MODELLING CAR AVAILABILITY MODAL SPLIT AND TRIP DISTRIBUTION BY MONTE-CARLO SIMULATION: A SHORT WAY TO INTEGRATED MODELS

The model uses a Monte-Carlo algorithm to simulate modal split and trip distribution as an interconnected decision process at the individual level. Using census data, the individuals of a planning region are classified into "situation groups", which represent significantly different decision situations with respect to socio-demographic position and territorial location. According to the theoretical framework, which emphasises mobility constraints instead of preferences, household structure and sex (time budget and car availability constraints) and work place characteristics (locational constraints) are the key variables. For each situation group, "decision profiles" are empirically determined; these describe car availability, travel time constraints and work place distribution. Modal split and trip distribution are simulated as an interconnected individual decision process, which is stochastically determined by the location of the individual and the decision profile of this situation group. The algorithm is very sensitive and flexible and extremely well suited to electronic processing. An extended and modified version is currently being used in the preparation of regional transportation plans for several German city regions. /Author/

  • Availability:
  • Corporate Authors:

    Elsevier Publishing Company, Incorporated

    52 Vanderbilt Avenue
    New York, NY  USA  10017
  • Authors:
    • Kreihich, V
  • Publication Date: 1979-6

Media Info

  • Features: Figures; References;
  • Pagination: p. 153-166
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00300379
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 19 1979 12:00AM