Development of a new tool for seismic risk assessment and multi-criteria decision making

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Título: Development of a new tool for seismic risk assessment and multi-criteria decision making
Autor/es: Huang, Chen | Molina-Palacios, Sergio | Meslem, Abdelghani
Grupo/s de investigación o GITE: Grupo de Ingeniería y Riesgo Sísmico (GIRS)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Física Aplicada
Palabras clave: Decision support | Seismic risk assessment | Seismic hazard assessment | Multi-criteria decision-making | Earthquake disaster management
Fecha de publicación: 9-ene-2024
Editor: Elsevier
Cita bibliográfica: International Journal of Disaster Risk Reduction. 2024, 106: 104261. https://doi.org/10.1016/j.ijdrr.2024.104261
Resumen: The present paper introduces a new risk-informed based tool that can support disaster management authorities in making decisions in response to earthquakes at local and regional scales by using estimated physical and socio-economic losses. The risk-informed based tool is building upon existing risk assessment methods, and multi-criteria decision-making (MCDM) methodology. The integrated risk assessment methods are adapted from the earthquake loss estimation tool SELENA. The integrated MCDM methodology, allowing selection of optimal mitigation measures by taking into account the priorities and preferences of disaster management authorities, was developed within the EU Horizon 2020 TURNkey project [1]. The new tool presented in this study also allows easy integration and incorporation of existing database and models that can be openly available. The tool is characterized with user-friendly interface and flexible format of the input and output data, that can be easily understood by different actors in disaster risk management.
Patrocinador/es: This research is funded by the European Union's Horizon 2020 research and innovation program, specifically grant agreement number 821046: TURNkey “Towards more Earthquake-resilient Urban Societies through a Multi-sensor-based Information System enabling Earthquake Forecasting, Early Warning and Rapid Response actions.”
URI: http://hdl.handle.net/10045/139767
ISSN: 2212-4209
DOI: 10.1016/j.ijdrr.2024.104261
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2024 Elsevier Ltd.
Revisión científica: si
Versión del editor: https://doi.org/10.1016/j.ijdrr.2024.104261
Aparece en las colecciones:INV - GIRS - Artículos de Revistas
Investigaciones financiadas por la UE

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