title: Risky riding: Naturalistic methods comparing safety behavior from conventional bicycle riders and electric bike riders.
abstract: As electric bicycles (e-bikes) have emerged as a new transportation mode, their role in transportation systems and their impact on users have become important issues for policy makers and engineers. Little safety-related research has been conducted in North America or Europe because of their relatively small numbers. This work describes the results of a naturalistic GPS-based safety study between regular bicycle (i.e., standard bicycle) and e-bike riders in the context of a unique bikesharing system that allows comparisons between instrumented bike technologies. We focus on rider safety behavior under four situations: (1) riding in the correct direction on directional roadway segments, (2) speed on on-road and shared use paths, (3) stopping behavior at stop-controlled intersections, and (4) stopping behavior at signalized intersections. We find that, with few exceptions, riders of e-bike behave very similarly to riders of bicycles. Violation rates were very high for both vehicles. Riders of regular bicycles and e-bikes both ride wrong-way on 45% and 44% of segments, respectively. We find that average on-road speeds of e-bike riders (13.3kph) were higher than regular bicyclists (10.4kph) but shared use path (greenway) speeds of e-bike riders (11.0kph) were lower than regular bicyclists (12.6kph); both significantly different at >95% confidence. At stop control intersections, both bicycle and e-bike riders violate the stop signs at the similar rate with bicycles violating stop signs at a slightly higher rate at low speed thresholds (∼80% violations at 6kph, 40% violations at 11kph). Bicycles and e-bikes violate traffic signals at similar rates (70% violation rate). These findings suggest that, among the same population of users, e-bike riders exhibit nearly identical safety behavior as regular bike riders and should be regulated in similar ways. Users of both technologies have very high violation rates of traffic control devices and interventions should occur to improve compliance.
authors.affiliation: Center for Transportation Research, University of Tennessee, Knoxville, TN, United States. Electronic address: Blangfo1@utk.edu.
authors.forename: Brian Casey
authors.initials: BC
authors.lastname: Langford
authors.affiliation: Department of Geography, 304 Burchfiel Geography Building, University of Tennessee, Knoxville, TN, United States. Electronic address: jchen42@vols.utk.edu.
authors.forename: Jiaoli
authors.initials: J
authors.lastname: Chen
authors.affiliation: Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States. Electronic address: cherry@utk.edu.
authors.forename: Christopher R
authors.initials: CR
authors.lastname: Cherry
mesh_terms: D001642:Bicycling / Q000523:psychology*; D011211:Electric Power Supplies; D005260:Female; D040362:Geographic Information Systems; D006801:Humans; D008297:Male; D009049:Motorcycles; D012309:Risk-Taking; D012449:Safety
keywords: Bicycle; Bikeshare; Electric bike; GPS; Naturalistic; Traffic control device compliance