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A framework of evidence-based multi-hazard risk screening for disaster risk reduction and resilience planning7.48 MB
Published VersionCC BY-NC V4.0, Open Access
Journal article
A framework of evidence-based multi-hazard risk screening for disaster risk reduction and resilience planning
Geomatics, Natural Hazards and Risk, Vol.17(1), pp.1-19
2026
Abstract
Multi-hazard risk assessment is essential for informed decision-making in disaster risk reduction (DRR). However, conducting fine-scale disaster risk assessments for a large number of elements at risk remains challenging. This study proposes a bottom-up, evidence-based framework for multi-hazard risk screening. It develops a risk index system for individual elements at risk based on the UNDRR's disaster risk definition and statistically aggregates these indices to generate risk profiles at various administrative levels. The framework enables rapid identification of exposure, vulnerability, coping capacity, and risk hotspots, ranging from individual elements to entire administrative regions. By applying this approach, over 4,100 schools in Shanghai were assessed with data from the First National Comprehensive Natural Disaster Risk Census. Results indicate that 46.31% and 5.43% of schools exhibit medium-high to high exposure and vulnerability, respectively. Additionally, 13.12% and 11.43% face significant asset and overall risk, respectively. Moreover, 9.63% of schools have low to medium-low coping capacity. Hotspots were identified at the township and district levels, with the top 100 highest-risk schools, 10 most vulnerable townships, and 5 highest-risk districts highlighted. These findings provide a crucial foundation for risk-informed DRR and resilience planning, while also validating the proposed assessment framework.
Details
- Title
- A framework of evidence-based multi-hazard risk screening for disaster risk reduction and resilience planning
- Authors
- Zhongchao Shi - Shanghai Normal UniversityJianping Yan - Rodel Risk Solutions Inc (Canada)Li Li - Shanghai Normal UniversityBanggu Liao - Shanghai Normal UniversityTongfei Tian - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringJiahong Wen (Corresponding Author) - Shanghai Normal UniversityYuxi Chen (Corresponding Author) - Shanghai Emergency Management Bureau (China)
- Publication details
- Geomatics, Natural Hazards and Risk, Vol.17(1), pp.1-19
- Publisher
- Taylor & Francis
- Date published
- 2026
- DOI
- 10.1080/19475705.2025.2605119
- ISSN
- 1947-5713; 1947-5705
- Copyright note
- © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
- Data Availability
- The data that support the findings of this study are available from Jiahong Wen upon reasonable request.
- Grant note
- This work was supported by the National Natural Science Foundation of China (42171080), and Comprehensive Natural Disaster Risk Assessment and Zoning Project of Shanghai Emergency Management Bureau (11N72952099120221201).
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991196750702621
- Output Type
- Journal article
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