This volume collects the results of the multidisciplinary research project funded by the PRIN 2022 grant, “SMUH – Safeguard of Modern Urban Heritage: across-disciplinary webGIS for knowledge, monitoring and risk analysis”, presented at the conference held on December 16th, 2025, at the University of Rome Tor Vergata. The research aims to develop, test, and share a multidisciplinary method for safeguarding the built heritage in urban areas of the twentieth-century city. This method is based on a combination of a historical-technical ramework derived from extensive documentary research, large-scale structural vulnerability assessments, and satellite radar interferometry techniques for measuring surface displacement phenomena. To support analysis and dissemination, the research relied on the construction of a customized webGIS platform, featuring three-dimensional representations and governed by conceptual models of informational data. The method was tested on exemplary case studies within the twentieth-century districts of Verona: this area, overlooking the Adige River, presents a diverse range of building typologies and construction techniques, as well as complex environmental conditions. Alongside the research results, the book gathers a collection of further case studies to test the scalability, disciplinary potential, and future research trajectories opened by the application of this method.

Giannetti, I., Bertolazzi, A., Miano, A., Bonano, M., Berto, L. (a cura di). (2026). Safeguard of modern urban heritage: a cross-disciplinary research for knowledge, monitoring, and risk analysis. Milano : Franco Angeli.

Safeguard of modern urban heritage: a cross-disciplinary research for knowledge, monitoring, and risk analysis

Giannetti, I;
2026-01-01

Abstract

This volume collects the results of the multidisciplinary research project funded by the PRIN 2022 grant, “SMUH – Safeguard of Modern Urban Heritage: across-disciplinary webGIS for knowledge, monitoring and risk analysis”, presented at the conference held on December 16th, 2025, at the University of Rome Tor Vergata. The research aims to develop, test, and share a multidisciplinary method for safeguarding the built heritage in urban areas of the twentieth-century city. This method is based on a combination of a historical-technical ramework derived from extensive documentary research, large-scale structural vulnerability assessments, and satellite radar interferometry techniques for measuring surface displacement phenomena. To support analysis and dissemination, the research relied on the construction of a customized webGIS platform, featuring three-dimensional representations and governed by conceptual models of informational data. The method was tested on exemplary case studies within the twentieth-century districts of Verona: this area, overlooking the Adige River, presents a diverse range of building typologies and construction techniques, as well as complex environmental conditions. Alongside the research results, the book gathers a collection of further case studies to test the scalability, disciplinary potential, and future research trajectories opened by the application of this method.
2026
Settore ICAR/10
Settore ICAR/09
Settore CEAR-08/A - Architettura tecnica
Settore CEAR-07/A - Tecnica delle costruzioni
English
Rilevanza internazionale
Il volume colleziona gli esiti della ricerca multidisciplinare "Safeguard of Modern Urban Heritage: across-disciplinary webGIS for knowledge, monitoring and risk analysis" (PRIN 2022). Volume con doppia revisione tra pari. Il volume è Open-Access: https://www.francoangeli.it/libro?id=30529
https://www.francoangeli.it/libro?id=30529
Curatele
Giannetti, I; Bertolazzi, A; Miano, A; Bonano, M; Berto, L
Giannetti, I., Bertolazzi, A., Miano, A., Bonano, M., Berto, L. (a cura di). (2026). Safeguard of modern urban heritage: a cross-disciplinary research for knowledge, monitoring, and risk analysis. Milano : Franco Angeli.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/452084
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