A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Using Crowdsourcing to Prioritize Bicycle Route Network Improvements
As the emphasis placed on cycling as a means of transportation is increasing in the United States, so is the need for adequate facilities that provide cyclists with a comfortable and connected facility. In order for these facilities to be built and encourage community residents to cycle, the city planners and engineers need to understand what type of facilities are appropriate and where they should be placed. This report uses data collected using the Strava, CycleDixie and CycleAtlanta crowdsourced cycling smartphone applications to determine factors that influence route choice. Specifically, these factors are studied through a) modeling cycling facility prioritization preferences, b) modeling cycling route segment and path choices, and c) developing route suitability score and preference models. This comprehensive research uniquely includes work from both suburban areas, represented by Auburn, AL and urban cores, represented by Atlanta, GA. From the analyses it was found that demographics, roadway characteristics and surrounding land-use had a significant impact on whether a particular street segment would be used.
Using Crowdsourcing to Prioritize Bicycle Route Network Improvements
As the emphasis placed on cycling as a means of transportation is increasing in the United States, so is the need for adequate facilities that provide cyclists with a comfortable and connected facility. In order for these facilities to be built and encourage community residents to cycle, the city planners and engineers need to understand what type of facilities are appropriate and where they should be placed. This report uses data collected using the Strava, CycleDixie and CycleAtlanta crowdsourced cycling smartphone applications to determine factors that influence route choice. Specifically, these factors are studied through a) modeling cycling facility prioritization preferences, b) modeling cycling route segment and path choices, and c) developing route suitability score and preference models. This comprehensive research uniquely includes work from both suburban areas, represented by Auburn, AL and urban cores, represented by Atlanta, GA. From the analyses it was found that demographics, roadway characteristics and surrounding land-use had a significant impact on whether a particular street segment would be used.
Using Crowdsourcing to Prioritize Bicycle Route Network Improvements
J. J. LaMondia (author) / K. Watkins (author)
2017
148 pages
Report
No indication
English
Common Carrier & Satellite , Transportation & Traffic Planning , Urban Administration & Planning , Communications , Transportation , Information Processing Standards , Applications Software , Crowdsourcing ideas , Bicycle routes , Cycling smartphone applications , Improvements , Data collected , Urban area
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