Using Crowdsourcing to Prioritize Bicycle Network Improvements

Effort to improve the bicycle route network using crowdsourced data is a powerful means of incorporating citizens in infrastructure improvement decisions, which will improve livability by maximizing the benefit of the bicycle infrastructure funding and empowering citizens to be more active in transportation decisions. This research developed a free, GPS-enabled smartphone application to collect socio-demographic and route data of cyclists in Atlanta. The crowdsourced data were then used to model the factors influencing bicycle route choices of different types of cyclists as defined by their perceived safety and comfort with a facility. Finally, this research refined a quality-of-service measure for bicyclists based on the perceived level of traffic stress (LTS) that the users attach to the facility. The developed quality-of-service measure can be used by transportation professionals to compare alternative roadway and bikeway designs using quantifiable variables such as speed limit, traffic volume, and number of through lanes.

• Record URL:
  http://g92018.eos-intl.net/eLibSQL14_G92018_Documents/14-39.pdf
• 
• Corporate Authors:

  Georgia Institute of Technology, Atlanta

  School of Civil and Environmental Engineering
  Atlanta, GA  United States  30332

  Georgia Institute of Technology, Atlanta

  School of Literature, Media and Communication
  Atlanta, GA  United States 

  Georgia Department of Transportation

  Office of Materials and Research, 15 Kennedy Drive
  Forest Park, GA  United States  30297-2534

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Watkins, Kari E
  • LeDantec, Chris
  • Misra, Aditi
  • Asad, Mariam
  • Mingus, Charlene
  • Bearn, Cary
  • Poznanski, Alex
  • Guo, Anhong
  • Ammanamanchi, Rohit
  • Gentry, Vernon
  • Gooze, Aaron
• Publication Date: 2016-4

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 217p

Subject/Index Terms

• TRT Terms: Bicycle facilities; Crowdsourcing; Cyclists; Data collection; Decision making; Demographics; Global Positioning System; Mobile applications; Route choice; Transportation planning
• Geographic Terms: Atlanta (Georgia)
• Subject Areas: Data and Information Technology; Highways; Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01599225
• Record Type: Publication
• Report/Paper Numbers: FHWA-GA-16-1439, GDOT Research Project No. 0013114
• Contract Numbers: RP 14-39; UTC Sub-Project
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: May 20 2016 3:47PM