Characterization of Resilience of Networks to Uncertain Disruptions: A Case Study of Houston Road Network during Hurricane Harvey

Abdulla, Bahrulla; Birgisson, Björn

doi:10.1061/9780784483169.004

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…Also, the influence of the network topography on the flood's impact could be further investigated in the future. Indeed, in our case, we studied the flood impacts on a road network situated in mountainous and hilly regions, while other authors considered quite flat areas, as Abdulla et al (34)(35)(36)(37) with the Houston road network. Another direction for future works is related to a simple model for deriving Equation (1) and understanding its parameters.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, this model takes into account both flood protection's works and the elevation difference between the river's water surface and the bridge over it. In contrast to other simplified models such as in (34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44) , the model here takes into account all the relevant field features (additional information in the Subsection D − Flood failure). The flooded roads (in blue in Fig.…”

Section: Flooding Is Not a Percolation Transitionmentioning

confidence: 99%

“…Network science is a multidisciplinary field (18)(19)(20)(21) which offers robust and elegant tools and measures to investigate the topological features and properties of a network (22,23). In network science, a well-established framework for assessing the robustness of any kind of disrupted network is percolation theory (20,24,25), which was recently applied to road networks, to investigate the disruptive effects of earthquakes (26)(27)(28)(29) and traffic congestion (30)(31)(32)(33), as well as of flooding events (34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44). Abdulla et al (34) modelled the flood propagation over one of the neighborhoods road network of Houston, U.S, as a percolation mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…In most of these previous studies related to the application of percolation-based flood modeling on the road system (34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44), the network's functionality was expressed through the size of the largest connected component P ∞ and its evolution when roads are removed. A summary of those studies and their key features related to the percolation-based process is provided in Table 1.…”

Section: Introductionmentioning

confidence: 99%

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Local impacts on road networks and access to critical locations during extreme floods

Loreti

Ser‐Giacomi

Zischg

et al. 2022

Sci Rep

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Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of transportation networks when facing floods mostly use the framework of percolation but we show here on a realistic high-resolution flood simulation that it is inadequate. Indeed, the giant connected component is not relevant and instead, we propose to partition the road network in terms of accessibility of local towns and define new measures that characterize the impact of the flooding event. Our analysis allows to identify cities that will be pivotal during the flooding by providing to a large number of individuals critical services such as hospitalization services, food supply, etc. This approach is particularly relevant for practical risk management and will help decision makers for allocating resources in space and time.

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Section: Discussionmentioning

confidence: 99%