The aim of this study is to develop a model for the evaluation of the vulnerability of infrastructures to forest fires in Wildland-Urban Interfaces (WUI). The model, developed using GIS, permits the exposition of the different grades of infrastructure vulnerability through the use of dedicated maps, and the analysis of factors which are most significant in determining a specific level of vulnerability. The factors introduced in the model are: types of vegetation, historical number of fire incidents, slope, and operational difficulties relative to fire suppression. A Multi-Criteria Analysis technique (Analytic Hierarchy Process - AHP) was used to compare the data, and fuzzy logic functions were adopted in an attempt to reduce errors. The AHP was based on interviews with experts (operative room managers, firebosses, researchers). The final product was a pixel map classifying five levels of risk which may prove useful to decision makers in planning prevention action and in establishing priorities.

A methodology for the assessment of infrastructure vulnerability to forest fires in wildland-urban interfaces

Bonora L;
2014

Abstract

The aim of this study is to develop a model for the evaluation of the vulnerability of infrastructures to forest fires in Wildland-Urban Interfaces (WUI). The model, developed using GIS, permits the exposition of the different grades of infrastructure vulnerability through the use of dedicated maps, and the analysis of factors which are most significant in determining a specific level of vulnerability. The factors introduced in the model are: types of vegetation, historical number of fire incidents, slope, and operational difficulties relative to fire suppression. A Multi-Criteria Analysis technique (Analytic Hierarchy Process - AHP) was used to compare the data, and fuzzy logic functions were adopted in an attempt to reduce errors. The AHP was based on interviews with experts (operative room managers, firebosses, researchers). The final product was a pixel map classifying five levels of risk which may prove useful to decision makers in planning prevention action and in establishing priorities.
2014
Istituto di Biometeorologia - IBIMET - Sede Firenze
Forest fires
wildland urban interface
multi-criteria decision analysis
analytic hierarchy process
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/254745
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact