Roadside vegetation influences clustering of ungulate vehicle collisions

作者: Z. Keken , J. Sedoník , T. Kušta , R. Andrášik , M Bíl

DOI: 10.1016/J.TRD.2019.07.013

关键词:

摘要: Abstract The aim of this study was to identify landscape-related factors which could explain the concentration traffic crashes with large ungulates in a forest environment. We worked ungulate-vehicle collisions took place on Czech road network period 2014–2016 using application Srazenazver.cz. With KDE+ method, we chose most significant hotspots linkage forest. For comparison randomly selected control localities outside (i.e., very low level collisions) but still area. A set photos were taken at each hotspot and locality (2 orthophotos 4 driver views). Each images then visually analysed by two independent evaluators. They did not know for localities. From point view overall score, it cannot be said that these groups locations differ (p-value 0.3575, Kolmogorov-Smirnov test). only attribute demonstrated difference between “attractiveness (quality food source cover) immediate vicinity transport infrastructure ungulates” 0.0016, Results confirm importance landscape management surroundings infrastructure, especially its vicinity. However, they possibility dangerous from UVC identified basis composition state vegetation around infrastructure.

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