Resilience and efficiency in transportation networks
Alexander A. Ganin, Maksim Kitsak, Dayton Marchese, Jeffrey M., Keisler, Thomas Seager, and Igor Linkov

TL;DR
This paper analyzes urban transportation networks to evaluate their resilience and efficiency, showing that some cities are more vulnerable to disruptions despite high efficiency, emphasizing the importance of resilience in transportation planning.
Contribution
It introduces a network-based model to assess resilience and efficiency of 40 U.S. urban road systems, highlighting the trade-offs between efficiency and fragility.
Findings
Resilience varies significantly across cities, with San Francisco most fragile.
Many inefficient cities are surprisingly resilient to disruptions.
Efficiency alone does not predict a city's vulnerability to road network disruptions.
Abstract
Urban transportation systems are vulnerable to congestion, accidents, weather, special events, and other costly delays. Whereas typical policy responses prioritize reduction of delays under normal conditions to improve the efficiency of urban road systems, analytic support for investments that improve resilience (defined as system recovery from additional disruptions) is still scarce. In this effort, we represent paved roads as a transportation network by mapping intersections to nodes and road segments between the intersections to links. We built road networks for 40 of the urban areas defined by the U.S. Census Bureau. We developed and calibrated a model to evaluate traffic delays using link loads. The loads may be regarded as traffic-based centrality measures, estimating the number of individuals using corresponding road segments. Efficiency was estimated as the average annual delay…
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