COST-ORIENTED METHODOLOGY FOR SHORT-RANGE TRANSPORTATION PLANNING
A transportation planning methodology is proposed that is more adaptable and responsive to short-range issues than is the existing transportation planning process, which was designed as a long-range methodology. The suggested planning process (a) approaches conclusions in an iterative manner, (b) has flexibility in the ordering of steps in the procedure, and (c) requires fewer data. Although demand analysis constitutes a key component in the methodology, emphasis is on a comparative cost impact evaluation framework, in contrast to a demand forecasting approach. The 1-66/Metro corridor near Washington, D.C., is used to illustrate one cycle of the analysis. /Author/
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Taxation, Finance, and Pricing. 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.
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Authors:
- Lee Jr, Douglass B
- Publication Date: 1976
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 8-13
- Monograph Title: Urban transportation finance
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Serial:
- Transportation Research Record
- Issue Number: 589
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Costs; Economics; Flexibility; Psychological adaptation; Time duration; Transportation; Transportation planning
- Uncontrolled Terms: Short term
- Old TRIS Terms: Response
- Subject Areas: Administration and Management; Economics; Society; Transportation (General);
Filing Info
- Accession Number: 00142350
- Record Type: Publication
- ISBN: 0309025559
- Files: TRIS, TRB
- Created Date: Mar 30 1977 12:00AM