A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Vulnerability Assessment in Co-Located Flood Control and Transportation Networks
The objective of this paper is to investigate the interdependent transportation-flood control infrastructure vulnerability in the face of the fluvial flooding. A percolation simulation tool is employed to evaluate the flood-disrupted network functionality. First, a spatio-topological analysis is performed to model flood control infrastructure as a channel network and assess the vulnerability of the channels. Second, transportation infrastructure is modeled as a network of roads and inundation probabilities are estimated using their distance to the nearest channel together with the vulnerability of the channel. Finally, the post-flooding functionality of the road network is evaluated using graph-based measures. The framework is tested on a combined watershed in Harris County, Texas. Results show that failure of 10% of roads leads to a considerable loss of functionality in the road network. There are clusters of inundated roads in areas where the high density of development is concentrated around channels. The flood inundation also induces secondary impact by isolating the cluster of roads from the giant component. Such indirect connectivity disruption generally occurs in the areas with lower redundancy. The proposed framework provides an effective tool to inform the collaborative decision-making of flood control and transportation agencies to ensure network accessibility and better prepare the community for future flood hazards.
Vulnerability Assessment in Co-Located Flood Control and Transportation Networks
The objective of this paper is to investigate the interdependent transportation-flood control infrastructure vulnerability in the face of the fluvial flooding. A percolation simulation tool is employed to evaluate the flood-disrupted network functionality. First, a spatio-topological analysis is performed to model flood control infrastructure as a channel network and assess the vulnerability of the channels. Second, transportation infrastructure is modeled as a network of roads and inundation probabilities are estimated using their distance to the nearest channel together with the vulnerability of the channel. Finally, the post-flooding functionality of the road network is evaluated using graph-based measures. The framework is tested on a combined watershed in Harris County, Texas. Results show that failure of 10% of roads leads to a considerable loss of functionality in the road network. There are clusters of inundated roads in areas where the high density of development is concentrated around channels. The flood inundation also induces secondary impact by isolating the cluster of roads from the giant component. Such indirect connectivity disruption generally occurs in the areas with lower redundancy. The proposed framework provides an effective tool to inform the collaborative decision-making of flood control and transportation agencies to ensure network accessibility and better prepare the community for future flood hazards.
Vulnerability Assessment in Co-Located Flood Control and Transportation Networks
Farahmand, Hamed (author) / Dong, Shangjia (author) / Mostafavi, Ali (author)
Construction Research Congress 2020 ; 2020 ; Tempe, Arizona
Construction Research Congress 2020 ; 751-760
2020-11-09
Conference paper
Electronic Resource
English
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