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Roadside vegetation influences clustering of ungulate vehicle collisions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F19%3AN0000021" target="_blank" >RIV/44994575:_____/19:N0000021 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41320/19:80190 RIV/60460709:41330/19:80190

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S1361920918311659" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1361920918311659</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.trd.2019.07.013" target="_blank" >10.1016/j.trd.2019.07.013</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Roadside vegetation influences clustering of ungulate vehicle collisions

  • Original language description

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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Transportation Research Part D: Transport and Environment

  • ISSN

    1361-9209

  • e-ISSN

  • Volume of the periodical

    73

  • Issue of the periodical within the volume

    2019

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    381-390

  • UT code for WoS article

    999

  • EID of the result in the Scopus database