Pescaroli, Gianluca;
Guida, Kristen;
Reynolds, Jeremy;
Alexander, David;
(2022)
Managing systemic risk in emergency management, organizational resilience and climate change adaptation: a science-policy roadmap.
United Nations Office For Disaster Risk Reduction: Geneva, Switzerland.
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Abstract
In urban systems, major risks need to be managed by bringing together emergency management, organisational resilience and climate change adaptation. In this endeavour, policy making must make use of disaster science. This chapter applies the theory of cascading, interconnected and compound risk to the practice of preparing for, managing and responding to threats and hazards. This methodology is illustrated with an example from the United Kingdom, namely the work of the Greater London Authority and its partner organisations. London has long been a champion of resilience strategies for dealing with systemic risk. The chapter investigates the potential and limitations of this approach. There remains a need to identify common points of failure, especially where they relate to interconnected domains and where they are driven by climate change. Radical new thinking is required in order to ensure operational continuity in the face of growing systemic risk.
Type: | Report |
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Title: | Managing systemic risk in emergency management, organizational resilience and climate change adaptation: a science-policy roadmap |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.preventionweb.net/publication/managing... |
Language: | English |
Additional information: | This is an open access article under the Attribution 3.0 IGO (CC BY 3.0 IGO) license https://creativecommons.org/licenses/by/3.0/igo/ |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10151181 |
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