Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-4341-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article: Physical vulnerability database for critical infrastructure hazard risk assessments – a systematic review and data collection
Sadhana Nirandjan
CORRESPONDING AUTHOR
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Elco E. Koks
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, United Kingdom
Mengqi Ye
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Raghav Pant
Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, United Kingdom
Kees C. H. Van Ginkel
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Inland Water Systems, Deltares, 2629 HV Delft, the Netherlands
Jeroen C. J. H. Aerts
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, 1081 HV Amsterdam, the Netherlands
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- A near-real-time adaptive framework for ground motion prediction using incremental gradient boosting J. He et al. https://doi.org/10.1016/j.asoc.2026.115790
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- Coordinated cross-system recovery framework for large-scale metro stations under extreme flooding H. Li et al. https://doi.org/10.1016/j.tust.2026.107733
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- Spatiotemporal patterns and predictive modeling of precipitation-induced railway disasters in China W. Zhan et al. https://doi.org/10.1007/s12665-026-13011-2
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- Coastal flood risk to European surface transport infrastructure at different global warming levels K. Nawarat et al. https://doi.org/10.1038/s41558-025-02510-y
- Leveraging Transformer Models for Seismic Fragility Assessment of Non-Engineered Masonry Structures in Malawi E. Harirchian & V. Novelli https://doi.org/10.3390/infrastructures10110279
- Pluvial flood risk management for urban distribution systems: Avoidance, reduction, transfer, and retention S. Sun et al. https://doi.org/10.1016/j.ijepes.2026.112017
- A multi-level framework for climate adaptation of critical infrastructure: flood risk in railway networks E. Peregrina Gonzalez et al. https://doi.org/10.1088/2634-4505/ae7fb5
- Use of fragility curves to assess the seismic vulnerability of soft rock tunnels: a review J. Sam https://doi.org/10.21595/jve.2025.24596
- Evaluation of Extreme Sea Level Flooding Risk to Buildings in Samoa R. Paulik et al. https://doi.org/10.3390/jmse13112143
- Differentiated impacts of climate physical risks on the Indian power sector A. Jindal et al. https://doi.org/10.1016/j.isci.2026.115697
- Qualitative Modelling of Failure Scenarios for Long Linear Transport Infrastructures in Mountain Areas T. Michez et al. https://doi.org/10.3390/infrastructures11020071
- Evaluating impact-based forecasting models for tropical cyclone anticipatory action S. Sedhain et al. https://doi.org/10.1016/j.ijdrr.2025.105782
- A near-real-time adaptive framework for ground motion prediction using incremental gradient boosting J. He et al. https://doi.org/10.1016/j.asoc.2026.115790
- Natural Hazard Assessment Technology Framework C. Xu et al. https://doi.org/10.3724/BNSFC-2025-0036
- Multi-hazard risk assessment and management: pathways for the Sendai Framework and beyond T. Tiggeloven et al. https://doi.org/10.5194/gc-9-185-2026
- Multi-Hazard Risk Assessment of Critical Infrastructure Using Pan-European Open Datasets: A Unified Framework Applied to Schools Under Flood, Earthquake, and Landslide Hazards S. Fotopoulou et al. https://doi.org/10.3390/su18136871
- Multi-decade analysis of flood risks to community infrastructure in Philadelphia Y. Son et al. https://doi.org/10.1016/j.ijdrr.2025.105825
- A probabilistic modeling and simulation framework for power grid flood risk assessment P. Asaridis et al. https://doi.org/10.1016/j.ijdrr.2025.105353
- Development of a seismic life cycle cost framework for buried pipelines S. Alavi & M. Mashayekhi https://doi.org/10.1016/j.ress.2025.111874
- Coordinated cross-system recovery framework for large-scale metro stations under extreme flooding H. Li et al. https://doi.org/10.1016/j.tust.2026.107733
- Bridge Risk Index for Freight Corridor Resilience: A Non-Parametric Machine Learning and Threat Modeling Approach R. Bridgelall https://doi.org/10.3390/infrastructures10100264
- A multiplex network-based framework to assess interdependent infrastructure asset criticality and priority under natural hazard scenarios G. Chatzistefanou et al. https://doi.org/10.1016/j.ijdrr.2026.106319
- Systems-level risks of the climate crisis are currently missed: A mental health lens M. Mikaelsson et al. https://doi.org/10.1371/journal.pclm.0000722
- Climate-proofing cities: a focus on vulnerability indices C. Gargiulo & C. Guida https://doi.org/10.1080/13563475.2026.2620774
- Spatiotemporal patterns and predictive modeling of precipitation-induced railway disasters in China W. Zhan et al. https://doi.org/10.1007/s12665-026-13011-2
- Criticality, resilience and prioritization of components in interdependent infrastructure systems: An overview of definitions and quantitative modelling approaches G. Chatzistefanou et al. https://doi.org/10.1016/j.rcns.2026.02.003
- Stress-testing road network resilience using counterfactual flood events (1953–2024) in Great Britain Y. Li et al. https://doi.org/10.1016/j.trd.2026.105292
Saved (final revised paper)
Latest update: 01 Aug 2026
Short summary
Critical infrastructures (CIs) are exposed to natural hazards, which may result in significant damage and burden society. Vulnerability is a key determinant for reducing these risks, yet crucial information is scattered in the literature. Our study reviews over 1510 fragility and vulnerability curves for CI assets, creating a unique publicly available physical vulnerability database that can be directly used for hazard risk assessments, including floods, earthquakes, windstorms, and landslides.
Critical infrastructures (CIs) are exposed to natural hazards, which may result in significant...
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