Mapping risk: quantifying and predicting the risk of deer-vehicle collisions on major roads in England

Nelli, L. , Langbein, J., Watson, P. and Putman, R. (2018) Mapping risk: quantifying and predicting the risk of deer-vehicle collisions on major roads in England. Mammalian Biology, 91, pp. 71-78. (doi: 10.1016/j.mambio.2018.03.013)

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Wildlife-vehicle collisions are increasing across both Europe and North America, with considerable implications for animal populations themselves, for human safety and in terms of economic cost. Deer are generally the primary species involved in wildlife-vehicle collisions. Common mitigation measures, such as warning signs, chemical repellent, wildlife underpasses and overpasses and roadside fencing, have however proven to have a limited efficacy. The development of tools aimed at predicting the real-time risk of hitting deer on a particular stretch of road can improve both human and wildlife safety, particularly if such tools can be adopted on a large scale. We analysed data on deer-vehicle collisions (DVCs) occurring on the major roads in England between 2008-2014, collected on behalf of Highways England agency. Using zero-inflated regression models, we analysed the relationships between DVCs and data on environmental, bioclimatic and traffic-related factors, on different spatial scales and for different seasons. Traffic flow, average precipitation, and a combination of suburban areas and broadleaved forest were generally associated with increased frequency of DVCs. We used the results of these models to draw seasonal risk maps, which could potentially be used to target appropriate mitigation or measures aimed at increasing driver awareness.

Item Type:Articles
Keywords:Deer-vehicle collisions, risk maps, road management, wildlife management, urban wildlife.
Glasgow Author(s) Enlighten ID:Putman, Professor Rory and Nelli, Dr Luca
Authors: Nelli, L., Langbein, J., Watson, P., and Putman, R.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:Mammalian Biology
ISSN (Online):1618-1476
Published Online:28 March 2018
Copyright Holders:Copyright © 2018 Deutsche Gesellschaft für Säugetierkunde
First Published:First published in Mammalian Biology 91:71-78
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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