Social vulnerability triage: a dynamic scenario-based system for disaster planning and response

Kati Orru, Sten Hansson and Kristi Nero

Journal of Risk Research, 2025, vol. 28, issue 6, 549-570

Abstract: Disaster response planners face a difficult task: not only do they need to foresee a multitude of complex future hazard scenarios, but they also make critical decisions concerning what kind of assistance should be provided to various vulnerable groups, how quickly, and in what order. To complement existing risk and vulnerability assessment methods, we developed a dynamic social vulnerability triage system that supports such evidence-based decision-making. The novel software solution can be used to first systematically map the intersecting sources of hazard in a real or future hazard scenario, including the direct impact of the hazardous event (e.g. flood, wildfire, terrorist attack), disruptions of vital services and support structures, and communication barriers that hamper accessing or understanding risk and crisis information. Subsequently, based on this mapping of the hazard situation, the system guides the user through identifying vulnerable groups and assessing the nature and urgency of the assistance they may need. The triage results support more effective disaster risk mitigation, preparedness, communication and response planning, and help to ensure more fair and efficient resource use in crisis response.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13669877.2025.2522660 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jriskr:v:28:y:2025:i:6:p:549-570

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RJRR20

DOI: 10.1080/13669877.2025.2522660

Access Statistics for this article

Journal of Risk Research is currently edited by Bryan MacGregor

More articles in Journal of Risk Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().