The current procedures for prediction of the traffic impact of proposed land use developments and their parking requirements are based on historical and nonquantitative assessment procedures, which has in many cases led to the preparation by local governments of inappropriate parking codes. Research recently undertaken in New South Wales, Australia, aimed at provision of a more quantitative basis for impact prediction. Surveys were conducted at sites in each of the following land use categories: motels, service stations, car dealerships, dealers of car accessories and tires, hotels, road transport terminals, warehouses, recreation, fast food sites, factories, licensed clubs, office blocks, shopping centers, home units (apartments), homes for the aged (retirement villages), and restaurants. Survey results were analyzed by using linear regression techniques. Descriptive models, where able to be developed, are presented in the form of regression equations. Use of these models should take into consideration their accuracy and the range of independent variables for which they are applicable. In situations where it was not possible to develop models, proposed land use developments may be compared with developments surveyed in the study that possess similar characteristics, and a subjective assessment may be made. The use of the survey data as a standard data base should be of considerable value in maintaining a common standard of impact assessment. The models should improve the accuracy of impact predicition and assist in the development of more reliable parking codes and design guidelines. The degree of transferability of these results to countries other than Australia requires further research. (Author)

Media Info

  • Media Type: Print
  • Features: References; Tables;
  • Pagination: pp 51-61
  • Monograph Title: Transportation management, finance, and pricing issues
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00387945
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Sep 28 1984 12:00AM