STRUCTURAL MODEL FOR EVALUATING URBAN TRAVEL RELATIONSHIPS

Urban travel forecasting equations are typically developed by analyzing only the relationships between several possible explanatory variables and the ultimate variable of interest, trip production. Seldom is the full degree of interaction among explanatory variables such as automobile ownership, household size and income, and accessibility understood. In this paper, a structural model is used to examine the relationships among an entire system of variables rather than just the simple isolated effects. The basic concepts and limitations of the modeling approach are discussed, and models of urban household trip production are evaluated. Several conclusions about the causal structure of urban travel relationships are drawn. The structural model is felt to be an important methodological tool for developing urban transportation theory.

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 73-82
  • Monograph Title: TRAVEL DEMAND FORECASTING
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00096446
  • Record Type: Publication
  • ISBN: 0309023734
  • Files: TRIS, TRB
  • Created Date: Jul 15 1981 12:00AM