Active transportation measurement : Minneapolis case study.
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2013-06-01
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Abstract:This research examines longitudinal bicycle count data to better understand the impact of new bicycle facilities on use. The study site is Minneapolis which has invested close to $25 million over 8 years to improve active transportation facilities as part of the federal Nonmotorized Transportation Program. GIS buffering analysis, Ordinary Least Squares regression analysis, and individual growth models were used to analyze the bicycle count data. Longitudinal analysis through the individual growth models found that three key factors appear to be leading to the growth in cycling at study locations: the presence of bicycle facilities at the count location, the existing length of bicycle facilities in the adjacent areas, and the facilities added over time. Each of these factors contributes to the growth in the number of cyclists observed at count locations over the study period.
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