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Social Resilience and Critical Infrastructure Systems
Resilience analysis and thinking serve as emerging conceptual frameworks relevant for applications assessing risk. Connections between the domains of resilience and risk assessment include vulnerability. Infrastructure, social, economic, and ecological systems (and combined social-ecological systems...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122633/ http://dx.doi.org/10.1007/978-94-024-1123-2_9 |
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author | Trump, Benjamin D. Poinsatte-Jones, Kelsey Elran, Meir Allen, Craig Srdjevic, Bojan Merad, Myriam Vasovic, Dejan M. Palma-Oliveira, José Manuel |
author_facet | Trump, Benjamin D. Poinsatte-Jones, Kelsey Elran, Meir Allen, Craig Srdjevic, Bojan Merad, Myriam Vasovic, Dejan M. Palma-Oliveira, José Manuel |
author_sort | Trump, Benjamin D. |
collection | PubMed |
description | Resilience analysis and thinking serve as emerging conceptual frameworks relevant for applications assessing risk. Connections between the domains of resilience and risk assessment include vulnerability. Infrastructure, social, economic, and ecological systems (and combined social-ecological systems) are vulnerable to exogenous global change, and other disturbances, both natural and anthropologically derived. Resilience analysis fundamentally seeks to provide the groundwork for a ‘soft landing’, or an efficient and robust restoration following disturbance as well as the ability to reduce harms while helping the targeted system rebound to full functionality as quickly and efficiently where possible. Such applications are consistent with The National Academy of Sciences (NAS) definition of resilience, which more broadly denotes the field as “the ability to plan and prepare for, absorb, recover from, and adapt to adverse events” (Larkin S, Fox-Lent C, Eisenberg DA, Trump BD, Wallace S, Chadderton C, Linkov I (2015) Benchmarking agency and organizational practices in resilience decision making. Environ Sys Decisions 35(2):185–195). Given this definition, we seek to describe how resilience analysis and resilience thinking might be applied to social considerations for critical infrastructure systems. Specifically, we indicate how resilience might better coordinate societal elements of such infrastructure to identify, mitigate, and efficiently recover from systemic shocks and stresses that threaten system performance and service capacity. |
format | Online Article Text |
id | pubmed-7122633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71226332020-04-06 Social Resilience and Critical Infrastructure Systems Trump, Benjamin D. Poinsatte-Jones, Kelsey Elran, Meir Allen, Craig Srdjevic, Bojan Merad, Myriam Vasovic, Dejan M. Palma-Oliveira, José Manuel Resilience and Risk Article Resilience analysis and thinking serve as emerging conceptual frameworks relevant for applications assessing risk. Connections between the domains of resilience and risk assessment include vulnerability. Infrastructure, social, economic, and ecological systems (and combined social-ecological systems) are vulnerable to exogenous global change, and other disturbances, both natural and anthropologically derived. Resilience analysis fundamentally seeks to provide the groundwork for a ‘soft landing’, or an efficient and robust restoration following disturbance as well as the ability to reduce harms while helping the targeted system rebound to full functionality as quickly and efficiently where possible. Such applications are consistent with The National Academy of Sciences (NAS) definition of resilience, which more broadly denotes the field as “the ability to plan and prepare for, absorb, recover from, and adapt to adverse events” (Larkin S, Fox-Lent C, Eisenberg DA, Trump BD, Wallace S, Chadderton C, Linkov I (2015) Benchmarking agency and organizational practices in resilience decision making. Environ Sys Decisions 35(2):185–195). Given this definition, we seek to describe how resilience analysis and resilience thinking might be applied to social considerations for critical infrastructure systems. Specifically, we indicate how resilience might better coordinate societal elements of such infrastructure to identify, mitigate, and efficiently recover from systemic shocks and stresses that threaten system performance and service capacity. 2017-04-25 /pmc/articles/PMC7122633/ http://dx.doi.org/10.1007/978-94-024-1123-2_9 Text en © Springer Science+Business Media B.V. 2017 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Trump, Benjamin D. Poinsatte-Jones, Kelsey Elran, Meir Allen, Craig Srdjevic, Bojan Merad, Myriam Vasovic, Dejan M. Palma-Oliveira, José Manuel Social Resilience and Critical Infrastructure Systems |
title | Social Resilience and Critical Infrastructure Systems |
title_full | Social Resilience and Critical Infrastructure Systems |
title_fullStr | Social Resilience and Critical Infrastructure Systems |
title_full_unstemmed | Social Resilience and Critical Infrastructure Systems |
title_short | Social Resilience and Critical Infrastructure Systems |
title_sort | social resilience and critical infrastructure systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122633/ http://dx.doi.org/10.1007/978-94-024-1123-2_9 |
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