Analytical Approach for Transportation Assets Risk and Resilience Analysis

Principal Investigators

Ali Mostafavi, Texas A&M University

Project Dates

September 1, 2023 to May 31, 2025

Floods damage roads and disrupt travel, but assessing that risk is difficult without reliable historical data and computationally efficient models. This project developed a framework using hundreds of 2D hydrodynamic flood simulations to estimate both infrastructure repair costs and travel time delays across flood scenarios. Applied to Harris County, Texas, the study analyzed inundation depths and associated damages across more than 21,000 road segments. By combining direct and societal costs into a single metric, the framework gives transportation planners and engineers a practical tool for prioritizing flood mitigation investments. The methodology is designed to scale to other flood-prone regions.