Using crowdsourcing to prioritize bicycle network improvements : final report.
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2016-04-01
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Edition:Final report
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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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