A simulation model for recreational travel was developed for use in analyzing the impact of outdoor recreational travel by residents of a 9-state Upper Midwest region to Michigan, Minnesota, and Wisconsin. Travel data were collected for 6,441 randomly selected households by using a telephone home-interview survey procedure. After the trips were stratified into summer-vacation and summer- weekend categories, cross-classification analysis was used to relate household trip-making frequencies to the socioeconomic characteristics of the household and its accessibility to recreational attractions within the study area. Gravity models then were calibrated to distribute recreational trips within a county-level system of demand and supply zones. Zone trip productions were estimated by applying the cross-classification model to those households within ecah demand zone/ zone trip attractions were established synthetically on the basis of the reported trip ends from the telephone home-interview survey and the distribution of seasonal homes across the region. The gravity-model trip tables then were assigned to a regional highway corridor network for comparison with automatic- traffic-recorder data.

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 96-106
  • Monograph Title: New approaches to travel forecasting
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00141294
  • Record Type: Publication
  • ISBN: 030902482X
  • Files: TRIS, TRB
  • Created Date: Oct 26 1977 12:00AM