In light of the escalating frequency and intensity of extreme climatic events, evaluating and improving the resilience of transportation networks has become paramount for sustainable infrastructure development. This investigation presents a comprehensive methodology to assess network resilience and compare measures across different systems, considering both existing and upgraded infrastructure. The current prevailing uncertainty surrounding extreme climatic events often compels transportation agencies to resort to over-engineered designs or, regrettably, to disregard necessary preparations due to the exorbitant costs associated with potential hazards. However, armed with pertinent data derived from this study, decision-makers and legislators can make informed choices in allocating resources efficiently to critical locations, thereby enabling a more feasible and well-considered response to climatic hazards. By leveraging hurricane storm surge simulation results, transportation agencies can accurately identify the most critical network components responsible for maintaining seamless network flow. Rather than undertaking a complete and expensive system overhaul, agencies can now prioritize targeted replacements and structural updates with ease. Furthermore, this approach facilitates the identification of network nodes that are most vulnerable to specific hazards, enabling planners to incorporate these vulnerabilities into long-term planning strategies. The research underscores the effectiveness of utilizing topological graph properties to track network response, making it a valuable tool for investigations into the resilience of transportation networks. By examining the nodes most impacted by the envelope simulation, planners can develop strategies that integrate and mitigate these vulnerabilities, thereby enhancing the overall resilience of the transportation system.
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