Development of a Comprehensive Urban Resilience Assessment Framework: The Intersection of Smart Buildings and Disaster Mitigation

Abstract

This study provides a systematic analysis into the application role of smart building technologies in enhancingin earthquake resilienceprone within cities. The seismic resilience is one of the vital issues which are improvingwith due to global climate changes, in terms of new plate tectonic parts inducing more disasters like earthquakes and destroying some built-up structuresthe increasing frequency of natural disasters such as earthquakes. Consequently, urban planning and disaster managementmitigation actions play a key role in reducingregression effects. By takingUsing Chengdu as an examplecase study, this study triesaims to establish an overall construct a comprehensive evaluation framework for smart building technologies in earthquake situations to evaluate the performance of smart building technologies during earthquakes and investigate the influence explore the impact of different technology portfolios combinations on urban resilience. This study adopts a quantitative approach, combining historical earthquake data and sophisticated advanced simulation models to simulate smart building dynamic responses in earthquakes as well as post-earthquake recovery the dynamic response and post-disaster recovery process of smart buildings during earthquakes. Through a multi-objective optimization model, the research further investigates the optimal technology combinations and configuration schemes under various budget constraints. The results show that smart building technologies, particularly the integration of monitoring and emergency response systems, significantly enhance urban resilience during earthquakes. Moreover, the study found that through rational cost allocation, it is possible to maximize building resilience performance while minimizing investment. The research concludes that smart building technologies play a crucial role in improving urban seismic resilience, and the proposed assessment framework and optimization model provide scientific decision support for future urban planning and building design.