Temporal and Weather Impacts on Bicycle Volumes

This study provides the first comprehensive analysis of five years of detector data for two permanent bicycle count stations (representing four locations) on multi-use paths in Boulder, CO. First, temporal patterns of daily bicycle counts were explored. A strong linear correlation between high temperature and daily counts was noted with a slight decrease in counts at temperatures greater than 90º F. Counts also decreased on days with rain or snow, although this effect was not linear. In addition, counts decreased on weekends at most locations. From this information seasonal factors for bicycle counts were also estimated. The results of the temporal pattern and weather correlation analyses were used to derive the factors in a linear regression model that was developed and could be used to estimate daily volumes.

• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Lewin, Amy
• Conference:
  • Transportation Research Board 90th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2011-1-23 to 2011-1-27
• Date: 2011

Language

• English

Media Info

• Media Type: DVD
• Features: Figures; References; Tables;
• Pagination: 18p
• Monograph Title: TRB 90th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

• TRT Terms: Bicycle counts; Bicycle travel; Linear regression analysis; Loop detectors; Temperature; Traffic volume; Weather; Weekdays; Weekends
• Geographic Terms: Boulder (Colorado)
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01337555
• Record Type: Publication
• Report/Paper Numbers: 11-2536
• Files: TRIS, TRB
• Created Date: Apr 21 2011 1:10PM