2022
DOI: 10.3390/buildings12050523
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GIS Multisource Data for the Seismic Vulnerability Assessment of Buildings at the Urban Scale

Abstract: The paper presents a methodology of extraction, integration and elaboration of data from different sources using the geographic information system (GIS), to realize a georeferenced building database (GBD) useful for the seismic vulnerability assessment of existing buildings on a large scale. Three levels of GIS entities have been defined and equipped with the related information: census section (CS), urban block (UB), and individual building (IB), depending on the level of detail of dataset. Additional informa… Show more

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Cited by 29 publications
(17 citation statements)
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References 68 publications
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“…Future developments will have to promote research activities aimed at validating the quality of CARTIS data in vulnerability and risk analysis and expanding the database, so that it can be considered representative of Italian municipalities by demographic class and altimetric area. In addition, to make the CARTIS database more usable and shareable, it will be necessary to implement simplified data extraction procedures (Leggieri et al, 2022;Sandoli et al, 2022).…”
Section: Conclusion and Further Developmentsmentioning
confidence: 99%
“…Future developments will have to promote research activities aimed at validating the quality of CARTIS data in vulnerability and risk analysis and expanding the database, so that it can be considered representative of Italian municipalities by demographic class and altimetric area. In addition, to make the CARTIS database more usable and shareable, it will be necessary to implement simplified data extraction procedures (Leggieri et al, 2022;Sandoli et al, 2022).…”
Section: Conclusion and Further Developmentsmentioning
confidence: 99%
“…According to, [21][22][23][24][25][26] the CARTIS model developed was organised into four levels of information (from Section 0 to Section 3) that enable: (i) acquire data about the major characteristics of the investigated urban sector; (ii) archive the relevant data of the prevailing building typologies; (iii) collect the information about the geometric and mechanical characteristics of the surveyed buildings; and (iv) outline the possible structural and non-structural elements of the inspected buildings. In the specific case study, the urban area is divided into three small compartments (C0i), namely C01, the historic centre, C02, the first expansion zone, and C03, the second expansion zone.…”
Section: Identification Of Prevalent Structural Typologiesmentioning
confidence: 99%
“…A tal proposito, senz'altro la strada da perseguire per una migliore gestione dell'emergenza, è quella di una sempre maggiore integrazione tra strumenti schedografici e sistemi informativi territoriali, in cui è possibile, non solo archiviare e geo-localizzare, ma anche gestire e interrogare i dati raccolti dalle schede Leggieri, Mastrodonato & Uva, 2022).…”
Section: Verso Una Possibile Digitalizzazione Della Schedaunclassified