Identification of local factors causing clustering of animal-vehicle collisions
作者： Tomáš Bartonička , Richard Andrášik , Martin Duľa , Jiří Sedoník , Michal Bíl
DOI: 10.1002/JWMG.21467
关键词:
摘要: Effective measures reducing risk of animal vehicle collisions (AVC) require defining high locations on roads where AVCs occur. Previous studies examined factors explaining individual AVCs; however, some can form hotspots (i.e., clusters AVCs) that be explained by local factors. We therefore applied a novel kernel density estimation (KDE) method to for the Czech Republic from October 2006 December 2011 identify along roads. Our main goal was and their effect non random (clustered) occurrence AVCs. The remaining solitary occurred randomly are likely induced other human global scale. hotspot identification followed selected data mining methods (KDE methods) identified causing clustering
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