On reliable identification of factors influencing wildlife-vehicle collisions along roads

Journal of Environmental Management
Michal BílJiří Sedoník

Abstract

Wildlife-vehicle collisions (WVCs) pose a serious global issue. Factors influencing the occurrence of WVC along roads can be divided in general into two groups: spatially random and non-random. The latter group consists of local factors which act at specific places, whereas the former group consists of globally acting factors. We analyzed 27,142 WVC records (roe deer and wild boar), which took place between 2012 and 2016 on Czech roads. Statistically significant clusters of WVCs occurrence were identified using the clustering (KDE+) approach. Local factors were consequently measured for the 75 most important clusters as cases and the same number of single WVCs outside clusters as controls, and identified by the use of odds ratio, Bayesian inference and logistic regression. Subsequently, a simulation study randomly distributing WVC in clusters into case and control groups was performed to highlight the importance of the clustering approach. All statistically significant clusters with roe deer (wild boar) contained 34% (27%) of all records related to this species. The overall length of the respective clusters covered 0.982% (0.177%) of the analyzed road network. The results suggest that the most pronounced signal identifying the ...Continue Reading

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Oct 11, 2017·Journal of Environmental Management·Michal BílJiří Sedoník

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Citations

Jun 14, 2020·Animals : an Open Access Journal From MDPI·Sayantani M BasakElzbieta Widera
Jul 12, 2020·Environmental Science and Pollution Research International·S Divya Meena, Agilandeeswari Loganathan
Aug 26, 2020·Journal of Environmental Management·Michal Bíl, Richard Andrášik
Aug 10, 2020·Journal of Environmental Management·Andrius Kučas, Linas Balčiauskas
Oct 7, 2021·International Journal of Injury Control and Safety Promotion·Eskindir Ayele AtumoXinguo Jiang

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