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  USA  94720

    National Science Foundation

    Research Applied to National Needs
    Washington, DC  USA  20550

    Alfred P. Sloan Foundation

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

Media Info

  • Pagination: 94 p.

Subject/Index Terms

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