About: Modelling the probability of building fires

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	https://ojs.cvut.cz/ojs/index.php/gi/article/view/gi.13.5
Description	Systematic spatial risk analysis plays a crucial role in preventing emergencies. In the Czech Republic, risk mapping is currently based on the risk accumulation principle, area vulnerability, and preparedness levels of Integrated Rescue System components. Expert estimates are used to determine risk levels for individual hazard types, while statistical modelling based on data from actual incidents and their possible causes is not used. Our model study, conducted in cooperation with the Fire Rescue Service of the Czech Republic as a model within the Liberec and Hradec Králové regions, presents an analytical procedure leading to the creation of building fire probability maps based on recent incidents in the studied areas and on building parameters. In order to estimate the probability of building fires, a prediction model based on logistic regression was used. Probability of fire calculated by means of model parameters and attributes of specific buildings can subsequently be visualized in pr Systematic spatial risk analysis plays a crucial role in preventing emergencies. In the Czech Republic, risk mapping is currently based on the risk accumulation principle, area vulnerability, and preparedness levels of Integrated Rescue System components. Expert estimates are used to determine risk levels for individual hazard types, while statistical modelling based on data from actual incidents and their possible causes is not used. Our model study, conducted in cooperation with the Fire Rescue Service of the Czech Republic as a model within the Liberec and Hradec Králové regions, presents an analytical procedure leading to the creation of building fire probability maps based on recent incidents in the studied areas and on building parameters. In order to estimate the probability of building fires, a prediction model based on logistic regression was used. Probability of fire calculated by means of model parameters and attributes of specific buildings can subsequently be visualized in pr (en)
Title	Modelling the probability of building fires Modelling the probability of building fires (en)
skos:prefLabel	Modelling the probability of building fires Modelling the probability of building fires (en)
skos:notation	RIV/60460709:41330/14:65661!RIV15-MV0-41330___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(VG20122014102)
http://linked.open...iv/cisloPeriodika	13
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Bárta, Aleš Barták, Vojtěch Šímová, Petra Gdulová, Kateřina Špatenková, Olga
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Česká zemědělská univerzita v Praze / Fakulta životního prostředí
http://linked.open...dnocenehoVysledku	29934
http://linked.open...ai/riv/idVysledku	RIV/60460709:41330/14:65661
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	spatial risk analysis, Integrated Rescue System, building fire probability (en)
http://linked.open.../riv/klicoveSlovo	building fire probability spatial risk analysis Integrated Rescue System
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[F1C49819B7E9]
http://linked.open...i/riv/nazevZdroje	Geoinformatics FCE CTU.
http://linked.open...in/vavai/riv/obor	AQ
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Analytical Support for Risk Mapping
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	2014
http://linked.open...iv/tvurceVysledku	Gdulová, Kateřina Šímová, Petra Špatenková, Olga Barták, Vojtěch Bárta, Aleš
http://linked.open...ain/vavai/riv/wos	0
issn	1802-2669
number of pages	12 (xsd:int)
http://localhost/t...ganizacniJednotka	41330

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