Loughborough University
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Modelling the risks of extreme weather events for Australasian hospital infrastructure using rich picture diagrams

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journal contribution
posted on 2017-09-28, 16:03 authored by Martin Loosemore, Vivien ChowVivien Chow, Denny McGeorge
Anticipated increases in the frequency of extreme weather events in the future are likely to expose hospital infrastructure to new risks which are poorly understood. Traditional approaches to risk identification and analysis produce linear, narrow and static risk profiles which fail to consider complex sub-system interdependencies that may assist or hinder healthcare delivery during an extreme weather event. The ability to create resilient hospitals depends on new risk management methodologies which provide an understanding of these complex relationships. Focus groups with key stakeholders in three hospitals in Australia are used to construct rich picture diagrams (RPDs) of hospital infrastructure interdependencies under different extreme weather event scenarios. They show that the risks posed to hospitals by extreme weather events cannot be considered in isolation from the surrounding infrastructure, emergency management systems, health systems and communities in which they are imbedded. The new insights provided have major governance and policy implications for agencies responsible for ensuring that hospital infrastructure can continue to support the delivery of effective health services during extreme weather events.



  • Architecture, Building and Civil Engineering

Published in

Construction Management and Economics


1 - 16


LOOSEMORE, M., CHOW, V. and MCGEORGE, D., 2012. Modelling the risks of extreme weather events for Australasian hospital infrastructure using rich picture diagrams. Construction Management and Economics, 30 (12), pp.1071-1086.


© Taylor & Francis


  • SMUR (Submitted Manuscript Under Review)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date



This is a Submitted Manuscript of an article published by Taylor & Francis in 'Construction Management and Economics' on 05/10/2012, available online: http://dx.doi.org/10.1080/01446193.2012.725941.






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