Mapping bicycling exposure and safety risk using Strava Metro

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dc.contributor.author Ferster, Colin
dc.contributor.author Nelson, Trisalyn
dc.contributor.author Laberee, Karen
dc.contributor.author Winters, Meghan
dc.date.accessioned 2021-03-01T23:35:18Z
dc.date.available 2021-03-01T23:35:18Z
dc.date.copyright 2021 en_US
dc.date.issued 2021
dc.identifier.citation Ferster, C., Nelson, T., Laberee, K., & Winters, M. (2021). Mapping bicycling exposure and safety risk using Strava Metro. Applied Geography, 127, 1-7. https://doi.org/10.1016/j.apgeog.2021.102388. en_US
dc.identifier.uri https://doi.org/10.1016/j.apgeog.2021.102388
dc.identifier.uri http://hdl.handle.net/1828/12734
dc.description.abstract Overcoming concerns about bicycling safety is critical to increasing the health benefits of bicycling for transportation. While exposure measures are critical for monitoring and understanding bike safety, lack of spatially and temporally detailed bike counts makes it challenging to conduct robust bicycling safety studies. Crowdsourced data from smartphone apps like Strava provide counts for nearly all individual road and trail sections with 1-min temporal resolution. Researchers have found that patterns of Strava bicyclists are similar to all bicyclists in our study area. In this paper, we develop and test a method to normalize bike safety incident hotspots using exposure estimated from Strava data for Ottawa, Canada. We mapped incident hotspots normalized by exposure at increasingly detailed temporal scales. In a dataset with more than more than 8 million Strava activities and 395 incidents (approximately 20,000 Strava activities per incident), adjusting for exposure moved incident hotspots away from protected bike lanes and multi-use paths and onto commercial streets with no bike infrastructure. Strava data are available to correct for exposure where other measures are not available. We encourage researchers, planners, and public health practitioners to consider crowdsourced data to fill exposure data gaps and provide context for interpreting incident data. en_US
dc.description.sponsorship This work was supported by a grant from the Public Health Agency of Canada to BikeMaps.org. Additional support for MW was provided by the Michael Smith Foundation for Health Research. Thank you to Strava, the City of Ottawa, and BikeMaps.org contributors for providing data. en_US
dc.language.iso en en_US
dc.publisher Applied Geography en_US
dc.subject Temporal scale en_US
dc.subject Active transportation en_US
dc.subject KDE en_US
dc.subject Hotspots en_US
dc.title Mapping bicycling exposure and safety risk using Strava Metro en_US
dc.type Article en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US

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