THE URBAN TRAVEL DEMAND FORECASTING PROJECT PHASE I FINAL REPORT SERIES, VOLUME VIII. DEMOGRAPHIC DATA FOR POLICY ANALYSIS

A forecasting method used to obtain the effects of urban transportation policy is presented. SYNSAM is a methodology for generating a synthetic representative sample of households for an urban area for any specified date. The authors describe the implementation of this procedure for the San Francisco Bay Area, involving the construction of a sample of 12,000 households for the year 1976. In addition to residence and work locations, data for each household comprises a subset of the socioeconomic variables tabulated in the Public Use Sample (PUS) of the 1970 Census. The implementation utilizes 1960 and 1970 Census data plus external projections of population and economic conditions.

• Supplemental Notes:
  • Sponsored in part by Alfred P. Sloan Foundation, New York.
• Corporate Authors:

  University of California, Berkeley

  Institute of Transportation Studies Library
  Berkeley, CA  United States  94720

  National Science Foundation

  Research Applied to National Needs
  Washington, DC  United States  20550

  Alfred P. Sloan Foundation

  630 Fifth Avenue
  New York, NY  United States  10020
• Authors:
  • McFadden, D
  • Cosslett, S
  • DUGUAY, G
  • Jung, W S
• Publication Date: 1977-6

Media Info

• Pagination: 94 p.

Subject/Index Terms

• TRT Terms: Demographics; Economic conditions; Forecasting; Mathematical models; Methodology; Policy; Transportation; Travel demand; Urban transportation
• Uncontrolled Terms: Transportation models
• Geographic Terms: California
• Subject Areas: Planning and Forecasting; Policy; Transportation (General);

Filing Info

• Accession Number: 00168736
• Record Type: Publication
• Source Agency: National Technical Information Service
• Report/Paper Numbers: UCB-ITS-SR-77-10, NSF/RA-770143
• Contract Numbers: NSF-GI-43740,, NSF-APR74-20392
• Files: TRIS
• Created Date: Dec 27 2002 12:00AM