Problem
Research questions and friction points this paper is trying to address.
urban metabolism
interdependent networks
infrastructure disruption
connectivity
resilience
Modeling Disruptions to Urban Metabolism using Interconnected Networks
🤖 AI Summary
This study investigates the interdependent mechanisms between energy and transportation infrastructure within urban metabolic systems under perturbations. Treating the city as an organism, it pioneers the integration of real-world, city-scale power distribution and road network geometry to construct an electricity–road interdependent network model. Combining graph-theoretic connectivity analysis with empirical data-driven robustness assessment, the work introduces both weighted and unweighted metrics to quantitatively evaluate system resilience. The research uncovers cascading failure pathways triggered by disturbances in a single infrastructure network, offering an innovative modeling framework and quantitative foundation for understanding the coupled vulnerability of urban multi-infrastructure systems.
📝 Abstract
Representation of cities as organisms with metabolic processes is a useful analogy for urban design, development and sustainability. Urban metabolism can be modeled by representing urban systems as networks. The various networks included in a city's metabolism are interdependent in complex ways. Thus, understanding the interaction among these networks is essential to understanding how a healthy urban metabolism is sustained and how injuries to the metabolic system can "heal". It is particularly important to understand how disruptions to one system in an urban area affect the functioning of other systems. Using distribution-level data from a real U.S. city on the electricity distribution system and road geometry, we apply connected network modeling to two critical inter-connected urban infrastructure sectors: energy and transportation. We quantify the robustness of these interdependent networks by evaluating the connectivity disruptions that may occur due to natural or synthetic disruptive events, using both unweighted and weighted metrics.
Innovation
Methods, ideas, or system contributions that make the work stand out.
interconnected networks
urban metabolism
infrastructure interdependence
network robustness
disruption modeling
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