Modeling community resilience to natural hazards has gained substantial interest over the past decades due to the increased frequency and intensity resulting from climate change and urbanization. However, current research still lacks a comprehensive post-hazard functionality model that encompasses all the community components including households, buildings, and networks along with their complex physical, social, and economic interdependencies. In this research, a novel formulation is developed to model the interdependent Households-Buildings-Networks relationship and their role in community resilience. Specifically, the physical model of the community was developed using a high-resolution model of the different building sectors within the community after mapping a portfolio of building archetypes to populate each building occupancy within the community. The essential networks were also modeled including power, water, and transportation network. The social science model of the community was developed using U.S. Census data along with synthetic allocation algorithms to allocate households to housing units and labor to businesses. The approach was then developed and applied to account for the physical post-hazard functionality of buildings and the total building functionality after including the impact of the other building sectors and essential networks along with the impact of the socio-economic disruption. The novel contribution of the developed approach is the ability to include the social and economic interdependencies between the different building sectors and the essential networks in the post-hazard functionality assessment which would allow better risk- and resilience-informed decision making.
