Using crowdsourcing to prioritize bicycle network improvements : final report.
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Published Date:2016-04-01
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Language:English
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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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