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首页> 外文期刊>International Journal on Critical Infrastructure Protection >Criticality assessment of urban interdependent lifeline systems using a biased PageRank algorithm and a multilayer weighted directed network model
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Criticality assessment of urban interdependent lifeline systems using a biased PageRank algorithm and a multilayer weighted directed network model

机译：使用偏倚的PageRank算法和多层加权有向网络模型对城市相互依赖的生命线系统的危险性评估

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Urban lifeline systems play vital roles in sustaining fundamental functionalities in urban areas. These systems, working collaboratively and synergistically, form a complex system of systems, in which disruptions in one system can rapidly propagate to others, posing a great challenge for the identification and protection of critical infrastructure facilities. This study introduces a new criticality assessment approach of interdependent lifeline systems. Given a weighted directed network of infrastructure systems, the proposed approach calculates vertex criticality through the biased PageRank algorithm: compared with the original PageRank algorithm, the biased one utilizes a personalization vector (in this context, vertex functional importance) in the process of criticality measurement. This algorithm design fulfils an integration of both network topology and function, and can comprehensively mea-sure vertex criticality. To consider the impact of cascading failure, this criticality assessment method also adopts a linear combination form to take into account the criticality of child vertices using conditional probabilities as parameters. A case study is conducted on five real lifeline systems in a middle-sized county in China with over 300,000 inhabitants. Based on the case study model, targeted vertex attacks are carried out to illustrate the validity and effectiveness of this criticality measurement. Examining both network topological and function response, resulting curves show that the criticality ranking calculated with the proposed approach is better to reflect component topological and functional importance compared to other commonly used metrics. The main contribution of this study to the body of knowledge is the proposition of a new approach for criticality assessment of facilities in interdependent infrastructure systems under disaster scenarios, which provides a useful and intuitive guide for decision making process with regards to pre-disaster infrastructure protection. (C) 2018 Elsevier B.V. All rights reserved.
机译：城市生命线系统在维持城市地区的基本功能方面起着至关重要的作用。这些系统协同协同地工作，形成了一个复杂的系统系统，其中一个系统中的中断会迅速传播到其他系统，这对关键基础设施的识别和保护构成了巨大挑战。这项研究介绍了一种相互依赖的生命线系统的新的危险性评估方法。给定基础设施系统的加权定向网络，该方法通过有偏的PageRank算法来计算顶点的关键度：与原始的PageRank算法相比，有偏的方法在关键度测量过程中使用了个性化矢量（在此情况下为顶点功能重要性） 。该算法设计实现了网络拓扑和功能的集成，并且可以全面地测量顶点的关键程度。为了考虑级联失败的影响，这种关键性评估方法还采用线性组合形式，以条件概率为参数考虑子顶点的关键性。在中国一个人口超过30万的中型县，对五个真实生命线系统进行了案例研究。在案例研究模型的基础上，进行了有针对性的顶点攻击，以说明这种重要性度量的有效性和有效性。检查网络拓扑和功能响应，结果曲线表明，与其他常用指标相比，使用该方法计算出的临界等级更好地反映了组件的拓扑和功能重要性。这项研究对知识体系的主要贡献是提出了一种新方法，用于在灾难情况下对相互依赖的基础设施系统中的设施进行关键性评估，该方法为灾难前基础设施保护方面的决策过程提供了有用且直观的指南。 （C）2018 Elsevier B.V.保留所有权利。

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