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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10508 - Physical geography

Projekt

<a href="/cs/project/TD03000306" target="_blank" >TD03000306: BLACKSPOTS: Místa křížení zelené a dopravní infrastruktury</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Biological Conservation

ISSN

0006-3207

e-ISSN

—

Svazek periodika

213 A

Číslo periodika v rámci svazku

September

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

167-174

Kód UT WoS článku

000410014100019

EID výsledku v databázi Scopus

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