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Differences in the dynamics of community disaster resilience across the globe

The consideration of disaster resilience as a multidimensional concept provides a viable and promising way forward for reducing risk and minimizing impacts today and in the future. What is missing is the understanding of the actual dynamics of resilience over time based on empirical evidence. This e...

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Autores principales: Hochrainer-Stigler, Stefan, Velev, Stefan, Laurien, Finn, Campbell, Karen, Czajkowski, Jeffrey, Keating, Adriana, Mechler, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413441/
https://www.ncbi.nlm.nih.gov/pubmed/34475449
http://dx.doi.org/10.1038/s41598-021-96763-0
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author Hochrainer-Stigler, Stefan
Velev, Stefan
Laurien, Finn
Campbell, Karen
Czajkowski, Jeffrey
Keating, Adriana
Mechler, Reinhard
author_facet Hochrainer-Stigler, Stefan
Velev, Stefan
Laurien, Finn
Campbell, Karen
Czajkowski, Jeffrey
Keating, Adriana
Mechler, Reinhard
author_sort Hochrainer-Stigler, Stefan
collection PubMed
description The consideration of disaster resilience as a multidimensional concept provides a viable and promising way forward for reducing risk and minimizing impacts today and in the future. What is missing is the understanding of the actual dynamics of resilience over time based on empirical evidence. This empirical understanding requires a consistent measure of resilience. To that end, a Technical Resilience Grading Standard for community flood resilience, was applied in a longitudinal study from 2016 to 2018 in 68 communities across the globe. We analyse the dynamics of disaster resilience using an advanced boosted regression tree modelling framework. The main outcome of our analysis is twofold: first, we found empirical evidence that the dynamics of resilience build on a typology of communities and that different community clusters experience different dynamics; and second, the dynamics of resilience follows transitional behaviour rather than a linear or continuous process. These are empirical insights that can provide ways forward, theoretically as well as practically, in the understanding of resilience as well as in regard to effective policy guidance to enhance disaster resilience.
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spelling pubmed-84134412021-09-07 Differences in the dynamics of community disaster resilience across the globe Hochrainer-Stigler, Stefan Velev, Stefan Laurien, Finn Campbell, Karen Czajkowski, Jeffrey Keating, Adriana Mechler, Reinhard Sci Rep Article The consideration of disaster resilience as a multidimensional concept provides a viable and promising way forward for reducing risk and minimizing impacts today and in the future. What is missing is the understanding of the actual dynamics of resilience over time based on empirical evidence. This empirical understanding requires a consistent measure of resilience. To that end, a Technical Resilience Grading Standard for community flood resilience, was applied in a longitudinal study from 2016 to 2018 in 68 communities across the globe. We analyse the dynamics of disaster resilience using an advanced boosted regression tree modelling framework. The main outcome of our analysis is twofold: first, we found empirical evidence that the dynamics of resilience build on a typology of communities and that different community clusters experience different dynamics; and second, the dynamics of resilience follows transitional behaviour rather than a linear or continuous process. These are empirical insights that can provide ways forward, theoretically as well as practically, in the understanding of resilience as well as in regard to effective policy guidance to enhance disaster resilience. Nature Publishing Group UK 2021-09-02 /pmc/articles/PMC8413441/ /pubmed/34475449 http://dx.doi.org/10.1038/s41598-021-96763-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hochrainer-Stigler, Stefan
Velev, Stefan
Laurien, Finn
Campbell, Karen
Czajkowski, Jeffrey
Keating, Adriana
Mechler, Reinhard
Differences in the dynamics of community disaster resilience across the globe
title Differences in the dynamics of community disaster resilience across the globe
title_full Differences in the dynamics of community disaster resilience across the globe
title_fullStr Differences in the dynamics of community disaster resilience across the globe
title_full_unstemmed Differences in the dynamics of community disaster resilience across the globe
title_short Differences in the dynamics of community disaster resilience across the globe
title_sort differences in the dynamics of community disaster resilience across the globe
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413441/
https://www.ncbi.nlm.nih.gov/pubmed/34475449
http://dx.doi.org/10.1038/s41598-021-96763-0
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