Investigating Resiliency of Transportation Network Under Targeted and Potential Climate Change Disruptions
Maedeh Rahimitouranposhti, Bharat Sharma, Mustafa Can Camur, Olufemi A. Omitaomu, Xueping Li

TL;DR
This paper models and analyzes the resilience of intermodal transportation networks, especially rail and water systems, under targeted and climate change disruptions, providing insights for improving infrastructure robustness.
Contribution
It introduces a network science-based framework that assesses system robustness against climate-driven and targeted disruptions using high-resolution climate and infrastructure data.
Findings
Disruption of few nodes significantly reduces freight capacity.
Targeted node removal impacts tonnage more than network topology.
Climate-driven disruptions can cause substantial resilience challenges.
Abstract
Ensuring robustness and resilience in intermodal transportation systems is essential for the continuity and reliability of global logistics. These systems are vulnerable to various disruptions, including natural disasters and technical failures. Despite significant research on freight transportation resilience, investigating the robustness of the system after targeted and climate-change driven disruption remains a crucial challenge. Drawing on network science methodologies, this study models the interdependencies within the rail and water transport networks and simulates different disruption scenarios to evaluate system responses. We use the data from the US Department of Energy Volpe Center for network topology and tonnage projections. The proposed framework quantifies deliberate, stochastic, and climate driven infrastructure failure, using higher resolution downscaled multiple Earth…
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Taxonomy
TopicsInfrastructure Resilience and Vulnerability Analysis · Supply Chain Resilience and Risk Management
