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High quality and consistent bicycling infrastructure data are needed to advance research into equity and safety and for planning active transportation. There is no consistent and complete national dataset for bicycling infrastructure in Canada. Our goal is to develop a national bicycling infrastructure dataset by 1) classifying OpenStreetMap (OSM) using the Canadian Bikeway Comfort and Safety Classification System (Can-BICS) as consistent criteria and categorization for comfort class and infrastructure type; 2) performing a site-specific accuracy assessment by comparing the classification with more than 2,000 reference points from a stratified random sample in 15 cities; and 3) presenting summary results from the national dataset. Based on reference data collected in 15 test cities, the classification had an estimated accuracy of 76 ± 3% for presence or absence of infrastructure, 71 ± 4% for comfort class, and 69 ± 4 % (by length) for infrastructure type. High comfort infrastructure was slightly underestimated (since bike paths were sometimes confused with multi-use paths) and low comfort infrastructure was slightly overestimated. Nationally, we identified 22,992 km of bicycling infrastructure meeting Can-BICS standards and 48,953 km of non-conforming infrastructure. Multi-use paths are the most common infrastructure type by length (16.6%), followed by painted bike lanes (11.0%), and then high comfort infrastructure (cycle tracks, local street bikeways, and bike paths) (4.3%). There was a wider range in access to bicycling infrastructure in small cities than in medium and large cities. To reduce repeated effort assembling data and increase reproducible active transportation research, we encourage contribution to OSM.
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