Analysis of Landscape and Topographical Features Associated with Deer-Vehicle Collisions in Kansas City, MO
Caby, Michael D.
MetadataShow full item record
As urban sprawl increases, it reduces the amount of natural habitat available for deer species resulting in costly deer-vehicle collisions (DVCs). Pulling insight from previous research, I developed a model to identify locations of frequent DVCs using only remotely sensed data from Kansas City, Mo. I then tested the model in a novel environment, St. Louis, Mo. I used Geographical Information System (GIS) software to analyze and measure landscape features surrounding “hotspots” of DVCs and compare them to control areas with no DVCs. The features that were significantly different were tested using logistic regression to isolate those with the most predictive capability. The two models developed using these features were approximately 65% and 81% successful in identifying hotspots in Kansas City and St. Louis, but misidentified 25% and 56% of the controls. The error is too great to apply these models in future road planning, but they did show a link between DVCs and forests, streams and parks as did the previous research.