Villanueva-Merino, AselLópez-de-Aguileta-Benito, AmaiaIzkara Martínez, José LuisEgusquiza, Aitziber2024-11-222024-11-222024Villanueva-Merino, A., López-de-Aguileta-Benito, A., Izkara, J. L., & Egusquiza, A. (2024). Spatial Decision Making for Improvement of the Resilience of the Historic Areas: SHELTER DSS. Lecture Notes in Civil Engineering, 467 LNCE, 384-395. https://doi.org/10.1007/978-3-031-54118-6_3597830315411792366-255710.1007/978-3-031-54118-6_35http://hdl.handle.net/20.500.14454/2090Ponencia presentada en la 12th International Conference on Innovation in Urban and Regional Planning, INPUT 2023, celebrada en L'Aquila, Italia, entre el 6 y el 8 de septiembre de 2023.One of the challenges of Europe is how to adapt cultural heritage and historic areas to current climate change and natural disasters, these are causing irreversible losses on natural and historical heritage. The identification of the risk that heritage assets are suffering, and which are the best strategies or solutions to protect and conserve them is crucial. The article describes a decision support system that provides information in a GIS3D way, improving the analysis of the data and helps finding the best solutions for each heritage asset, working in an early-stage phase. The tool is divided in two components, on the one hand an interactive catalog of solutions, implementing multiple filters and multicriteria analysis methodology, making easier to find the solutions that better match each case. On the other hand, a risk assessment baseline visualization component that shows precalculated risk score for different hazards (Heat waves, wildfires, earthquakes, storms, flooding, and subsidence) in a table and in GIS 3D assets, and the same component allows the simulation of the impact of the solutions in the different capabilities of the assets. The tool allows saving the generated scenario for being loaded in the future. The components of the tool are flexible and can be used separately, accessing to visualization of solutions and their information, or making simulations.eng© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024Decision Support SystemGeographic Information SystemsHistoric AreaResilienceRiskSimulationconference paper2024-11-222366-2565