Resilience of Urban Transport Network-of-Networks under Intense Flood Hazards Exacerbated by Targeted Attacks
Resilience of Urban Transport Network-of-Networks under Intense Flood Hazards Exacerbated by Targeted Attacks
复制标题
城市交通网络在强洪水灾害下的恢复能力
DOI：
10.1038/s41598-020-66049-y
复制
发表时间：
2020-06-25
影响因子：
4.6
通讯作者：
Ganguly, Auroop R.
中科院分区：
文献类型：
--
作者：
Yadav, Nishant;Chatterjee, Samrat;Ganguly, Auroop R.
包括洪水在内的自然灾害可能引发相互依赖的城市交通网络（NoNs）的灾难性故障。人口增长增加了交通需求，而城市化和气候变化加剧了城市洪水。然而，尽管明确需要制定可操作的见解来提高关键城市生命线的弹性，但理论和方法仍然不发达。此外，随着基础设施系统变得更加智能，安全专家指出，在自然灾害期间，有针对性的网络物理攻击的威胁日益增加。在这里，我们为城市交通NoNs开发了一个假设驱动的弹性框架，并在伦敦铁路网（LRN）上进行了验证。我们发现，为效率最大化而不是鲁棒性而设计的拓扑属性使网络更容易受到包括级联故障在内的复合自然目标中断的影响。我们的研究结果表明，可以利用网络科学原理开发出中断后恢复的组织原则。我们的研究结果和框架可以推广到城市生命线和更普遍的现实世界的空间网络。
Natural hazards including floods can trigger catastrophic failures in interdependent urban transport network-of-networks (NoNs). Population growth has enhanced transportation demand while urbanization and climate change have intensified urban floods. However, despite the clear need to develop actionable insights for improving the resilience of critical urban lifelines, the theory and methods remain underdeveloped. Furthermore, as infrastructure systems become more intelligent, security experts point to the growing threat of targeted cyber-physical attacks during natural hazards. Here we develop a hypothesis-driven resilience framework for urban transport NoNs, which we demonstrate on the London Rail Network (LRN). We find that topological attributes designed for maximizing efficiency rather than robustness render the network more vulnerable to compound natural-targeted disruptions including cascading failures. Our results suggest that an organizing principle for post-disruption recovery may be developed with network science principles. Our findings and frameworks can generalize to urban lifelines and more generally to real-world spatial networks.