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|Title:||Identifying the Importance of Disaster Resilience Dimensions across Different Countries Using the Delphi Method||Authors:||Rodriquez, Carlotta
Mendes, José Manuel
|Keywords:||Disaster resilience; Disaster risk; Sustainable development goals; Cluster analysis; Delphi method||Issue Date:||26-Jul-2022||Publisher:||MDPI||Project:||Ph.D. program Understanding and Managing Extremes—XXXII cycle, curriculum Risk and Emergency Management, of the Scuola Universitaria Superiore IUSS—Pavia
|Serial title, monograph or event:||Sustainability||Volume:||14||Issue:||15||Place of publication or event:||Basel||Abstract:||The article proposes a framework establishing a disaster resilience index applicable worldwide that accounts for differences between countries in terms of development and in terms of the relevance of several resilience dimensions. To achieve this index, countries were clustered using an indicator that reflected their performance according to the Sustainable Development Goals. For each cluster of countries, a Delphi process was used to obtain scores for every resilience dimension and sub-dimension that were then transformed into weights that varied from cluster to cluster to reflect differences in sustainable development. The article discusses the methodology that led to the quantification of the weights according to the Delphi process, as well as its results. The results highlighted the anticipated differences between different groups of countries, but also reflected cluster-specific features that should be accounted for when analyzing disaster resilience. The article also discusses different applications and possible improvements of the proposed framework based on comments collected during the Delphi process.||Description:||Supplementary Materials: The following are available online at https://www.mdpi.com/article/10.3390/su14159162/s1, Figure S1: Results of the internal cluster validity indices, S8: Survey used in the Delphi process, Table S1: Countries selected in the research, Table S2: Imputation of missing values: identification of the nearest neighbors, geographical meaningfulness, and availability of data, Table S3: Clusters of countries considering 3 clusters, Table S4: Clusters of countries considering 4 clusters, Table S5. Clusters of countries considering 5 clusters, Table S6: Clusters of countries considering 6 clusters, Table S7: First structure of the proposed DRI, Table S8: Average scores (sc) and normalized weights (w) of the Social sub-dimensions by cluster, Table S9: Average scores (sc) and normalized weights (w) of the Economic sub-dimensions by cluster, Table S10: Average scores (sc) and normalized weights (w) of the Environmental sub-dimensions by cluster, Table S11: Average scores (sc) and normalized weights (w) of the Habitat sub-dimensions by cluster, Table S12: Average scores (sc) and normalized weights (w) of the Infrastructure sub-dimensions by cluster, Table S13: Average scores (sc) and normalized weights (w) of the Institutional sub-dimensions by cluster.
Informed Consent Statement: Informed consent of the participants was waived according to a Statement from the Ethics Committee of the Centre for Social Studies (CE-CES).
|Appears in Collections:||I&D CES - Artigos em Revistas Internacionais|
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