E-Scooter Injury Risks by Time of Day

E-Scooter Injury Risks by Time of Day

Kevin Rix, Kate McDonald, and colleagues conducted a retrospective cohort study analyzing the relationship between the time of day and injury incidence among e-scooter riders in a large U.S. city. The study found that e-scooter injury incidence is significantly higher...
Gamified Strategy Reduces Distracted Driving by 28%

Gamified Strategy Reduces Distracted Driving by 28%

Research led by Jeff Ebert, Kit Delgado, Kate McDonald, and colleagues has revealed a promising approach to reducing distracted driving. By combining motivation, positive reinforcement, and financial incentives in a competitive game format, the study achieved a 28%...
Driver Algorithm Accuracy

Driver Algorithm Accuracy

A validation study led by Jeff Ebert, Kate McDonald, and Kit Delgado demonstrated that a widely used algorithm for classifying driver trips vs. passenger trips using smartphone kinematics was 97% accurate and robust to a variety of phone characteristics, vehicle...