Spatial decision making for improvement of the resilience of the historic areas: SHELTER DSS

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dc.contributor.authorVillanueva-Merino, Asel
dc.contributor.authorLópez-de-Aguileta-Benito, Amaia
dc.contributor.authorIzkara Martínez, José Luis
dc.contributor.authorEgusquiza, Aitziber
dc.date.accessioned2024-11-22T10:19:57Z
dc.date.available2024-11-22T10:19:57Z
dc.date.issued2024
dc.date.updated2024-11-22T10:19:57Z
dc.descriptionPonencia 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.es
dc.description.abstractOne 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.en
dc.description.sponsorshipThe work presented in this paper has been partially supported by the European Union’s Horizon 2020 research and innovation programme under the SHELTER and RescueME projects (Grant Agreement Numbers 821282 and 101094978)en
dc.identifier.citationVillanueva-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_35
dc.identifier.doi10.1007/978-3-031-54118-6_35
dc.identifier.eissn2366-2565
dc.identifier.isbn9783031541179
dc.identifier.issn2366-2557
dc.identifier.urihttp://hdl.handle.net/20.500.14454/2090
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.rights© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
dc.subject.otherDecision Support System
dc.subject.otherGeographic Information Systems
dc.subject.otherHistoric Area
dc.subject.otherResilience
dc.subject.otherRisk
dc.subject.otherSimulation
dc.titleSpatial decision making for improvement of the resilience of the historic areas: SHELTER DSSen
dc.typeconference paper
dcterms.accessRightsmetadata only access
oaire.citation.endPage395
oaire.citation.startPage384
oaire.citation.titleLecture Notes in Civil Engineering
oaire.citation.volume467 LNCE
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