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Effect of transportation infrastructure network size on its performance during disruptions

机译：运输基础设施网络规模对其中断期间的性能的影响

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This paper focuses on the effect of the size of a transportation infrastructure system network on its level of performance when disrupted. The average shortest path distance forms the basic property by which this study is carried out, since it also constitutes the basic unit around which the adjacency matrix is developed. In this paper, the main system studied comprises critical infrastructures (namely the highways and bridges in Newcastle County, Delaware), which is then developed into a network using graph theory. Two case studies are analysed, each selected from two different regions of the county, under the effect of two node removal strategies representing the real-life disruptions of natural and intentional attacks. Based on Spearman's rank correlation and the calculated average shortest path distances, it was shown that the smaller the size of a network, the shorter the path lengths and the more efficient the system. The other considered properties include the network density, average vertex degree, clustering coefficient, node betweenness, link betweenness and network connectivity to determine whether they showed a direct relationship with efficiency. Only the average shortest path distances and betweenness centralities showed a direct relationship with network efficiency. However, this work investigates how the presence of short path distances in a system network affects its performance and develops working equations for computing efficiency using regression equations.
机译：本文着重探讨了交通基础设施系统网络的规模在受到破坏时对其性能水平的影响。平均最短路径距离构成进行此研究的基本属性，因为它也是构成邻接矩阵的基本单位。本文研究的主要系统包括关键基础设施（即特拉华州纽卡斯尔县的公路和桥梁），然后使用图论将其发展为网络。分析了两个案例研究，每个案例都从县的两个不同地区中选出，在两种节点移除策略的作用下，这些策略代表了自然攻击和故意攻击的现实破坏。根据Spearman的等级相关性和计算出的平均最短路径距离，结果表明，网络规模越小，路径长度越短，系统效率越高。其他要考虑的属性包括网络密度，平均顶点度，聚类系数，节点间关系，链接间关系和网络连接性，以确定它们是否显示出与效率的直接关系。只有平均最短路径距离和中间性中心才显示出与网络效率的直接关系。但是，这项工作研究了系统网络中短路径距离的存在如何影响其性能，并使用回归方程式开发了用于计算效率的工作方程式。

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