Mark P. Kumler, Ph.D.
Fang Ren, Ph.D.
Traffic collisions are a major concern for the government agencies responsible for our road networks. Knowing where areas with high densities of traffic collision are gives the agencies guidance in where to best implement traffic collision reduction measures. This project explains how ModelBuilder, a modeling tool, was used to determine hotspots of traffic collisions in the City of Redlands. Using kernel density estimation, raster reclassification, and raster to polygon conversion, the model creates hotspot polygons using traffic collision point data as input. Traffic collision attribute data is then added to the hotspot polygons. A web application was also developed for examining the hotspots and their attribute data. This web application provides the city with a user friendly interface for examining the hotspots and can help the city determine which traffic collision reduction measures should be implemented where.
Bills, S. D. (2009). Examining Hotspots of Traffic Collisions in Redlands, California (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/13