(November 13) Developing an Integrated Framework to Assess and Optimize Urban Resilience

This session presents an integrated framework for assessing and optimizing the resilience of interdependent infrastructure systems under disruptive events. The framework combines system-level resilience assessment with models of infrastructure dependencies, cascading effects, recovery processes, and resource allocation to identify vulnerabilities and evaluate restoration strategies. The presentation will demonstrate how assessment and optimization can be integrated to support more effective pre-disaster planning and post-disaster recovery decisions.

Jingran Sun, PhD
Deputy Program Director, Resilient Transportation Infrastructure Systems
Center for Urban Transportation Research

Jingran Sun, PhD, is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of South Florida. His research focuses on infrastructure resilience and intelligent transportation systems, with an emphasis on modeling interdependent networks and optimizing system performance in the face of disruptions. His recent work addresses emerging challenges in enhancing the robustness and adaptability of critical infrastructure, with the following four specific areas:(1) Agent-based simulation and reinforcement learning for resilient infrastructure decision-making; (2) Bayesian network and fuzzy logic–based risk assessment of interdependent transportation systems; (3) Integration of AI and network science in planning and managing complex infrastructure systems. Dr. Sun holds three graduate degrees from The University of Texas at Austin: a PhD in Transportation Engineering, an MS in Statistics, and an MS in Construction Engineering and Project Management. He previously served as a postdoctoral fellow and Research Engineering Associate at UT Austin’s Center for Transportation Research. His work has been widely published and recognized, earning awards from IEEE ITSC, TRB, and ASCE.