Objective of this article is the formulation and the implementation of a decision‐making model for the optimal management of emergencies. It is based on the accurate definition of possible scenarios resulting from prediction and prevention strategies and explicitly takes into account the subjectivity of the judgments of preference. To this end, a multicriteria decision model, based on fuzzy logic, has been implemented in a user‐friendly geographical information system (GIS) platform so as to allow for the automation of choice processes between several alternatives for the spatial location of the investigated scenarios. In particular, we have analyzed the potentialities of the proposed approach in terms of seismic risk reduction, simplifying the decision process leading to the actions to be taken from directors and managers of coordination services. Due to the large number of variables involved in the decision process, it has been proposed a particularly flexible and streamlined method in which the damage scenarios, based on the vulnerability of the territory, have represented the input data to derive a vector of weights to be assigned to different decision alternatives. As an application of the proposed approach, the seismic damage scenario of a region of 400 km2, hit by the 2009 earthquake in L'Aquila (Italy), has been analyzed.

(2018). Multicriteria Fuzzy Analysis for a GIS-based Management of Earthquake Scenarios [journal article - articolo]. In COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING. Retrieved from http://hdl.handle.net/10446/157786

Multicriteria Fuzzy Analysis for a GIS-based Management of Earthquake Scenarios

D'Urso, Maria Grazia;
2018-01-01

Abstract

Objective of this article is the formulation and the implementation of a decision‐making model for the optimal management of emergencies. It is based on the accurate definition of possible scenarios resulting from prediction and prevention strategies and explicitly takes into account the subjectivity of the judgments of preference. To this end, a multicriteria decision model, based on fuzzy logic, has been implemented in a user‐friendly geographical information system (GIS) platform so as to allow for the automation of choice processes between several alternatives for the spatial location of the investigated scenarios. In particular, we have analyzed the potentialities of the proposed approach in terms of seismic risk reduction, simplifying the decision process leading to the actions to be taken from directors and managers of coordination services. Due to the large number of variables involved in the decision process, it has been proposed a particularly flexible and streamlined method in which the damage scenarios, based on the vulnerability of the territory, have represented the input data to derive a vector of weights to be assigned to different decision alternatives. As an application of the proposed approach, the seismic damage scenario of a region of 400 km2, hit by the 2009 earthquake in L'Aquila (Italy), has been analyzed.
articolo
2018
D'Urso, Maria Grazia; Masi, Daniele; Zuccaro, Giulio; De Gregorio, Daniela
(2018). Multicriteria Fuzzy Analysis for a GIS-based Management of Earthquake Scenarios [journal article - articolo]. In COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING. Retrieved from http://hdl.handle.net/10446/157786
File allegato/i alla scheda:
File Dimensione del file Formato  
D'Urso_et_al-2018-Computer-Aided_Civil_and_Infrastructure_Engineering.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 1.15 MB
Formato Adobe PDF
1.15 MB Adobe PDF   Visualizza/Apri
D'UrsoMG3-2-16.pdf

Open Access dal 05/12/2018

Descrizione: This is the peer reviewed version of the following article: Multicriteria Fuzzy Analysis for a GIS-Based Management of Earthquake Scenarios which has been published in final form at 10.1111/mice.12335 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions
Versione: postprint - versione referata/accettata senza referaggio
Licenza: Creative commons
Dimensione del file 1.12 MB
Formato Adobe PDF
1.12 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/157786
Citazioni
  • Scopus 21
  • ???jsp.display-item.citation.isi??? 17
social impact