Replication of Annual Average Daily Bicyclists Estimation Methodology Based on North Carolina Count Data

The purpose of this study is to determine the amount of short-duration bicycle count (SDC) data needed to accurately estimate Annual Average Daily Bicyclists (AADB). This effort seeks to replicate a study conducted for the Colorado DOT that sought to determine the number of hours of bicycle counts needed to generate accurate estimates of annual bicycle use and provided an analysis of the errors in AADB estimates due to count duration and frequency.This study uses two years of continuous count station (CCS) data from 14 stations in North Carolina to generate factors to estimate AADB using methods specified by FHWA’s Traffic Monitoring Guide (TMG). To calculate the error of AADB for different count scenarios, subsets of test data were extracted from the CCS data and the error for each scenario was examined. The results of this study support the previous findings that 1) the most cost-effective length for short-duration bicycle counts is one full week when automated counting devices designed for bicycle counting are used, and 2) seasons with higher bicycle volumes have less variation in bicycle counts and consequently more accurate estimates.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ANF00 Section - Pedestrians and Cycles.
• Authors:
  • Searcy, Sarah
  • O'Brien, Sarah Worth
  • Chen, Jesse
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Tables;
• Pagination: 5p

Subject/Index Terms

• TRT Terms: Annual average daily traffic; Bicycle travel; Cost effectiveness; Data analysis; Data collection; Traffic counts
• Geographic Terms: North Carolina
• Subject Areas: Operations and Traffic Management; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01663557
• Record Type: Publication
• Report/Paper Numbers: 18-02912
• Files: TRIS, TRB, ATRI
• Created Date: Mar 22 2018 11:56AM