Interconnected energy and transportation networks are modeled with real city data to quantify robustness to natural or synthetic disruptions using unweighted and weighted connectivity metrics.
Nature 464, 1025–1028
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Introduces phenomenological model R_eff = β(1-ρ)(1-τ)(1-γρτ) for coordination under AGI decision velocity, with phase transition and proposed randomized trial.
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Modeling Disruptions to Urban Metabolism using Interconnected Networks
Interconnected energy and transportation networks are modeled with real city data to quantify robustness to natural or synthetic disruptions using unweighted and weighted connectivity metrics.