Integration of stress testing with graph theory to assess the resilience of urban road networks under seismic hazards
Nazli Yonca Aydin (),
H. Sebnem Duzgun (),
Friedemann Wenzel () and
Hans Rudolf Heinimann ()
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Nazli Yonca Aydin: ETH Zurich
H. Sebnem Duzgun: Department of Mining Engineering
Friedemann Wenzel: Karlsruhe Institute of Technology, Geophysical Institute
Hans Rudolf Heinimann: ETH Zurich
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 91, issue 1, 37-68
Abstract Transportation networks daily provide accessibility and crucial services to societies. However, they must also maintain an acceptable level of service to critical infrastructures in the case of disruptions, especially during natural disasters. We have developed a method for assessing the resilience of transportation network topology when exposed to environmental hazards. This approach integrates graph theory with stress testing methodology and involves five basic steps: (1) establishment of a scenario set that covers a range of seismic damage potential in the network, (2) assessment of resilience using various graph-based metrics, (3) topology-based simulations, (4) evaluation of changes in graph-based metrics, and (5) examination of resilience in terms of spatial distribution of critical nodes and the entire network topology. Our case study was from the city of Kathmandu in Nepal, where the earthquake on April 25, 2015, followed by a major aftershock on May 12, 2015, led to numerous casualties and caused significant damage. Therefore, it is a good example for demonstrating and validating the developed methodology. The results presented here indicate that the proposed approach is quite efficient and accurate in assisting stakeholders when evaluating the resilience of transportation networks based on their topology.
Keywords: Disaster resilience; Earthquake; Graph theory; Resilience assessment; Stress testing; Transportation infrastructure; Road network; Resilience (search for similar items in EconPapers)
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