Journal article

Predicting deer-vehicle collision risk across Victoria, Australia

Christopher Davies, Wendy Wright, Fiona Hogan, Casey Visintin



The risk of deer-vehicle collisions (DVCs) is increasing in south-east Australia as populations of introduced deer expand rapidly. There are no investigations of the spatial and temporal patterns of DVC or predictions of where such collisions are most likely to occur. Here, we use an analytical framework to model deer distribution and vehicle movements in order to predict DVC risk across the State of Victoria. We modelled the occurrence of deer using existing occurrence records and geographic climatic variables. We estimated patterns of vehicular movements from records of average annual daily traffic and speeds. Given the low number of DVCs reported in Victoria, we used a generalised linear ..

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University of Melbourne Researchers


Funding Acknowledgements

This research was supported by an Australian Government Research Training Program (RTP) scholarship and Federation University Australia's School of Health and Life Sciences. We thank David Wakeling from Wildlife Victoria and Inka Veltheim from VicRoads for providing deer collision data for this study. Finally, we thank the journal's editor and two anonymous reviewers for their comments on the manuscript.