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Title: LAND USE TRANSPORTATION MODELS FOR POLICY ANALYSIS
Accession Number: 00677628
Record Type: Component
Availability: Find a library where document is available Abstract: The objective is to assess the ability of land use transportation models to address some current policy issues. The nature of the relationship between land use and transportation is examined briefly in terms of empirical evidence and the results from modeling exercises. Two studies that use such models and that are being carried out in Britain are examined. Despite these and some convincing arguments by experts, there is little evidence of widespread use of such models. A number of current policy issues are discussed, and then a set of policy instruments that can be used to meet the policy objectives are identified. Evidence on the ability of land use transportation models to represent the impacts of the policy instruments is presented. It is shown how such models can contribute significantly in some areas of policy analysis, for example, reducing congestion and energy use, but can contribute very little to the objective of moving toward a market economy.
Supplemental Notes: This paper appears in Transportation Research Record No. 1466, Issues in Land Use and Transportation Planning, Models, and Applications. 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 #: 01401286
Language: English
Authors: Mackett, RogerPagination: p. 71-78
Publication Date: 1994
Serial: ISBN: 0309060729
Features: Figures
(1)
; References
(22)
; Tables
(3)
TRT Terms: Geographic Terms: Old TRIS Terms: Subject Areas: Highways; Planning and Forecasting; Policy; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: May 9 1995 12:00AM
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