Bicycling is becoming more and more used as a way of commuting in a person’s average day. It is also a popular way for college students and faculty to get around on their campus, but it varies by the type and size of the community. With a rise in bicycling on campuses there comes a rise in bicycle collisions with vehicles, pedestrians, and other bicycles. There has been extensive research studying bicycle and pedestrian crashes. However, most of this research involves crashes with vehicles which are more common. While some aspects of this research can be applied to non-motorized paths, there is a lack of research strictly focusing on only bicycles and pedestrians. This study aimed to fill this knowledge gap by developing a model to identify locations on roads and paths (hotspots) on college campuses that are likely to have a bicycle collision and predict the likelihood of a serious bicycle crash on a non-motorized path based on the characteristics of the path. This study ide
Scientific Research Publishing