Guide for Seasonal Adjustment and Crowdsourced Data Scaling

This guide describes two different adjustment processes that can be used with pedestrian and bicyclist data. The first adjustment process is seasonal adjustment, which is applied to short-duration counts that are collected during a specific month of the year. Seasonal adjustment annualizes the short-duration counts, such that the resulting adjusted count value is a better estimate of the annual average daily traffic. This guide provides monthly adjustment factors for both pedestrian and bicyclist count data, which is recommended for use with all short-duration count data that include at least seven days of data. The second adjustment process described in this guide is crowdsourced data scaling, which is applied to crowdsourced bicyclist data samples that are collected from global positioning system (GPS)-enabled smartphones. Because the crowdsourced data represent only a sample of the total bicyclists, the number of samples must be scaled or expanded to estimate the total number of bicyclists. This guide describes a simple scaling process that estimates average annual daily bicyclists using the number of crowdsourced data samples, the functional class of the bicyclist travel facility, and the density of high-income households near the bicyclist travel facility.

• Record URL:
  https://static.tti.tamu.edu/tti.tamu.edu/documents/0-6927-P6.pdf
• 
• Summary URL:
  https://library.ctr.utexas.edu/Presto/catalogid=36662
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/62064
• Corporate Authors:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  Texas Department of Transportation

  Research and Technology Implementation Office
  125 E 11th Street
  Austin, TX  United States  78701-2483

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Dadashova, Bahar
  • 0000-0002-4592-9118
  • Griffin, Greg
  • Das, Subasish
  • Turner, Shawn
  • Graham, Madison
• Publication Date: 2018-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 78p

Subject/Index Terms

• TRT Terms: Bicycle counts; Crowdsourcing; Cyclists; Global Positioning System; Information processing; Pedestrian counts; Pedestrians; Seasons; Smartphones
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01690808
• Record Type: Publication
• Report/Paper Numbers: FHWA/TX-18/0-6927-P6, 0-6927-P6
• Contract Numbers: 0-6927
• Files: NTL, TRIS, ATRI, USDOT, STATEDOT
• Created Date: Jan 15 2019 10:41AM