Modelling the probability of building fires

Authors

  • Vojtěch Barták Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic
  • Kateřina Gdulová Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic
  • Olga Špatenková Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic
  • Aleš Bárta Department of Land Use and Improvement, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic
  • Petra Šímová Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic

DOI:

https://doi.org/10.14311/gi.13.5

Keywords:

patial risk analysis, Integrated Rescue System, building fire probability

Abstract

Systematic spatial risk analysis plays a crucial role in preventing emergencies.In the Czech Republic, risk mapping is currently based on the risk accumulationprinciple, area vulnerability, and preparedness levels of Integrated Rescue Systemcomponents. Expert estimates are used to determine risk levels for individualhazard types, while statistical modelling based on data from actual incidents andtheir possible causes is not used. Our model study, conducted in cooperation withthe Fire Rescue Service of the Czech Republic as a model within the Liberec andHradec Králové regions, presents an analytical procedure leading to the creation ofbuilding fire probability maps based on recent incidents in the studied areas andon building parameters. In order to estimate the probability of building fires, aprediction model based on logistic regression was used. Probability of fire calculatedby means of model parameters and attributes of specific buildings can subsequentlybe visualized in probability maps.

Author Biographies

Vojtěch Barták, Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic

http://orcid.org/0000-0001-9887-1290

Olga Špatenková, Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic

http://orcid.org/0000-0003-2748-9857

Petra Šímová, Department of Applied Geoinformatics and Spatial Planning, aculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Praha 6 – Suchdol, Czech Republic

http://orcid.org/0000-0003-2480-1171

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Published

2014-12-21

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