Spatial Decision Making for Improvement of the Resilience of the Historic Areas: SHELTER DSS

Asel Villanueva-Merino*, Amaia López-de-Aguileta-Benito, Jose Luis Izkara, Aitziber Egusquiza

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationInnovation in Urban and Regional Planning - Proceedings of INPUT 2023 - Volume 1
EditorsAlessandro Marucci, Francesco Zullo, Lorena Fiorini, Lucia Saganeiti
PublisherSpringer Science and Business Media Deutschland GmbH
Pages384-395
Number of pages12
ISBN (Print)9783031541179
DOIs
Publication statusPublished - 2024
Event12th International Conference on Innovation in Urban and Regional Planning, INPUT 2023 - L'Aquila, Italy
Duration: 6 Sept 20238 Sept 2023

Publication series

NameLecture Notes in Civil Engineering
Volume467 LNCE
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference12th International Conference on Innovation in Urban and Regional Planning, INPUT 2023
Country/TerritoryItaly
CityL'Aquila
Period6/09/238/09/23

Keywords

  • Decision Support System
  • Geographic Information Systems
  • Historic Area
  • Resilience
  • Risk
  • Simulation

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