THE SEQUENCED ACTIVITY MOBILITY SIMULATOR (SAMS): AN INTEGRATED APPROACH TO MODELING TRANSPORTATION, LAND USE AND AIR QUALITY

This paper introduces the Sequenced Activity-Mobility Simulator (SAMS), a dynamic and integrated microsimulation forecasting system for transportation, land use and air quality, designed to overcome the deficiencies of conventional four-step travel demand forecasting systems. The proposed SAMS framework represents a departure from many of the conventional paradigms in travel demand forecasting. In particular, it aims at replicating the adaptive dynamics underlying transportation phenomena; explicitly incorporates the time-of-day dimension; represents human behavior based on the satisfying, as opposed to optimizing, principle; and endogenously forecasts socio-demographic, land use, vehicle fleet mix, and other variables that have traditionally been projected externally to be input into the forecasting process.

  • Availability:
  • Corporate Authors:

    Martinus Nijhoff Publishers

    Kluwer Academic Pub Group, Distribution Center, P.O. Box 322
    3300 AH Dordrecht,   Netherlands 
  • Authors:
    • Kitamura, R
    • PAS, E I
    • Lula, C V
    • Lawton, T K
    • Benson, P E
  • Publication Date: 1996-8

Language

  • English

Media Info

  • Pagination: p. 267-291
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00728971
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 31 1996 12:00AM