PEDESTRIAN VOLUME ESTIMATION BY LAND-USE VARIABLES

Although several studies have attempted to develop mathematical models for projection of pedestrian trips, no simple and direct model exists that could utilize land-use data for projection of pedestrian volume without considerable data collection efforts and expense. The primary objective of this study was to develop simple quantitative models by using land-use data to estimate pedestrian volume for the CBD sidewalks. The statistical multiple regression technique was used to develop two models for the CBD circulation. The first model was derived from noon-hour pedestrian volume and the second model was formulated from average hourly pedestrian volume by using eight land-use variables. The statistical evaluation of the models were made and the equations developed should provide accurate predictions of pedestrian volume. The models have utility in planning, traffic engineering, and design of pedestrian facilities.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Behnam, J
  • Patel, B G
• Publication Date: 1977-7

Media Info

• Features: References;
• Pagination: p. 507-520
• Serial:
  • Journal of Transportation Engineering
  • Volume: 103
  • Issue Number: 4
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Central business districts; City planning; Land use; Land use planning; Mathematical models; Pedestrian flow; Pedestrians; Traffic control; Traffic engineering; Traffic flow; Traffic surveys; Traffic volume; Transportation; Walkways
• Old TRIS Terms: Projection
• Subject Areas: Administration and Management; Economics; Operations and Traffic Management; Society; Transportation (General);

Filing Info

• Accession Number: 00165223
• Record Type: Publication
• Source Agency: Engineering Index
• Files: TRIS
• Created Date: Mar 29 1978 12:00AM