Srazenazver.cz: A system for evidence of animal-vehicle collisions along transportation networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F17%3AN0000014" target="_blank" >RIV/44994575:_____/17:N0000014 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S000632071730263X" target="_blank" >http://www.sciencedirect.com/science/article/pii/S000632071730263X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/https://doi.org/10.1016/j.biocon.2017.07.012" target="_blank" >https://doi.org/10.1016/j.biocon.2017.07.012</a>

Result language
angličtina
Original language name
Srazenazver.cz: A system for evidence of animal-vehicle collisions along transportation networks
Original language description
We present a system for state-wide evidence of animal-vehicle collisions (AVC). The primary part of this system is a geographic database which is connected to a web-map application. AVC data come from the Police via an online system of traffic incidents (JSDI) and from volunteers through a web or mobile interface. Data are processed using automatic scripts which identify data errors and perform spatial analyses. The application automatically computes AVC hotspots every midnight and crash densities along road sections. Hunter area administrators consequently have an overview of their areas. More than 40,000 records are currently included in this database. 50% of them were added over the last two years when it was launched. The majority of data (90%) came from JSDI. The species is known for 44% of JSDI records. The majority of the identified species were roe deer (75%), followed by wild boar (15%). Roe deer crashes occur most frequently in May within 2 h after sunset. 32.5% (56.4%) of these crashes occur within 1 h (2 h) before or after sunset or sunrise. For wild boar, the values are less distinctive (19.4% and 37.7%). Approximately 1800 AVC hotspots, which cover 0.5% of the Czech road network, were detected and visualized on a map.
Czech name
—
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
10508 - Physical geography

Project
<a href="/en/project/TD03000306" target="_blank" >TD03000306: BLACKSPOTS: Locations at Crossings between Green and Transportation Infrastructures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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