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Prioritization of hazards for risk and resilience management through elicitation of expert judgement

Ioanna Ioannou (), Jaime E. Cadena (), Willy Aspinall (), David Lange (), Daniel Honfi () and Tiziana Rossetto ()
Additional contact information
Ioanna Ioannou: University College London, UCL
Jaime E. Cadena: University of Queensland
Willy Aspinall: University of Bristol
David Lange: University of Queensland
Daniel Honfi: Monitoring and Analyses of Existing Structures
Tiziana Rossetto: University College London, UCL

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 112, issue 3, No 37, 2773-2795

Abstract: Abstract Risk assessment in communities or regions typically relies on the determination of hazard scenarios and an evaluation of their impact on local systems and structures. One of the challenges of risk assessment for infrastructure operators is how to identify the most critical scenarios that are likely to represent unacceptable risks to such assets in a given time frame. This study develops a novel approach for prioritizing hazards for the risk assessment of infrastructure. Central to the proposed methodology is an expert elicitation technique termed paired comparison which is based on a formal mathematical technique for quantifying the range and variance in the judgements of a group of stakeholders. The methodology is applied here to identify and rank natural and operational hazard scenarios that could cause serious disruption or have disastrous effects to the infrastructure in the transnational Øresund region over a period of 5 years. The application highlighted substantial divergences of views among the stakeholders on identifying a single ‘most critical’ natural or operational hazard scenario. Despite these differences, it was possible to flag up certain cases as critical among the natural hazard scenarios, and others among the operational hazards.

Keywords: Paired comparison; Stakeholders; Natural hazards; Operational hazards (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-022-05287-x

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