Summary
A novel decision support system for flood risk reduction policies, tested in Vicenza, Italy, demonstrates how structured data-driven approaches can guide policy makers through a five-phase process—inform, advise, monitor, evaluate, and revise—to create evidence-based strategies. Unlike traditional methods relying on intuition, this multifaceted platform integrates environmental, social, and economic data to assess flood protection measures effectively. The study highlights the system's potential benefits while also identifying challenges for public administrations in implementing such tools, offering a practical framework for addressing climate change impacts through informed decision-making.
Citation
Pantalona, G., Tsalakanidou, F., Nikolopoulos, S., Kompatsiaris, I., Lombardo, F., Norbiato, D., Ferri, M., Kovats, L., & Haberstock, H. (2021). Decision support system for flood risk reduction policies: The case of a flood protection measure in the area of Vicenza. Data & Policy, 3. https://doi.org/10.1017/dap.2021.23