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Developing A Predictive And Dynamic Moose-Vehicle Collisions Model In Maine, Yue Yu

Honors Theses

Wildlife-vehicle collisions are a major form of human-wildlife conflict. Predictive animal-vehicle collision models have been developed to identify collision hotspots in Maine and guide mitigation strategies. However, most current models are static and unable to produce dynamic forecasts that incorporate changing climate and weather. The goal of my study was to develop a predictive and dynamic model of animal-vehicle collisions in Maine, USA. More than 6,700 moose-vehicle collisions (MVC) occurred from 2003 to 2017 in Maine, raising road safety, socio-economic, and wildlife conservation concerns. I sought to identify factors that contribute to a higher probability of MVCs by comparing two …