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.

• Record URL:
  • http://onlinepubs.trb.org/Onlinepubs/trr/1974/526/526-006.pdf
• Summary URL:
  • https://scholar.google.com/scholar_lookup?title=STRUCTURAL+MODEL+FOR+EVALUATING+URBAN+TRAVEL+RELATIONSHIPS&author=E.+Kannel&author=K.+Heathington&publication_year=1974
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• Supplemental Notes:
  • Publication of this paper sponsored by Committee on Passenger Travel Demand Forecasting. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
• Corporate Authors:

  Transportation Research Board

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• Authors:
  • Kannel, Edward J
  • Heathington, Kenneth W
• Conference:
  • 53rd Annual Meeting of the Highway Research Board
  • Location: Washington District of Columbia, United States
  • Date: 1974-1-21 to 1974-1-25
• Publication Date: 1974

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 73-82
• Monograph Title: TRAVEL DEMAND FORECASTING
• Serial:
  • Transportation Research Record
  • Issue Number: 526
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Equations; Forecasting; Mathematical models; Travel; Trip generation; Urban areas; Urban transportation; Variables
• Uncontrolled Terms: Interaction; Models
• Subject Areas: Administration and Management; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

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