An Integrated Framework for Seismic Risk Assessment of Urban Infrastructure Using Building Inventory and Big Data Analytics

Urban areas located in seismically active regions require reliable approaches for evaluating the potential impact of earthquakes on the built environment.Rapid urbanization, high population density, and the gradual aging of building stock significantly increase the vulnerability of modern cities to seismic hazards.This study proposes an integrated framework for assessing seismic risk in urban infrastructure based on the combination of technical building inventory, structural vulnerability classification, and advanced digital analytical tools.The proposed methodology integrates geospatial analysis, simulation modeling, and Big Data analytics to process large volumes of structural and spatial information.The integration of engineering assessment methods with data-driven analysis allows for a more accurate identification of vulnerable buildings and high-risk urban zones.The results demonstrate that the application of integrated analytical techniques improves the reliability of seismic risk evaluation and supports informed decision-making in urban planning and disaster risk reduction.

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