ESTIMATING THE DRAW OF PASS-BY TRAFFIC TO PROPOSED SHOPPING CENTER DEVELOPMENT

This report documents the procedure and findings of a comprehensive assessment of analytic methods for estimating the influence of "captured" pass-by traffic within the overall trip generation potential of shopping center developments. The research effort was conducted in three phases: 1) a review of current and state-of-the-art practices; 2) the development of an improved analytic method for estimating the contribution of pass-by traffic to the trip generation potential of a site; and 3) the performance of site-level data collection and analysis to determine the statistical reliability of the proposed method. The research effort was concluded with mixed success. Practitioners regard the method presented in the Institute of Transportation Engineers (ITE) publication, "Trip Generation," 4th Edition, as a useful standardized analytical approach. This approach associates the influence of pass-by traffic with the gross leasable floor area of the commercial site under review. However, reservations were expressed regarding the statistical robustness and potentially overly simplified nature of this technique. An expanded list of independent variables was assembled, including the following: shopping center size; presence of similar development downstream; traffic volume on adjacent roadways; level of service on adjacent roadways; function classification of adjacent roadways; and divided/undivided nature of adjacent roadways. To assess the significance of these factors, the research team attempted to collect these data in the vicinities of shopping centers where pass-by traffic capture rates had previously been recorded. Based on the limited response, it appears that traffic volume on roadways adjacent to the site, in combination with shopping center size, improves the correlation coefficient associated with observed capture rates of pass-by traffic. The low response to the data solicitation effort suggests that data availability and method simplicity may be particularly important in trip generation studies.

• Corporate Authors:

  University of Delaware, Newark

  Delaware Transportation Institute
  Newark, DE  United States  19716
• Authors:
  • Goodman, C R
  • Bhide, V M
  • Chakrobarty, P
  • Perincherry, V
  • Ramasami, S
• Publication Date: 1989-9

Media Info

• Features: Appendices; References; Tables;
• Pagination: 26 p.

Subject/Index Terms

• TRT Terms: Data collection; Development; Estimating; Methodology; Planning; Shopping centers; Size; State of the art studies; Traffic volume; Trip generation
• Old TRIS Terms: Shopping center size
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00601285
• Record Type: Publication
• Report/Paper Numbers: 89-T2-5
• Files: TRIS
• Created Date: Nov 30 1990 12:00AM