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Evaluation of Resilience Indicators for Public Transportation Networks by the Grey Relational Analysis

机译:灰色关系分析评估公共交通网络的复原性指标

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This article uses primarily the Grey Relational analysis method to analyze the effectiveness of 14 indicators related to transportation network resilience. In the process of analysis, we use the indicator data obtained from an unattacked network as the optimal reference sequence and a network attacked on the most connected node as the worst reference sequence. Besides the optimal and the worst scenarios, to study the network resilience, we define a network attacking strategy consisting in an assault on one node at a time, orderly for all nodes of the network. A relative Grey Correlation Degree is also proposed to evaluate the results. The analysis is made on 10 public transport networks. They show that the Global Efficiency is the indicator that has the greatest influence on the resilience of the public transportation network. We also categorized the resilience indicators into three different groups. We find that the most important category for network resilience is the Network Efficiency indicator, which includes the network structure plus the bus travel time.
机译:本文主要使用灰色关系分析方法,分析14个指标与运输网络弹性有关的有效性。在分析过程中,我们使用从无屠杀的网络获得的指示符数据作为最佳参考序列和在最连接的节点上攻击的网络作为最差的参考序列。除了最佳和最糟糕的情景外,要研究网络弹性,我们定义了一个网络攻击策略,一次在一个节点上的攻击中,有序地用于网络的所有节点。还提出了一种相对灰色的相关度来评估结果。分析是在10个公共交通网络上进行的。他们表明,全球效率是对公共交通网络的弹性影响最大的指标。我们还将弹性指标分为三个不同的群体。我们发现网络弹性最重要的类别是网络效率指示器,包括网络结构加上总线旅行时间。

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