Near Misses and Split Routes: Comparing Rider Behavior, Driver Interaction, and Route Choice for Cyclists
AffiliationSchool of Landscape Architecture and Planning, University of Arizona
MetadataShow full item record
PublisherTaylor & Francis
CitationJoseph Edward Iuliano & Ladd Keith (2022) Near misses and split routes: Comparing rider behavior, driver interaction, and route choice for cyclists, Journal of Transportation Safety & Security, DOI: 10.1080/19439962.2022.2155745
RightsCopyright © 2022 Taylor & Francis Group, LLC and The University of Tennessee.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractThe built environment, cyclist behavior, and driver interactions can influence route choice and, ultimately, cyclist safety. Recent studies use crowdsourced data, such as Strava, to document route selection; however, aggregated data may not fully explain the factors underpinning route selection. Utilizing naturalistic methods, we analyze videos of recorded rides and GPS data from six cyclists representing three types of riders—commuters, recreational, and athletes—to explore route choices, behavior, and driver interactions in Tucson, Arizona. Our analysis of three route selection cases highlights how intersection design, driver interactions, pavement conditions, and type of riding lead cyclists to modify behaviors and select longer detours to avoid unsafe intersections. Additionally, our study combines Strava heatmaps and physical bicycle counts to explore the number of cyclists potentially facing similar factors influencing route choice. By studying cyclists with different riding aims and utilizing both Strava heatmaps and video recordings, researchers can determine the underlying conditions, identify route locations in need of improvements, and collaborate with practitioners to implement changes to increase cyclist safety through appropriate solutions. This analysis can help ensure that designs meet user expectations.
Note12 month embargo; published online: 13 December 2022
VersionFinal accepted manuscript
SponsorsThis work was supported by the National Institute for Transportation and Communities (NITC) grant 1276.