E-Scooter Riding Behaviors and Risks from Naturalistic Driving Study and Crash Data Analysis

E-scooters are becoming increasingly popular as a convenient, fun, and environment-friendly micro-mobility option, especially among younger generations. As the numbers of e-scooter riders increase across cities and towns, related crashes and injuries increase at the same time. This chapter presents a summary of the major results and findings obtained from a multi-year, large-scale naturalistic study that addresses the following important issues: (1) Baseline moving patterns of e-scooters in diverse road environments and location; (2) interaction of e-scooter riders with vehicles and other road users in different scenarios; and (3) the common scenarios for crashes or near-misses involving e-scooter riders. The collected data and analytical results can be used to develop behavior prediction models for e-scooter riders which will help support the development of automated driving systems in challenging urban environments to improve road safety.