Traffic Injury Prevention

(The H4-Index of Traffic Injury Prevention is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
Casualty risk of e-bike rider struck by passenger vehicle using China in-depth accident data59
The characteristics of dockless electric rental scooter-related injuries in a large U.S. city38
Investigation of traffic and safety behavior of pedestrians while texting or web-surfing28
The failings of per se limits to detect cannabis-induced driving impairment: Results from a simulated driving study26
Speeding and impaired driving in fatal crashes—Results from in-depth investigations26
Drivers’ visual load at different time periods in entrance and exit zones of extra-long tunnel26
Injuries related to electric scooter and bicycle use in a Washington, DC, emergency department22
An investigation on the risk factors associated with driving errors under the influence of alcohol using structural equation modeling21
Road safety situation of electric bike riders: A cross-sectional study in courier and take-out food delivery population20
Prevalence of non-nominal seat positions and postures among front-seat passengers19
Investigating the effects of driving environment and driver characteristics on drivers’ compliance with speed limits18
Thoracolumbar spine kinematics and injuries in frontal impacts with reclined occupants17
Serious motor vehicle collisions involving young drivers on Norwegian roads 2013–2016: Speeding and driver-related errors are the main challenge17
Forecasting deaths of road traffic injuries in China using an artificial neural network17
Seating preferences in highly automated vehicles and occupant safety awareness: A national survey of Chinese perceptions17
Red-light running behavior of delivery-service E-cyclists based on survival analysis16
Submarining sensitivity across varied seat configurations in autonomous driving system environment16
Effectiveness of front crash prevention systems in reducing large truck real-world crash rates16
User perceptions of automated Truck-Mounted attenuators: Implications on work zone safety16