Highlights Introduction of a resilience index combining topological and demand-related metrics. Clustering suggests that the resilience index should be jointly examined with flow. Provision of polynomial relationships between the resilience index and traffic flow. Application of the methodology in a real-life urban road network.
Abstract Resilience is a complex term, bearing multiple definitions and resilience-related metrics. The most commonly utilized metrics are network efficiency and criticality that examine the impact that the removal of a structural element of a graph/ network has on its operation. Efficiency examines this term from a pure topological aspect and takes into account the shortest paths between the nodes whereas, on the other hand, criticality takes into account transportation-related variables like travel demand. In the present research, the interrelation between efficiency and criticality is further examined through a series of simulation experiments on the Athens city-center urban road network. For the quantification of efficiency, vulnerability, and criticality an iterative approach is used where, per iteration, one link of the network was removed. The outputs of the experiments are, then, statistically analyzed, using unsupervised and supervised techniques. Findings reveal that a polynomial relationship between the ratio of criticality and efficiency, and traffic flow exists. Finally, the implications of these findings to traffic and network management are discussed.
Urban road network resilience metrics and their relationship: Some experimental findings
2022-10-16
16 pages
Article (Journal)
Electronic Resource
English
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