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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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
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