This paper presents methods that apply disaggregate probability choice demand models to a sample of sketch plan zones, to evaluate various automotive pollution control strategies in the Los Angeles region. The results presented here indicate that disaggregate demand models hold promise for quick evaluation of transportation-related policies. The models were used to simulate the effects of various pollution control strategies by projecting 1974 base case trip behavior and the change that ould have been caused by gasoline taxes, emissions taxes, parking surcharges, and bus system improvements. The resulting predictions are comparable with other research efforts; for example, the implied elasticity of gasoline in Los Angeles in 1974 was between 0.19 and 0.24, which corresponds with many econometric estimates of short-run gasoline demand.

Media Info

  • Media Type: Print
  • Features: References; Tables;
  • Pagination: pp 47-49
  • Monograph Title: Passenger travel demand forecasting
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00157829
  • Record Type: Publication
  • ISBN: 0309025850
  • Files: TRIS, TRB
  • Created Date: Sep 28 1977 12:00AM