Multi-attribute-based procedure for seismic risk scenario in a historical area

Multi-attribute-based procedure for seismic risk scenario in a historical area | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Multi-attribute-based procedure for seismic risk scenario in a historical area Glenda Mascheri, Nicola Chieffo, P.B. Lourenço This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4449555/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Oct, 2024 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted 5 You are reading this latest preprint version Abstract Seismic events have shown to be exceedingly damaging to structures over time, with serious social and economic consequences. As a result, large-scale seismic risk assessments are essential for reducing the potential damage from future earthquakes. Therefore, the proposed study attempts to examine the vulnerability and risk of unreinforced masonry buildings (URM) placed in aggregate conditions in a historical area of the city centre of Lisbon. To this purpose, a comprehensive exposure model was developed combining satellite remote sensing, GIS software, and census data. Subsequently, seismic hazard was evaluated in the area, considering both Peak Ground Acceleration (PGA) and macro-seismic intensity for different return periods (i.e. 2-50-100-475-975-2500-5000 years). Vulnerability was assessed by introducing a novel approach to earthquake risk assessment using Multi-Criteria Decision-Making methodologies. Specifically, the method employs the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) computational methods to evaluate parameter weights and vulnerability index. Damage scenarios, fragility curves and mean damage ratios curves were provided to offer an overview of the vulnerability of the assets exposed to risk. Finally, the expected consequences were evaluated in terms of direct economic losses showing an economic loss of 595 M€ for a 475-years return period, while 1108 M€ for 5000-years. This study significantly enhances seismic risk analysis for urban areas by introducing a Multi-Criteria Approach. This method simplifies vulnerability assessment, ensuring ease of application and reproducibility. Its insights offer valuable support for disaster risk management decisions, facilitating the implementation of resilience and risk-reduction strategies. Seismic Vulnerability Index-based Methodology Risk Assessment Loss Estimation Multi-Criteria Analysis Full Text Cite Share Download PDF Status: Published Journal Publication published 28 Oct, 2024 Read the published version in Bulletin of Earthquake Engineering → Version 1 posted Editorial decision: Major Revisions Needed 14 Jul, 2024 Reviewers agreed at journal 23 May, 2024 Reviewers invited by journal 23 May, 2024 Editor assigned by journal 21 May, 2024 First submitted to journal 20 May, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4449555","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":305920070,"identity":"10823e6e-c71d-42e0-8292-8b61589a8e12","order_by":0,"name":"Glenda Mascheri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+ElEQVRIiWNgGAWjYBACNobEhsN//9nIMbDDhJiBgvi1JDc+4GFLMwaqRNUigVtTerMBD9uhxAZmhBB+LXzsiW0SEjwH0vubecwefPjDkLi2nffYgw8Md+pwOoznYZuEgcSd3BmHecwNZ7YxJG47zJduOIPhGU5b2CSAtiQYPMttOMxjJs3bANICZPAwHMav5UDC4XR5sMo/xGlpNmw4cDjBAKySjRgtPA8bHzM2pBluPMxWJjmzTcIYpEVyhsEzyQYcWuTb0x8cZmywkZc73rxN4sMfG9lt58+YSXyouMOPyxZ0AHOOwQFidSAAGVpGwSgYBaNguAIArINSu3XrbIYAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0002-0521-3761","institution":"University of Minho: Universidade do Minho","correspondingAuthor":true,"prefix":"","firstName":"Glenda","middleName":"","lastName":"Mascheri","suffix":""},{"id":305920071,"identity":"0024025e-faf5-4232-b467-fe66a5e9279f","order_by":1,"name":"Nicola Chieffo","email":"","orcid":"","institution":"University of Minho: Universidade do Minho","correspondingAuthor":false,"prefix":"","firstName":"Nicola","middleName":"","lastName":"Chieffo","suffix":""},{"id":305920072,"identity":"1835be3c-1420-4761-8009-e8f232addade","order_by":2,"name":"P.B. 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As a result, large-scale seismic risk assessments are essential for reducing the potential damage from future earthquakes. Therefore, the proposed study attempts to examine the vulnerability and risk of unreinforced masonry buildings (URM) placed in aggregate conditions in a historical area of the city centre of Lisbon. To this purpose, a comprehensive exposure model was developed combining satellite remote sensing, GIS software, and census data. Subsequently, seismic hazard was evaluated in the area, considering both Peak Ground Acceleration (PGA) and macro-seismic intensity for different return periods (i.e. 2-50-100-475-975-2500-5000 years). Vulnerability was assessed by introducing a novel approach to earthquake risk assessment using Multi-Criteria Decision-Making methodologies. 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