PICO
This session provides a forum for research that integrates citizens' and stakeholders’ knowledge in risk analysis and governance. We aim to collect recent scientific advances in the multifaceted societal contributions to climate vulnerability, exposure, and risk assessment and reduction. We are particularly interested in research that bridges participatory methods with risk assessment and policy development, including crowdsourcing risk information, volunteered geographic information, citizen and participatory science, and the integration of local and non-academic knowledge in scientific investigations. Additionally, we welcome other relevant applications of participatory research and policymaking in disaster risk assessment and reduction, and climate adaptation.
We call for experiences in citizen-centred and science-based research and policy, bringing evidence on:
- Transdisciplinary approaches and integrative methods in vulnerability and risk analysis, disaster risk reduction, and climate adaptation that combine knowledge from both academic and non-academic stakeholders.
- Innovative methods and data sources that leverage citizen and stakeholder knowledge into risk frameworks, including mixed methods research and non-academic knowledge integration with remote sensing, climate models, simulations, machine learning, and similar technologies.
- The interaction between societal dynamics and natural hazards, including the influence of urban development on the occurrence and impact of single and multiple natural hazards.
- Case studies and lessons learned that demonstrate the active involvement of citizens and other stakeholders in the design or the implementation of risk assessment frameworks, risk mitigation strategies, and governance actions.
PICO: Wed, 30 Apr | PICO spot 3
The Canary Islands constitute a volcanically active region, where the volcanic risk has significantly increased over the past 50 years due to higher population densities and the growing socio-economic exposure to volcanic hazards. Understanding the perception of volcanic hazards and risks among different societal groups—such as communication professionals, tourists, urban planners, and the general public—is essential for developing effective volcanic risk reduction strategies. While some groups hold specific roles in this endeavor, tourists represent a significant floating population that can meaningfully contribute to volcanic risk management. In 2023, the island of Tenerife welcomed approximately 6.5 million tourists, marking a 10% increase compared to the previous year. For 2024, it is estimated that the number of visitors reached 7.18 million, further solidifying Tenerife as the leading tourist destination in the Canary Islands.
This study explores tourists' awareness, understanding, and interest regarding volcanoes and volcanic risk management in Tenerife Island. It also examines their potential and preferred roles in enhancing the effectiveness of volcanic risk reduction efforts. To achieve these objectives, a face-to-face questionnaire was designed comprising approximately 30 questions, completed in 10–15 minutes. Around 20% of the questions focused on demographic information, 40% addressed knowledge of volcanic phenomena and risk management, and the remaining 40% assessed tourists' perceptions of volcanic hazards and risks. The survey was conducted in two phases: between July and September 2023 (419 respondents) and September 2024 (323 respondents), resulting in a total sample of 742 tourists.
Preliminary results reveal that the majority of participants were not aware of the difference between volcanic hazards and risks. Tourists visiting the Canary Islands expressed both a need and demand for more knowledge and information on volcanic risk management. By the end of the questionnaire, many participants reported increased interest in volcanic hazards and risks compared to their initial responses. Furthermore, tourists recognize the importance of their involvement in volcanic risk management and indicated they would feel safer if provided with more education and information on the subject.
The findings of this research will contribute to tailoring communication strategies and risk reduction measures, ensuring tourists are informed and empowered to play an active role in managing volcanic risks on Tenerife Island and beyond.
How to cite: Rodríguez-Pérez, C., Castellà, J., Goodness Stella, M. D., Alonso, A., García-Hernández, R., Pérez, N. M., Solana, C., and Rodríguez, F.: Tourists' understanding of volcanic hazards and risks in Tenerife , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15762, https://doi.org/10.5194/egusphere-egu25-15762, 2025.
This study explores scientists’ perceptions regarding climate change narratives on social media and investigates how these perceptions can inform policy development, particularly in the context of public engagement and co-production for climate change adaptation. Through a survey of forty climate change scientists, we analyzed the agreement with various climate change-related statements from social media, focusing on the impact of demographic factors such as education, age, and self-perceived expertise. The findings reveal significant differences in agreement with policy and science-based narratives between younger and older scientists, as well as between those with different educational backgrounds. Younger scientists were more likely to question anthropogenic climate change, while older scientists demonstrated higher agreement with science and policy narratives. Additionally, scientists with greater self-reported expertise were more supportive of policies addressing climate change and more critical of misinformation and conspiracy theories.
The research results provide valuable guidance for designing targeted communication strategies that leverage the expertise of the scientific community. The study also highlights the role of scientists in shaping public engagement and co-production in climate change adaptation policies, emphasizing the potential for public-private partnerships to address misinformation and improve public trust in climate science. Our results highlight that effective policy instruments, such as regulations, financial incentives, and data-sharing platforms, can benefit from incorporating scientists’ views on the credibility of climate change narratives, ultimately fostering stronger citizen engagement in climate adaptation efforts.
How to cite: Yosipof, A., Elroy, O., and Komendantova, N.: Implications of Scientists’ Perceptions of Climate Change Narratives for Public Engagement , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4082, https://doi.org/10.5194/egusphere-egu25-4082, 2025.
Flooding is the most severe natural disaster, impacting millions of people globally. Governments and institutions must prioritize flood risk management as land use changes, urbanization, and climate change increase the frequency of floods. Flood early warning systems (FEWS) are critical in mitigating flood effects on local communities. In theory and practice, an effective FEWS is widely acknowledged to value the involvement of various actors and institutions and adopts a people-centered approach, particularly at the local level, where vulnerable populations are often concentrated. However, current research on actor and institutional involvement in FEWS implementation at the local level is fragmented, suggesting the need for more comprehensive and geographically representative studies. Learning from the various case studies worldwide is a better way to paint a holistic picture of the actor and institutional involvement in L-FEWS. While L-FEWS is critical for addressing the immediate needs of local people, comprehensive insights on actor and institutional involvements are imperative to track common challenges and inform best practices for enhancing future social implementation of EWS worldwide. To bridge this gap, we review the existing literature and critically assess the extent of actor and institutional involvement in local FEWS (L-FEWS) implementation across all four components of early warning systems. The study employs deductive and inductive content analysis to analyze 158 peer-reviewed articles and gray literature, exploring the status of social actor involvement in L-FEWS implementation. Additionally, the review examines the extent of regulatory and policy instruments guiding social actor responsibilities over time. We then synthesize the typologies and trends to present an evolutionary framework of actor and institutional involvement across the four components of L-FEWS operations. The findings from this global review will yield key insights to enhance the effectiveness of the social implementation of L-FEWS. The study’s results will also inform future research and policy efforts toward developing inclusive mechanisms for flood risk management.
Keywords: Floods, early warning systems, local, social actors, institutions, frameworks, involvement, trends, evolution.
How to cite: Dacosta Aboagye, P., Shinichiro, N., Anh, C., Watanabe, M., and Petraroli, I.: A review of typologies, trends, and evolution of actor and institutional involvement in implementing local flood early warning systems (L-FEWS). , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4682, https://doi.org/10.5194/egusphere-egu25-4682, 2025.
>This study focuses on the compound disaster phenomena affecting city-regional industrial development in the Wuxi River Basin under the impact of extreme climate events. It examines the formation and characteristics of “therapeutic resilience” mechanisms, including the cascading effects of different disaster types and the adaptation strategies of local governments. Issues such as the socio-economic vulnerabilities of local governments and communities in disaster-stricken areas—faced with conflicts over land use due to landslides, typhoons, floods, earthquakes, and water resource management—are key topics of interest. The research framework and method are grounded in the concept of “social capital,” with a focus on observing community network relationships. The study aims to construct a discourse framework for “therapeutic resilience” by conducting in-depth interviews and field investigations with stakeholders in affected industries and settlements. For instance, the geological fragility in the upper reaches of the Wu River Basin increases risks of landslides and debris flows, while urbanization and industrial development in the midstream and downstream areas lead to heightened risks of flooding and water pollution. The study also addresses regional disaster prevention strategies and community resilience initiatives across different towns in the basin. The research contributes to understanding the impacts of climate change by interpreting the relationships between various disaster types, regional “land use planning,” and industrial development. It clarifies the mechanisms of environmental hazards and land use changes within urban and regional areas, emphasizing the critical role of “therapeutic resilience” in post-disaster recovery.
How to cite: Hung, C.-T., Shih, D.-S., and Liu, C.-F.: The rising of city-regional therapeutic resilience mechanisms in river basins impacted by climate change and their compounding disasters: A case study of the Wuxi river basin in central Taiwan, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2108, https://doi.org/10.5194/egusphere-egu25-2108, 2025.
This study focuses on the impact of flooding under climate change scenarios on the evacuation safety of social welfare institutions in the Sanchong District of New Taipei City, Taiwan, aiming to provide effective disaster planning recommendations. By developing the urban inundation and drainage model NTU-2DFIM, which integrates rainfall-runoff processes in catchment areas, one-dimensional hydraulic modeling of riverine and stormwater drainage systems, and two-dimensional surface inundation modeling, this study simulates flood risks under the IPCC AR6 RCP8.5 climate change scenario. After calibration and validation, the model is applied to assess the evacuation risks and needs of various types of social welfare institutions, including long-term care facilities, public childcare centers, infant care centers, and special needs development centers, under extreme climate conditions.
Furthermore, based on disaster evacuation zones, the study identifies nearby accessible shelters, collects and analyzes disaster preparedness plans from individual institutions, and evaluates their adequacy in addressing emergency needs. It examines whether some social welfare institutions facing high flood risks and being excluded from the 500-meter and 1,000-meter evacuation zones could pose evacuation challenges for vulnerable populations. In addition to quantitative risk analysis, participatory methods are employed to involve public sector personnel, social welfare institution staff, and other stakeholders in jointly assessing risks and developing appropriate evacuation strategies.
Based on the findings and insights gained from participatory methods, this study proposes institution-specific evacuation recommendations, including optimal evacuation routes and accessible shelter locations. By integrating hydrological modeling, risk assessment, and participatory strategy development, this research provides precise and actionable disaster preparedness recommendations. It offers valuable insights for urban disaster management strategies under climate change scenarios, aiming to enhance urban resilience and safeguard vulnerable populations.
How to cite: Ke, K. Y., Chang, H. K., Li, C. L., Lin, Y. J., and Cheng, Y. F.: Flood Risk and Evacuation Strategies for Social Welfare Institutions under Climate Change : A Case Study in New Taipei City, Taiwan., EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-2132, https://doi.org/10.5194/egusphere-egu25-2132, 2025.
Extreme climate events driven by global warming have had severe impacts worldwide, particularly in high-risk disaster areas, posing significant challenges to local societies and environments. To address these challenges, this study utilizes climate change hazard scenario data combined with local disaster characteristics to assist local governments in developing disaster preparedness and resilience strategies, thereby strengthening the capacity of Yilan County, Taiwan, to respond to and adapt to climate change.
This research conducts a literature review and in-depth interviews to explore three main aspects: (1) Local Hazard Assessment: By inventorying the historical disasters in Yilan County, this study identifies hazard-prone areas and collects data on resilience-based disaster management and related response plans to provide comprehensive disaster preparedness documentation; (2) Integration of Disaster Intelligence: By combining central and local technological research and development, the study delves into the relationship between disaster intelligence and response measures, expanding disaster mitigation capabilities using Yilan County's disaster intelligence network and resilience assessment module to reduce disaster impacts; (3) Risk Application and Promotion: Based on climate change risk mapping and recommendations from an expert advisory committee, this research constructs operational methods for resilient cities, enhancing local disaster resilience through demonstration and promotional activities to minimize disaster impacts.
This study proposes short-term and medium-to-long-term adaptation strategies for high-risk areas in Yilan County, contributing to resilient city development and offering a reference for similar regions. It actively engages local stakeholders, including government officials, disaster management teams, and resilient community disaster prevention organizations, through interviews and workshops to co-create tailored disaster response strategies. This approach ensures the strategies are practical and aligned with regional policies.
Keywords: Extreme Disasters, Resilient Cities, Resilience-Based Disaster Management, Localized Adaptation, Disaster Intelligence
1 Professor, Dept.of Urban Planning and Disaster Management, Ming Chuan University. 5 De Ming Rd., Gui Shan District, Taoyuan City 33348, Taiwan, ROC. Tel: +886-(0)3-3507001 ext.5048. E-mail: bigbear@mail.mcu.edu.tw
2 Ph.D. student, Dept.of Urban Planning and Disaster Management, Ming Chuan University. 5 De Ming Rd., Gui Shan District, Taoyuan City 33348, Taiwan, ROC. Tel: +886-(0)988-321854. E-mail: ewa886@gmail.com
How to cite: Chuang, M.-H. and Liu, C.-F.: Enhancing Resilient Cities under Extreme Disasters due to Climate Change: A Case Study of Yilan County, Taiwan, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-6473, https://doi.org/10.5194/egusphere-egu25-6473, 2025.
With the increasing frequency of extreme weather events, natural disasters pose growing challenges to the operations of local governments. Kinmen County, given its unique geographic location, requires enhanced disaster response capabilities to ensure regional stability and the safety of its residents. This study analyzes the operational continuity strategies of the Kinmen County Government following disaster events. It emphasizes that disaster prevention and response operations encompass not only immediate relief efforts but also critical administrative functions that must continue during disasters to maintain overall governmental operations. The goal is to provide a concrete framework for analyzing these critical tasks and to enhance the resilience of local government functions.
The analysis methodology adopted in this study includes a review of relevant literature, data analysis, and expert interviews. Additionally, the study references the Japanese Cabinet Office's guidelines on disaster response for local governments. It classifies and prioritizes 467 tasks managed by 16 departments and 73 units of the Kinmen County Government. These tasks are categorized into three main types: response, recovery, and general operations. They are further divided into short-term (within 3 hours to 1 day), mid-term (3 days to 2 weeks), and long-term (more than 2 weeks) action plans based on their scope of impact and urgency. The findings indicate that response and recovery operations must take precedence over general operations, and that cross-departmental coordination is essential to ensure the smooth execution of critical tasks during disasters.
This study establishes a preliminary framework for analyzing disaster prevention and response operations in Kinmen County. It provides a basis for classifying and prioritizing tasks during disaster response, helping to improve the government's ability to manage immediate relief efforts while maintaining critical administrative functions. Future recommendations include integrating inter-county collaboration mechanisms and public-private partnership models to comprehensively enhance the disaster prevention and response system.
How to cite: Ma, K.-C. and Chen, S.-C.: Priority Analysis of Disaster Management Issues : A Case Study of Kinmen County, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-7846, https://doi.org/10.5194/egusphere-egu25-7846, 2025.
Extreme natural events, including earthquakes, tsunamis and floods, can significantly impact communities, causing physical damages, casualties and socio-economic disruptions. In order to mitigate or reduce disaster risk, it is paramount to identify the exposed assets prone to different hazards, and their characteristics. Exposure assessment consists in collecting the characteristics of population and tangible and intangible assets, including, but not limited to, buildings and infrastructure. However, exposure is often developed based on the available data (e.g. population and building census), and does not account for local and expert knowledge held by societal stakeholders. To reduce disaster risk, it is therefore of utmost importance to engage diverse stakeholders so that they can contribute with their expertise. This work discusses three different methods that involve a wide range of stakeholders in participatory activities and leverage exposure-related knowledge: semi-structured interviews, crowdsourcing and citizen science and capacity development workshops. Each method allows collecting different data types using specific tools, such as semi-structured interviews, questionnaires and interactive web interfaces, to collect exposure-related information, which can be adapted to the specific context. Practitioners, academics, policymakers and emergency managers were involved in exposure development activities at a national and regional scale. Residents, civil protection officers and school students contributed to identifying dominant building typologies collecting information on single buildings. The described methods allow gathering expert and local knowledge held by societal stakeholders, which is often missing in existing exposure datasets (e.g. building census, land use maps). These methods can accommodate different building features relevant for specific hazards (e.g. shape regularity) and be extended to other exposed assets (e.g. infrastructure). Context-dependent storylines were also developed for selected areas prone to floods and coastal hazards, based on the historical, geological and geographical evidence, and presented to societal stakeholders during dissemination activities. Through storylines, we highlight the temporary evolution of exposure identifying potential adaptation and mitigation strategies. We discuss how a wide range of societal stakeholders can contribute to exposure development if enabled in structured, tailored participatory approaches. For each method we identified challenges and opportunities of interacting with societal stakeholders for disaster risk reduction purposes. We also envisage the benefits of integrating the described methods towards a collaborative stakeholder interaction framework for exposure development. This research is a contribution to the project PRIN-PNRR project SMILE: Statistical Machine Learning for Exposure development, funded by the European Union- Next Generation EU, Mission 4 Component 1 (CUP F53D23010780001).
How to cite: Scaini, C., Petrovic, B., Scaini, A., Barnaba, C., and Peresan, A.: Engaging diverse stakeholders: practical participatory tools for exposure data collection, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9198, https://doi.org/10.5194/egusphere-egu25-9198, 2025.
“Why do we continually seem one disaster behind?”
Words pronounced by the US House of Representatives in 2006 after the terrible passage of Katrina hurricane still resonate today. Wherever we look, natural and man-made disasters are raging and the emergency response fatigues in keeping the pace with their evolution.
Yet, valuable resources have been sharpened in the emergencies management and preparedness fields to face disasters. Among these, emergency planning has been one of the most powerful whose strength is also witnessed by the enormous number of agencies, institutions, and societies that have adopted it as a valuable tool. The Italian Red Cross is one of them; its rooted presence in the national civil protection system underlines the relevance of this actor in the disaster emergency response to disasters and promote the need to create internal procedures and plans to enhance the effectiveness of its actions.
In this context, this contribution presents the results of a joint project between the Italian Red Cross and Politecnico di Milano to develop a comprehensive planning methodology, that takes into account the specific functions and needs of the association. Specifically, the main purpose of the project has been the creation of a comprehensive yet easy-to-implement methodology to support the Italian Red Cross local committees in creating simple, operational and effective emergency plans through a step-by-step approach.
Having as main reference the planning methodology developed in the European project “PPRD3 East”, this new methodology has been developed applying a learning-by-doing approach. In particular, the flood emergency plan of a local committee in the province of Como (Italy) has been designed. The engagement of all the relevant stakeholders, and in particular Red Cross volunteers, allowed the development of a participatory process that led to the creation of a valuable and replicable tool for the local committees. The lessons learnt from this experience have been translated into the national guidelines of the Italian Red Cross on emergency planning.
How to cite: De Vito, F., Benati, A., Massucchielli, L., and Molinari, D.: A new methodology for emergency planning in the humanitarian field, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-17125, https://doi.org/10.5194/egusphere-egu25-17125, 2025.
This poster demonstrates the Risk-Tandem framework, a methodology guiding the implementation of knowledge co-production in risk governance contexts. Currently applied and refined within the DIRECTED project, it guides and enables the integration of disaster risk management and climate change adaptation through the transdisciplinary co-production of locally led risk governance methodologies and approaches.
The Framework seeks to promote collaboration across disciplines and scales of governance to 1) support the integration of climate change considerations into disaster risk management practice; 2) improve the interoperability and usability of risk information through the co-production of information products (between users and modellers), and; 3) improve collaboration between practitioners, academics, risk modellers and the public through capacity development and engagement, to enable the co-creation of risk governance solutions that bridge science and contextual needs in a Real-World Lab (RWL) setting.
The poster will detail the framework’s conceptual and theoretical underpinning, its current refinement and redevelopment through DIRECTED’s RWLs, and the approach to capacity development for co-production. It will also explore the risk governance “solutions” and approaches already co-created with local stakeholders, to demonstrate how the process has responded to needs of the project’s implementation contexts.
How to cite: Parviainen, J., Hochrainer-Stigler, S., Cumiskey, L., Bharwani, S., Schweizer, P.-J., Hofbauer, B., and Cubie, D.: Risk-Tandem: A Novel Framework for Combining Risk Governance and Knowledge Co-production for integrating disaster risk management, climate change adaptation and local knowledges. , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18546, https://doi.org/10.5194/egusphere-egu25-18546, 2025.
Risk communication, risk perception, and community behaviour are foundations to any successful disaster risk reduction strategy. The impacts of climate change are becoming increasingly frequent, and communities need to be informed at all levels about how to respond and to adapt to climate-related risks. All components of a community – Authorities, scientists, stakeholders and citizens – should be involved in the adaptation and response processes, which can be achieved through various methods. A systematic review following the PRISMA statement was conducted to explore methods of stakeholder involvement and consultation, tools, and consultation channels. The different approaches may be influenced by the community composition, the timeframes, and the consideration of the most effective ways of involvement and communication.
This study is part of a broader research effort within the national project REFOCUSING - “Fostering climate change adaptation of local communities through a participatory risk communication strategy”, funded by the Italian Ministry of University and Research (PRIN 2022) which aims to identify the strength and weakness of current risk communication strategies in two Italian Municipalities areas. In particular, one of the objectives of the project is focussed on designing and implementing participatory processes involving key stakeholders. The participatory consultation process is intended to strengthen the interaction between citizens and Authorities, facilitating the exchange of information on the impact of climate change.
The objective of the systematic review aligns with some specific project goals:
- To assess stakeholders’ perception of climate-related risk;
- To identify the strengths and weaknesses of current disaster communication processes;
- To initiate participatory processes involving citizens in the pursuit of climate change adaptation.
A total of 302 scientific articles and examples of public participation were collected, focusing on floods, landslides, coastal erosion, and geo-hydrological risks related to climate change. Workshops, public events, and surveys targeting specific individuals appear to be the most commonly applied and effective methods. As a result, semi-structured interviews are frequently chosen, both to obtain meaningful responses, to explore the best shared solutions across all levels and categories of the community, and to allow for flexibility in adapting the discussions. The more localised the hazards, the greater the involvement of local stakeholders; whereas for hazards or issues with broader impacts, the intervention of regional or national levels becomes almost essential. The general tendency is to allocate economic resources and personnel in alignment with existing capabilities.
The final goal of the research project is to apply the knowledge gained in the study areas and enhance the interaction and dialogue between citizens and decision-makers/legislators regarding the impacts of climate change and the adaptation strategies.
How to cite: Marchetti, N., Gioia, E., Dell'Anna, F., Coscarelli, R., Antronico, L., Carone, M. T., and Marincioni, F.: Methodological approaches for stakeholder and citizens consultation on geo-hydrological risk: a systematic review, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8677, https://doi.org/10.5194/egusphere-egu25-8677, 2025.
Effective multi-risk management requires a thorough understanding of the context to design strategies that mitigate the impacts of external hazards on physical and human systems. However, the effectiveness of policies in areas affected by catastrophic events can usually only be evaluated after the event.
This study, conducted within the PNRR RETURN Extended Partnership (multi-Risk sciEnce for resilienT commUnities undeR a changiNg climate), presents an inductive methodology for developing indicators to ex-ante assess the effectiveness of multi-risk management practices. The methodology identifies promising indicators from the priorities of five international frameworks addressing Disaster Risk Reduction (DRR). These frameworks serve as references for defining good practices in urban and metropolitan environments.
The indicators were developed through collaboration between experts from Spoke 5 - TS1 “Urban and Metropolitan Settlements” and Spoke 3 - VS3 “Earthquakes and Volcanoes.” A total of 132 indicators were identified, grouped into nine thematic criteria, and classified based on their applicability, measurability, and alignment with the stages of the Sendai Framework for DRR. These indicators enable the classification of existing practices by type, scale, and field of application.
To define a “Good Practice”, it is essential to identify a core set of indicators, or essentials, that must be strictly adhered to. To achieve this, the methodology incorporates a multidisciplinary approach where project experts assign a relevance scale to the 132 indicators based on their expertise. These relevance scales are weighted using multi-criteria decision analysis (MCDA), employing the Simos card-ranking method to elicit preferences and establish priorities.
The results of this process will be applied in two key areas: Spoke 5 - TS1for developing a ‘Repository of Good Practices for Multi-Risk Management in Urban and Metropolitan Environments’ and Spoke 3 - VS3 for Organising heterogeneous geospatial data (topographic, environmental, social, economic) in a GIS environment to support MCDA for comparing resilience scenarios.
By integrating the core indicators with quantitative indicators derived from scenario-driven impact models, the project will inform the design of multi-objective intervention strategies to enhance resilience.
How to cite: Vitiello, V., Bosone, M., Tedeschi, A., Romano, M., Zaccaria, A. M., Castelluccio, R., De Toro, P., Leone, M., Negri, E., Terenzi, G., Rapicano, A., Fraiese, M., and Galasso, P.: Classifying and assessing good practices for urban and metropolitan risk management: a methodological and evaluation framework, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-21774, https://doi.org/10.5194/egusphere-egu25-21774, 2025.
