School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA.
Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77840, USA.
J R Soc Interface. 2019 Aug 30;16(157):20190149. doi: 10.1098/rsif.2019.0149. Epub 2019 Aug 7.
The objective of this paper is to integrate the post-disaster network access to critical facilities into the network robustness assessment, considering the geographical exposure of infrastructure to natural hazards. Conventional percolation modelling that uses generating function to measure network robustness fails to characterize spatial networks due to the degree correlation. In addition, the giant component alone is not sufficient to represent the performance of transportation networks in the post-disaster setting, especially in terms of the access to critical facilities (i.e. emergency services). Furthermore, the failure probability of various links in the face of different hazards needs to be encapsulated in simulation. To bridge this gap, this paper proposed the metric robust component and a probabilistic link-removal strategy to assess network robustness through a percolation-based simulation framework. A case study has been conducted on the Portland Metro road network during an M9.0 earthquake scenario. The results revealed how the number of critical facilities severely impacts network robustness. Besides, earthquake-induced failures led to a two-phase percolation transition in robustness performance. The proposed robust component metric and simulation scheme can be generalized into a wide range of scenarios, thus enabling engineers to pinpoint the impact of disastrous disruption on network robustness. This research can also be generalized to identify critical facilities and sites for future development.
本文旨在将灾害后对关键设施的网络访问纳入网络鲁棒性评估中，同时考虑基础设施对自然灾害的地理暴露程度。由于度相关性，传统的使用生成函数来衡量网络鲁棒性的渗流建模无法描述空间网络。此外，在灾害后环境中，仅巨团不足以代表交通网络的性能，特别是在访问关键设施（即应急服务）方面。此外，还需要在模拟中封装各种链路在面对不同灾害时的失效概率。为了弥补这一差距，本文提出了稳健组件度量和概率链路删除策略，通过基于渗流的模拟框架评估网络鲁棒性。本文对 M9.0 地震情景下的波特兰地铁道路网络进行了案例研究。研究结果揭示了关键设施数量如何严重影响网络鲁棒性。此外，地震引起的故障导致稳健性能出现两阶段渗流转变。所提出的稳健组件度量和模拟方案可以推广到广泛的场景中，从而使工程师能够确定灾难性破坏对网络稳健性的影响。这项研究还可以推广到识别关键设施和未来发展的地点。
