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Infrastructure Resilience Conference 2018

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Resilience Assessment for Rural Road Networks Under Disruptions Due to Earthquake-Triggered Landslides

Increasing urbanization, as well as climate change, is escalating the intensity and duration of natural hazards. As one of the essential components of urban systems, transportation infrastructures are adversely affected by natural hazards. For example, the major earthquake in Gorkha, Nepal on 25 April 2015, and the following aftershocks not only resulted in physical damages on road segments but also triggered thousands of landslides leading to hundreds of fatalities and blockage of vital roads and trails to the affected villages. Ideally, transportation infrastructures should provide accessibility to critical facilities and maintain an acceptable level of services even after a seismic disruption. Resilience assessment methodologies and strategies are required for transportation networks in order to achieve continuous accessibility to these critical services and to strengthen the existing systems against unexpected disruptions due to a seismic hazard. In this study, the resilience assessment methodology and resilience enhancement scenarios are proposed for transportation networks, which are exposed to earthquake – triggered landslides. The case study is chosen from the Sindhupalchowk district in Nepal. The earthquake on 25 April 2015 followed by a major aftershock on 12 May 2015 triggered multiple landslides and resulted in many casualties and damages in the transportation network. In this study, the earthquake – triggered landslide data are obtained from different resources and processed to identify closed road segments. Afterward, a methodology is developed adapting graph theory indices together with scenario analysis approach in order to test each resilience enhancement strategy (i.e., scenario) in terms of their performance of stabilizing critical functionalities in the rural road network. Critical functionalities of each node are evaluated using graph-based metrics (i.e., node betweenness centrality) and the amount of time needed to recover the critical functionalities for each scenario is identified based on the field surveys and the magnitude of landslides. The results show that the proposed approach is efficient in terms of evaluating the recovery time as well as finding an efficient strategy to rapidly rebuilt critical functionalities in transportation networks. This methodology can guide decision makers and authorities for planning resilient infrastructure systems.

Nazli Yonca Aydin
ETH Zurich Future Resilient Systems

Sebnem Duzgun
Middle East Technical University

Hans Rudolf Heinimann


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