Identification of local factors causing clustering of animal vehicle collisions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F18%3A00102612" target="_blank" >RIV/00216224:14310/18:00102612 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/jwmg.21467" target="_blank" >http://dx.doi.org/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>
Alternative languages
Result language
angličtina
Original language name
Identification of local factors causing clustering of animal vehicle collisions
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 individual 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) occurrence 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 methods) identified factors causing local clustering of AVCs.
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
10600 - Biological sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Wildlife Management
ISSN
0022-541X
e-ISSN
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Volume of the periodical
82
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
940-947
UT code for WoS article
000435816100008
EID of the result in the Scopus database
2-s2.0-85048989701