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• W2950682008 abstract "In order to estimate the seismic vulnerability of a densely populated urban area, it would in principle be necessary to evaluate the dynamic behaviour of individual and aggregate buildings. These detailed seismic analyses, however, are extremely cost-intensive and require great processing time and expertise judgment. The aim of the present study is to propose a new methodology able to combine information and tools coming from different scientific fields in order to reproduce the effects of a seismic input in urban areas with known geological features and to estimate the entity of the damages caused on existing buildings. In particular, we present new software called ABES (Agent-Based Earthquake Simulator), based on a Self-Organized Criticality framework, which allows to evaluate the effects of a sequence of seismic events on a certain large urban area during a given interval of time. The integration of Geographic Information System (GIS) data sets, concerning both geological and urban information about the territory of Avola (Italy), allows performing a parametric study of these effects on a real context as a case study. The proposed new approach could be very useful in estimating the seismic vulnerability and defining planning strategies for seismic risk reduction in large urban areas" @default.
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• W2950682008 date "2019-01-11" @default.
• W2950682008 modified "2023-09-25" @default.
• W2950682008 title "A New Agent-Based Methodology for the Seismic Vulnerability Assessment of Urban Areas" @default.
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• W2950682008 doi "https://doi.org/10.48550/arxiv.1901.04335" @default.
• W2950682008 hasPublicationYear "2019" @default.
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