Characterization of the Vulnerability of Road Networks to Fluvial Flooding Using Network Percolation Approach Conference Paper uri icon

abstract

  • © 2019 American Society of Civil Engineers. The objective of this paper is to model and characterize the percolation dynamics in road networks during a major fluvial flooding event. First, a road system is modelled as planar graph, then, using the level of co-location interdependency with flood control infrastructure as a proxy to the flood vulnerability of the road networks, it estimated the extent of disruptions each neighborhood road network experienced during a flooding event. Second, percolation mechanism in the road network during the flood is captured by assigning different removal probabilities to nodes in road network according to a Bayesian rule. Finally, temporal changes in road network robustness were obtained for random and weighted-adjusted node-removal scenarios. The proposed method was applied to road flooding in a super neighborhood in Houston during hurricane Harvey. The result shows that, network percolation due to fluvial flooding, which is modelled with the proposed Bayes rule based node-removal scheme, causes the decrease in the road network connectivity at varying rate.

name of conference

  • ASCE International Conference on Computing in Civil Engineering 2019

published proceedings

  • Computing in Civil Engineering 2019

author list (cited authors)

  • Abdulla, B., Mostafavi, A., & Birgisson, B.

citation count

  • 6

complete list of authors

  • Abdulla, Bahrulla||Mostafavi, Ali||Birgisson, Bjorn

publication date

  • June 2019