Using crowdsourcing to prioritize bicycle network improvements : final report.

Details

• Creators:
  Watkins, Kari E. ; LeDantec, Chris ; Misra, Aditi ; Asad, Mariam ; Mingus, Charlene ; Bearn, Cary ; Poznanski, Alex ; Guo, Anhong ; Ammanamanchi, Rohit ; Gentry, Vernon ; Gooze, Aaron
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• Corporate Creators:
  Georgia Institute of Technology. School of Civil and Environmental Engineering ; Georgia Institute of Technology. School of Literature, Media and Communication
• Corporate Contributors:
  Georgia. Dept. of Transportation. Office of Materials & Research ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Bicycle facilities
  • Cyclists
  • Data collection
  • Decision making
  • Demographics
  • Global Positioning System
  • Mobile applications
  • Route choice
  • Transportation planning Crowdsourced data
  • crowdsourcing
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• Publication/ Report Number:
  FHWA-GA-16-1439
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;Atlanta (Georgia);Georgia
• Edition:
  Final report
• Corporate Publisher:
  Georgia. Dept. of Transportation. Office of Materials & Research
• Abstract:
  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.
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• Format:
  PDF
• Funding:
  GDOT Research Project No. 0013114 (RP 14-39;UTC Sub-Project)
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31109/dot_31109_DS1.pdf
• File Type:
  [PDF - 6.11 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e216f4a366550f7b40a0bcb3f621d1f6179c000297cd2d96c675644587d8f623ac284c94a136963ca824a5651acdb5e0dfcab7cf9cb1aaf148c4b985eeb5afe5