The risk of bicycle crashes with motor vehicles is poorly understood due in part to the challenges inherent in assessing bicycle-vehicle interactions in the real-world. We made novel use of a driving simulator to quantitatively evaluate bicycle-motor vehicle (BMV) crash risk associated with various road characteristics and infrastructure elements. To do so, we recruited 30 adult subjects to drive a predefined simulated route through urban, suburban, and rural environments with and without virtual bicyclists present. Our primary outcomes were BMV separation (as a measure of crash risk) and vehicle speed (as a measure of potential crash severity). We also asked subjects to complete a survey that assessed demographics, driving experience, and driving- and risk-related knowledge, attitudes, and behaviors, so we could consider these factors in models of crash risk.
DUE TO OVERWHELMING RESPONSE, REGISTRATION FOR THIS EVENT IS NOW CLOSED! Please join us next month for Dr. Bogat's presentation.