An overdue alignment of risk and resilience? A conceptual contribution to community resilience

Dados Bibliográficos

ID3897696
AutoresJunko Mochizuki (0000-0003-1000-4251, Research Scholar at the Risk and Resilience Program International Institute for Applied Systems Analysis Austria), Adriana Keating (0000-0002-4016-067X, Research Scholar at the Risk and Resilience Program International Institute for Applied Systems Analysis Austria), Wei Liu (0000-0002-5949-0302, Research Scholar at the Risk and Resilience Program International Institute for Applied Systems Analysis Austria), Stefan Hochrainer‐stigler (0000-0002-9929-8171, Senior Research Scholar at the Risk and Resilience Program International Institute for Applied Systems Analysis Austria), Reinhard Mechler (0000-0003-2239-1578, Deputy Program Leader at the Risk and Resilience Program International Institute for Applied Systems Analysis Austria)
Ano2018
Volume42
Fascículo2
Páginas361-391
Data de publicação2018-04-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoDisasters (JOURNAL)
Identificadores do periódicoISSN: 0361-3666 • E-ISSN: 1467-7717
EditoraWiley (PUBLISHER • GB)
DOI10.1111/disa.12239
PMID28682497
OpenAlexW2732687132
IdiomaEN
Citações recebidas29
Referências citadas86

A systematic review of literature on community resilience measurement published between 2005 and 2014 revealed that the profound lack of clarity on risk and resilience is one of the main reasons why confusion about terms such as adaptive capacity, resilience, and vulnerability persists, despite the effort spared to operationalise these concepts. Resilience is measured in isolation in some cases, where a shock is perceived to arise external to the system of interest. Problematically, this contradicts the way in which the climate change and disaster communities perceive risk as manifesting itself endogenously as a function of exposure, hazard, and vulnerability. The common conceptualisation of resilience as predominantly positive is problematic as well when, in reality, many undesirable properties of a system are resilient. Consequently, this paper presents an integrative framework that highlights the interactions between risk drivers and coping, adaptive, and transformative capacities, providing an improved conceptual basis for resilience measurement

Business · CLARITY · Community resilience · Computer security · Coping (psychology · Developmental psychology · Economics · Environmental resource management · Hazard · Resilience (materials science · Risk analysis (engineering · Transformative learning · Vulnerability (computing · Computer Science · Disaster Management and Resilience · Flood Risk Assessment and Management · Infrastructure Resilience and Vulnerability Analysis · Psychology · Ecology · Social Psychology