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Resist and recover: Introducing a spring theory for modeling disaster resilience.
Weiss, Robert; Zobel, Christopher W.
Afiliação
  • Weiss R; Academy of Integrated Science, Virginia Tech, Blacksburg, Virginia, USA.
  • Zobel CW; Department of Geosciences, Virginia Tech, Blacksburg, Virginia, USA.
Risk Anal ; 2024 Aug 06.
Article em En | MEDLINE | ID: mdl-39108138
ABSTRACT
This paper presents a new approach for quantitatively modeling the resilience of a system that has been disrupted by a sudden-impact event. It introduces a new theoretical model that explicitly incorporates representations of the enabling and inhibiting forces that are inherent within postdisruption recovery behavior. Based on a new, more comprehensive measure of resilience that is able to capture both negative and positive deviations in performance, a generic mass-spring system is then used to illustrate the applicability of the theoretical model. The interplay between the enabling and inhibiting forces that is revealed by the new model provides a new theoretical basis for understanding the complexity of resilience and disaster recovery. With the addition of the new resilience measure, it lends support for defining and characterizing a new type of resilient behavior unstable resilience.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Risk Anal Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Risk Anal Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos