Historical villages in the Mediterranean area are increasingly threatened by depopulation and abandonment due to their fragile structures. Their preservation is particularly challenging in areas subject to natural disasters, which can have irreversible effects on people and buildings. To mitigate such risks, the assessment of buildings’ vulnerability (i.e., their proneness to suffering damage due to a given phenomenon) at large scale through rapid procedures becomes essential. The results can be interpreted by means of thematic maps, so that conscious measures of interventions for conserving the cultural values of historical centers can be designed. In this paper, the use of the Geographic Information Systems (GIS) to organize large amount of data collected through the CARTIS (Italian acronym for “typological and structural characterization of buildings”) multi-level screening form is presented. This procedure was extensively applied to three historic settlements in FriuliVenezia Giulia region (northeast Italy), i.e., Spilimbergo, Tolmezzo, and Montereale Valcellina, for a total of more than 6500 residential buildings, featuring traditional brick and stone masonry and timber diaphragms, as well as modern concrete-based interventions. Starting from the typological framework, one of the possible implementations of risk analyses to support territorial bodies in the management of existing buildings at urban scale was carried out. In particular, a vulnerability assessment procedure based on the macroseismic model was applied to estimate vulnerability and damage scenarios of masonry buildings in seismic prone areas. The reliability of the predictive damage scenario was also updated in the light of the transformations that urban centers and their environment undergo after an earthquake occurs. Finally, the implementation of mechanical models on buildings that emerge from the prioritization analyses contributed to the identification of fragility curves for the suitable design of intervention measures.
Contribution to Preservation Plans of Masonry Buildings at Urban Scale from GIS-Supported Typological Analyses
Valluzzi, Maria Rosa
2026
Abstract
Historical villages in the Mediterranean area are increasingly threatened by depopulation and abandonment due to their fragile structures. Their preservation is particularly challenging in areas subject to natural disasters, which can have irreversible effects on people and buildings. To mitigate such risks, the assessment of buildings’ vulnerability (i.e., their proneness to suffering damage due to a given phenomenon) at large scale through rapid procedures becomes essential. The results can be interpreted by means of thematic maps, so that conscious measures of interventions for conserving the cultural values of historical centers can be designed. In this paper, the use of the Geographic Information Systems (GIS) to organize large amount of data collected through the CARTIS (Italian acronym for “typological and structural characterization of buildings”) multi-level screening form is presented. This procedure was extensively applied to three historic settlements in FriuliVenezia Giulia region (northeast Italy), i.e., Spilimbergo, Tolmezzo, and Montereale Valcellina, for a total of more than 6500 residential buildings, featuring traditional brick and stone masonry and timber diaphragms, as well as modern concrete-based interventions. Starting from the typological framework, one of the possible implementations of risk analyses to support territorial bodies in the management of existing buildings at urban scale was carried out. In particular, a vulnerability assessment procedure based on the macroseismic model was applied to estimate vulnerability and damage scenarios of masonry buildings in seismic prone areas. The reliability of the predictive damage scenario was also updated in the light of the transformations that urban centers and their environment undergo after an earthquake occurs. Finally, the implementation of mechanical models on buildings that emerge from the prioritization analyses contributed to the identification of fragility curves for the suitable design of intervention measures.
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