TY - JOUR
T1 - Near misses and split routes
T2 - Comparing rider behavior, driver interaction, and route choice for cyclists
AU - Iuliano, Joseph Edward
AU - Keith, Ladd
N1 - Publisher Copyright:
© 2022 Taylor & Francis Group, LLC and The University of Tennessee.
PY - 2023
Y1 - 2023
N2 - The 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.
AB - The 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.
KW - naturalistic cycling
KW - route planning
KW - safety
KW - urban planning
KW - video methodology
UR - http://www.scopus.com/inward/record.url?scp=85144057094&partnerID=8YFLogxK
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U2 - 10.1080/19439962.2022.2155745
DO - 10.1080/19439962.2022.2155745
M3 - Article
AN - SCOPUS:85144057094
SN - 1943-9962
VL - 15
SP - 1148
EP - 1171
JO - Journal of Transportation Safety and Security
JF - Journal of Transportation Safety and Security
IS - 11
ER -