Understanding E-Scooter Incidents Patterns in Street Network Perspective: A Case Study of Travis County, Texas
Abstract
In recent years, dockless electric scooter (E-scooter) services have emerged as a popular micro transit option in the United States. However, ensuring the safety of E-scooter usage in urban environments remains a challenge due to limited data on E-scooter-related traffic incidents. This study aims to shed light on E-scooter crashes from a street network perspective. Using parcel-level street network data from Zillow and Geographic Information System (GIS) tools, we conducted spatial analysis comparing E-scooter crashes with traffic incidents. The results indicate a spatial correlation between E-scooter crashes and traffic incidents, but E-scooter crashes exhibit distinct characteristics. Specifically, they tend to occur near traffic signals and on primary roads, highlighting the need for targeted safety measures in these areas.
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