Speaker: Maria Koliou, Ph.D., Texas A&M University
When: Friday, December 5, 9:30AM
Where: KH A510 (Lincoln), PKI 160 (Omaha)
Zoom: 937 3450 0302
Title: Quantifying Community-Level Recovery Through Coupled Agent-Based and Computer Vision Models
Abstract: The frequency of natural hazards is increasing in the United States and worldwide, resulting in communities suffering from direct economic impacts and prolonged recovery periods. To address those consequences, community-level resilience studies are needed to assess post-disaster recovery and evaluate pre- and post-disaster mitigation policies. This presentation will showcase advances in community-level simulations by leveraging agent-based modeling approaches to quantify communities' recovery processes and resilience at high granularity, and by coupling them with computer vision-based damage assessments to enhance post-disaster recovery predictions while reducing associated uncertainties. Additionally, the concept of equitable resilience is incorporated into the modeling framework to assess recovery inequality across different groups. Overall, the presented framework enables the incorporation of various hazard mitigation policies and facilitates decision-making for efficient restoration and equitable community resilience. Results will be presented for a testbed community subjected to tornado hazards.