Walking and cycling have numerous health benefits, but these popular modes of transportation are prone to numerous collisions with motor vehicles.

The goal of this study is to examine some of the factors that contribute to the severity of crashes in Maryland, which include property crashes, injury crashes, and fatal crashes. The light condition, junction condition, road surface condition, lane type, road condition, road division type, weather condition, time of day, population density, and the presence of schools were all considered. To demonstrate the relationship between each variable and the severity of the crash, the ordered logistic regression model was used. According to the findings, there was a positive significant relationship between the severity of crashes and crashes that occurred in areas with no lighting, at non-intersections, and on roadways with a positive median barrier. The frequency of crashes in various regions was also influenced by population density, time of day, and the presence of schools.