Pescaroli, G;
Kelman, I;
(2017)
How critical infrastructure orients international relief in cascading disasters.
Journal of Contingencies and Crisis Management
, 25
(2)
pp. 56-67.
10.1111/1468-5973.12118.
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Abstract
Critical infrastructure and facilities are central assets in modern societies, but their impact on international disaster relief remains mostly associated with logistics challenges. The emerging literature on cascading disasters suggests the need to integrate the non-linearity of events in the analyses. This article investigates three case studies: the 2002 floods in the Czech Republic, Hurricane Katrina in 2005, and the 2011 Tohoku earthquake, tsunami, and Fukushima meltdown in Japan. We explore how the failure of critical infrastructure can orient international disaster relief by shifting its priorities during the response. We argue that critical infrastructure can influence aid request and delivery, changing needs to address the cascades and contain cascading technology-based events. The conclusions propose remaining challenges with applying our findings.
| Type: | Article |
|---|---|
| Title: | How critical infrastructure orients international relief in cascading disasters |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/1468-5973.12118 |
| Publisher version: | http://dx.doi.org/10.1111/1468-5973.12118 |
| Language: | English |
| Additional information: | Copyright © 2016 The Authors. Journal of Contingencies and Crisis Management published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS 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 |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1492695 |
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