COMPREHENSIVE ECONOMETRIC MICROSIMULATOR FOR DAILY ACTIVITY-TRAVEL PATTERNS
The Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (CEMDAP) is a microsimulation implementation of an activity-travel modeling system. Given as input various land use, sociodemographic, activity system, and transportation level-of-service attributes, the system provides as output the complete daily activity-travel patterns for each individual in each household of a population. The underlying econometric modeling framework and the software development experience associated with CEMDAP are described. The steps involved in applying CEMDAP to predict activity-travel patterns and to perform policy analysis are also presented. Empirical results obtained from applying the software to the Dallas-Fort Worth area demonstrate that CEMDAP provides a means of analyzing policy impacts in ways that are generally infeasible with the conventional four-stage approach.
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Availability:
- Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/155463.aspx
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Supplemental Notes:
- This paper appears in Transportation Research Record No. 1894, Travel Behavior and Values 2004.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Bhat, C R
- Guo, J Y
- Srinivasan, S
- Sivakumar, A
- Publication Date: 2004
Language
- English
Media Info
- Features: Figures; References;
- Pagination: p. 57-66
- Monograph Title: TRAVEL BEHAVIOR AND VALUES 2004
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Serial:
- Transportation Research Record
- Issue Number: 1894
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Case studies; Daily; Econometric models; Microsimulation; Policy analysis; Travel patterns
- Geographic Terms: Dallas-Fort Worth Metropolitan Area
- Subject Areas: Highways; Planning and Forecasting; Policy; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00984646
- Record Type: Publication
- ISBN: 0309094887
- Files: TRIS, TRB, ATRI
- Created Date: Jan 27 2005 12:00AM