A Systematic Approach to Climate Resilience Assessment of Infrastructure Networks

Abstract

With a changing climate, the frequency and intensity of extreme weather events are likely to increase, posing a threat to infrastructure systems' resilience. The response of infrastructure systems to localized failures depends on whether assets are affected randomly, in a targeted strategic way, or in any way in between. More than that, infrastructure decisions today, including new routes or improvements to existing assets, will underpin the behavior of the systems over the next century. It is important to separate and analyze the case of climatebased disruptions and how they affect systems' resilience. This paper presents a probabilistic resilience assessment framework where failure scenarios and network disruptions are generated using weather profile data from climate prediction models with component-level fragility functions. A case study is then carried out to quantify the resilience of Great Britain's railway passenger transport system to high-temperature-related track buckling under the Representative Concentration Pathway 8.5 (RCP8.5) climate change scenario. A 95-year horizon on the resilience of the railway system is drawn. The results reveal the non-linear responses of the railway system to the increasing temperature and show that models considering random asset failures overestimate the system's resilience.