BEHAVIORAL DEMAND MODELING AND VALUATION OF TRAVEL TIME. ATTITUDINAL DATA
The role of attitudinal data in urban transportation planning was reviewed in this workshop report. The goal of the workshop was to propose stages of research in the investigation and development of a forecasting methodology that associates observed travel behavior with the attitudes of the population toward system attributes and policy variables. The attitudinal models had to satisfactorily relate to the real world and provide a design-directing process in contrast to the present methodology that evolved as a resource-allocation process. It was considered that a valid model of the decision process must (a) include the variables on which people base their decisions, (b) possibly combine sets of these variables into more basic dimensions (multivariate techniques), and (c) describe how people actually use the dimensions or variables to make travel decisions. To implement research results, an evolutionary process of behavioral model development was recommended. This strategy would require improving the modal-choice methodology. This could be accomplished by a modal-choice model which derives choice patterns on the basis of behavioral measures rather than, or in addition to, physical dimensions. This model would provide a true abstract representation of travel modes to facilitate predictions of demand for new as well as existing modes. By directly or indirectly incorporating appropriate measures such as comfort, convenience, and reliability into the prediction algorithm, a significant increase in the explanation of variance over existing models would result.
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Availability:
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Supplemental Notes:
- 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. Presented at a conference in South Berwick, Maine, July 8-13, 1973, sponsored by TRB, DOT and the Engineering Foundation.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Demetsky, Michael J
- Publication Date: 1974
Media Info
- Media Type: Digital/other
- Pagination: pp 21-24
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Serial:
- Transportation Research Board Special Report
- Issue Number: 149
- Publisher: Transportation Research Board
- ISSN: 0360-859X
Subject/Index Terms
- TRT Terms: Attitudes; Behavior; Decision making; Forecasting; Mathematical models; Mode choice; Research; Transportation planning; Travel; Travel demand; Urban transportation
- Uncontrolled Terms: Models
- Old TRIS Terms: Modal selection
- Subject Areas: Highways; Planning and Forecasting; Public Transportation; Research; Society;
Filing Info
- Accession Number: 00081594
- Record Type: Publication
- Files: TRIS, TRB, ATRI
- Created Date: Apr 8 1981 12:00AM