The KDE+ software: a tool for effective identification and ranking of animal-vehicle collision hotspots along networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F16%3AN0000076" target="_blank" >RIV/44994575:_____/16:N0000076 - isvavai.cz</a>

Result on the web

<a href="http://link.springer.com/article/10.1007/s10980-015-0265-6" target="_blank" >http://link.springer.com/article/10.1007/s10980-015-0265-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10980-015-0265-6" target="_blank" >10.1007/s10980-015-0265-6</a>

Result language

angličtina

Original language name

The KDE+ software: a tool for effective identification and ranking of animal-vehicle collision hotspots along networks

Original language description

Objective identification of locations on transportation networks, where animal-vehicle collisions (AVC) occur more frequently than expected (hotspots), is an important step for the effective application of mitigation measures.We introduce the KDE+ software which is a programmed version of the KDE+ method for effective identification of traffic accident hotspots. The software can be used in order to analyze animal-vehicle collision data. The KDE+ method is based on principles of Kernel Density Estimation (KDE). The symbol ‘+’ indicates that the method allows for the objective selection of significant clusters and for the ranking of the hotspots. It is also simultaneously applicable to an unlimited number of road segments. We applied the KDE+ method to the entire Czech road network. The hotspots were ranked according to their significance. The resulting hotspots represent a short overall road length which should require a more detailed assessment in the field. The 100 most important clusters of AVC represent, for example, only 19.7 km of the entire road network (37,469 km). We present an objective method for hotspots identification which can be used for AVC data. This method is unique because it determines the significance level of hotspots in an objective way. The prioritization of hotspots allows a transportation manager to effectively allocate resources to a feasible number of identified hotspots. We describe the software, data preparation and present the KDE+ application to AVC data.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JO - Land transport systems and equipment

OECD FORD branch

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Project

<a href="/en/project/ED2.1.00%2F03.0064" target="_blank" >ED2.1.00/03.0064: Transport R&D Centre</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Landscape Ecology

ISSN

0921-2973

e-ISSN

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Volume of the periodical

31

Issue of the periodical within the volume

2

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

7

Pages from-to

231–237

UT code for WoS article

000372318900003

EID of the result in the Scopus database

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