Promoting disaster preparedness and resilience by co-developing stakeholder support tools for managing the systemic risk of compounding disasters

HORIZON.2.3HORIZON-RIAID: 101073954
EC Contribution
€47,016
Consortium Size
19 orgs
Summary

The ongoing pandemic and climate crisis have taught us hard lessons about the systemic impact of compounding disasters. Stakeholders in disaster risk management are faced with the challenge to adapt their risk reduction policies and emergency plans but lack the tools to account for the cross-sectoral impacts and dynamic nature of the risks involved. The PARATUS project aims to fill this gap by developing an open-source platform for dynamic risk assessment that allows to analyse and evaluate multi-hazard impact chains, risk reduction measures, and disaster response scenarios in the light of systemic vulnerabilities and uncertainties. These services will be co-created within a unique transdisciplinary consortium of research organisations, NGOs, SMEs, first and second responders, and local and regional authorities. To gain a deeper understanding of multi-hazard impact chains, PARATUS will first conduct forensic analysis on historical disaster events, augment historical disaster databases with hazard interactions and sectorial impacts, and exploit remote sensing data with artificial intelligence methods. Building on these insights, PARATUS will then develop new exposure and vulnerability analysis methods that enable systemic risk assessment across sectors (e.g. humanitarian, transportation, communication) and geographic settings (e.g. islands, mountains, megacities). These methods will be used to analyse risk changes across space and time and to develop new scenarios and risk mitigation options together with stakeholders, using innovative serious games and social simulations. The results will be hosted on two stakeholder hubs related to crisis management and humanitarian relief, and provide stakeholders with a range of tools for risk reduction planning in dynamic multi-hazard environments. The service-oriented approach with active stakeholder involvement will maximise uptake and impact of the project, and help to increase Europe’s resilience to compounding disasters.

Consortium (19)

Project Results (28)

Source: CORDIS, the EU research results database.

Publications (13)
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida
Travel Behaviour and Society· 2025DOI
Yu Han, Wei Zhai, Pallab Mozumder, Cees van Westen, Changjie Chen
A multi-hazard framework integrating flood and landslide early warning systems: Application to the Tordera river basin (Catalonia, Spain)
Egusphere· 2024DOI
Kumar Yeditha, P., Hürlimann, M., Berenguer, M.
Drivers of Caribbean precipitation change due to global warming: analyses and emergent constraint of CMIP6 simulations
Climate Dynamics· 2024DOI
Brotons, M., Haarsma, R., Bloemendaal, N. et al.
Forensic insights into Gloria's storm multi-hazard damages in Catalonia.
Egusphere· 2024DOI
Pantaleoni, N., Hürlimann, M., Lantada, N
Report 2 of Workshops Application Case Studies
· 2024DOI
Funda Atun, Cees van Westen, Dinand Alkema, Iuliana Armas, Cosmina Albulescu, Silvia Cocuccioni, Till Wenzel, Philipp Marr, Seda Kundak, Caglar Goksu, Marcel Hurlimann, Serge Monturet, Joris Ranchin, Ahmet Atıl Asici, Kerem Yavuz Arslanlı, Duygu Kalkanlı,
A comparative impact chain analysis of 1999 Kocaeli and 2023 Kahramanmaraş earthquakes
Journal of Design for Resilience in Architecture and Planning· 2023DOI
Goksu, C., Kundak, S., Arslanlı, K. Y., Aşıcı, A. A., Kalkanlı, D., & Yılmaz, A.
A Novel Robust Meta-Model Framework for Predicting Crop Yield Probability Distributions Using Multisource Data
Cybernetics and Systems Analysis· 2023DOI
Ermolieva, T., Havlik, P., Derci Augustynczik, A.L., Boere, E., Frank, S., Kahil, T., Wang, G., Balkovič, J., et al
Connections between robust statistical estimation, robust decision making with two-stage stochastic optimization, and robust machine learning problems
Cybernetics and systems analysis· 2023DOI
Ermolieva, T., Ermoliev, Y., Havlik, P., Derci Augustynczik, A.L., Komendantova, N., Kahil, T., Balkovič, J., Skalský, R., et al.
Fastflood.org, an open-source super-fast flood model in the browser
· 2023DOI
van den Bout, B., Jetten, V., van Westen, C., and Lombardo, L
Linking Catastrophe Modeling and Stochastic Optimization Techniques for Integrated Catastrophe Risk Analysis and Management
· 2023DOI
Ermolieva, T., Ermoliev, Y., Komendantova, N., Norkin, V., Knopov, P., & Gorbachuk, V.
Report 1 of Workshops in Application Case Studies
· 2023DOI
Atun Funda; Ruxandra Mocanu; Iluiana Armas; Silvia Cocuccioni; Lotte Savelberg; Philipp Marr; Seda Kundak; Caglar Goksu; Till Wenzel; Dinand Alkema; Pauline Kruiver; Elske van Zeeuw de-Dalfsen
Report on participatory workshops in the four application case study sites, including impact chains diagrams for each analysed event
· 2023DOI
Cocuccioni, Silvia; Romagnoli, Federica; Pittore, Massimiliano; Ergün Konukçu, Betul; Kundak, Seda; Göksu, Çağlar; Aşıcı, Ahmet; Arslanlı, Kerem; Kalkanlı, Duygu; Pak, Ece Özden; Savelberg, Lotte; Kalubowila, Palindi; Armas, Iuliana; Danila, Dragos Toma; Osaci, Gabriela; Albulescu, Cosmina; Wenzel, Till; Marr, Philipp; Atun, Funda; Bockarjova, Marija; Witvliet, Ben
The web-based simulation and information service for multi-hazard impact chains. Design document
· 2023DOI
Van Westen, Cees; Naz, Iqra; Atun, Funda; Hassinger, Liv; van den Bout, Bastian; Flacke, Johannes; Manzella, Irene; Marr, Philipp; Agmon, Gal; Ottow, Bouke; Hurlimann, Marcel; Kuman, PAvan Yeditha; Cocuccioni, Silvia; Schollerer, Lea; Kulakowska, Michalina; Koelle, Bettina; Ermolieva, Tatiana; Twayana, Rabina
Deliverables (14)
Other Results (1)
Periodic Reporting for period 1 - PARATUS (Promoting disaster preparedness and resilience by co-developing stakeholder support tools for managing the systemic risk of compounding disasters)