of alternate decisions. Although the planning process involves much more than a forecast of the future traffic statistics, these statistics provide the essential quantitative dimensions for the planning process. Forecasts of expected traffic are an essential prerequisite to long-range planning. The link between planning and forecasting lies in recognizing that in order to bring an expected situation under control, the planner must be provided with the entire spectrum of situations that could be anticipated and, hence, could be planned for. The reasonableness and reliability of these traffic statistics is, therefore, of vital importance to the planner. This study investigates the North Atlantic passenger travel demand. The final goal is to make a forecast of the passenger traffic on this route. It is believed that such a forecast would prove to be a critical tool for long-range planning of transport properties and facilities on both sides of the Atlantic. For this reason, it is important to be well informed about the technical and economic factors which will determine and limit the travel volume, especially for manufacturers of aircraft, domestic and international airlines, and the government. Governments, for example, must be provided with traffic forecasts if they are to provide adequate ground facilities and air traffic control systems. 2012-01-06T22:01:59Z 2012-01-06T22:01:59Z 1971 Technical Report 13452213 http://hdl.handle.net/1721.1/68034 FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R71-1 vii, 196 p application/pdf Cambridge, Mass. Massachusetts Institute of Technology, Flight Transportation Laboratory, [1971]
spellingShingle Aeronautics, Commercial
Air travel
Passenger traffic
Mathematical models
Taneja, Nawal K.
A model for forecasting future air travel demand on the North Atlantic
title A model for forecasting future air travel demand on the North Atlantic
title_full A model for forecasting future air travel demand on the North Atlantic
title_fullStr A model for forecasting future air travel demand on the North Atlantic
title_full_unstemmed A model for forecasting future air travel demand on the North Atlantic
title_short A model for forecasting future air travel demand on the North Atlantic
title_sort model for forecasting future air travel demand on the north atlantic
topic Aeronautics, Commercial
Air travel
Passenger traffic
Mathematical models
url http://hdl.handle.net/1721.1/68034
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