A study conducted to simulate travel patterns in small urban areas is reported. The purpose of the study was to develop models that would simulate internal-external trips and external-external (through) trips. Regression analysis and cross classification of data were tested in an attempt to predict the number of internal-external trips and the percentage of through trips. Regression analysis was used in the development of a through-trip distribution model. Grouping data for analysis created some problems; however, trial-and-error evaluation enabled the selection of variables that produced reasonable results. The variables found to be most significant in the development of internal-external-trip models are population and employment. For through-trip models, the variables used are population, functional classification, average annual daily traffic at the external station, and percentage of trucks. In developing through-trip distribution models, the variables of significance are average annual daily traffic at the destination station, percentage of trucks at the destination station, percentage of through trips at the destination station, and ratio of destination average annual daily traffic to total average annual daily traffic at all stations (value squared). Overall, for ease of application and accuracy the models developed appear to be adequate for planning purposes. (Author)

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 23-29
  • Monograph Title: Issues in transportation planning for small and medium-sized communities
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00310737
  • Record Type: Publication
  • ISBN: 0309029848
  • Files: TRIS, TRB
  • Created Date: Aug 5 1980 12:00AM