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Analytical Approach for Transportation Assets Risk and Resilience Analysis
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2025-03-01
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[PDF-3.50 MB]
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Edition:Final Project Report 9/1/2023 - 3/31/2025
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Abstract:Flood risk assessment for urban road infrastructure faces significant challenges, particularly due to the scarcity of historical inundation data and the computational inefficiencies of traditional hydrodynamic models. This study addresses these challenges by leveraging 592 modular 2D hydrodynamic flood simulations to assess both direct agency costs (infrastructure repair) and user costs (travel time delays) resulting from flood events. The methodology integrates hazard scenario generation, hazard-asset pairing, vulnerability assessment, and impact analysis to develop a holistic framework for flood risk and resilience assessment. Harris County, TX, a flood-prone region that includes the Houston metropolitan area, serves as the testbed for this analysis. High-resolution flood simulations are paired with geospatial road network data to estimate inundation depths and associated damages for over 21,000 road segments. Depth-damage functions are applied to quantify the direct economic costs of road infrastructure damage, while a transportation resilience model calculates the societal impacts in terms of travel time delays across flood scenarios. The results demonstrate that flood-induced infrastructure damage and travel disruptions exhibit spatial heterogeneity and nonlinear relationships with inundation depth, highlighting critical road segments that require targeted resilience interventions. By combining direct and societal costs into a unified monetary metric, this study provides stakeholders with a robust decision-support tool for prioritizing flood mitigation investments and enhancing urban resilience. The frameworkâs computational efficiency and scalability make it adaptable for application in other flood-prone regions, offering a valuable resource for policymakers, planners, and engineers.
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