Identification of Local Factors Causing Clustering of Animal-Vehicle Collisions on Roads

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F18%3AN0000034" target="_blank" >RIV/44994575:_____/18:N0000034 - isvavai.cz</a>
Result on the web
<a href="https://wildlife.onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.21467" target="_blank" >https://wildlife.onlinelibrary.wiley.com/doi/epdf/10.1002/jwmg.21467</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jwmg.21467" target="_blank" >10.1002/jwmg.21467</a>

Result language
angličtina
Original language name
Identification of Local Factors Causing Clustering of Animal-Vehicle Collisions on Roads
Original language description
Effective measures reducing risk of animal-vehicle collisions (AVC) require defining high-risk locations on roads where AVCs occur. Previous studies examined factors explaining locations of individua l AVCs; however, some AVCs can form hotspots (i.e., clusters of AVCs) that can be explained by local factors. We therefore applied a novel kernel density estimation (KDE) method to AVCs for the Czech Republic from October 2006 to December 2011 to identify AVCs hotspots along roads. Our main goal was to identify local factors and their effect on the non-random (clustered) occurrenc e of AVCs. The remaining solitary AVCs occurred randomly and are likely induced by other human factors on the global scale. The hotspot identification method followed by the selected data mining methods (KDE þ methods) identified factors causing local clustering of AVCs. Distance from forest ( < 350 m) or linear vegetation were important factors for estimating presence of clusters of AVCs; in open areas, AVC clusters were absent. Further research on effectiveness of measures reducing risk of AVC should focus on clusters of AVCs, not on the individua l AVC. We recommend that state transportati on agencies focus mitigation actions in forested areas.
Czech name
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Czech description
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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
10511 - Environmental sciences (social aspects to be 5.7)

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)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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