- 1D.I.C.E.A. - Department of Civil, Building and Environmental Engineering, University of Naples Federico II, Italy
- 2DiARC - Department of Architecture, University of Naples Federico II, Italy
- 3D.S.S. - Department of Social Sciences, University of Naples Federico II, Italy
- 4D.I.M.E.C. - Department of Medical and Surgical Sciences, University of Bologna, Italy
- 5D.I.C.E.A. - Department of Civil and Environmental Engineering, University of Florence, Italy
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.
