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Characterizing the Connectivity of Railway Networks

机译：表征铁路网络的连通性

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摘要

How well stations are connected with each other is a critical performance assessment of railway systems. Network analysis is a highly intuitive and interpretable approach to characterizing the physical connectivity of railway systems. However, the physical connectivity is often limited in depicting transportation network dynamics due to the lack of traffic flow information. This paper first comprehensively reviews the physical connectivity metrics and applies these metrics to evaluate the connectivity of China's high-speed railway system. Then, through integrating the real-world network topology and travel demand data, we conduct the first data-driven research on comparing the physical connectivity with the logical connectivity of railway systems. The experiments demonstrate that the physical connectivity metrics cannot well represent the connectivity of railway systems, due to the neglect of the heterogeneous distribution and temporal patterns of the passenger flows.
机译：站点彼此相连的良好是铁路系统的关键性能评估。网络分析是一种高度直观和可解释的方法，可以表征铁路系统的物理连接。然而，由于缺乏交通流量信息，物理连接通常限制在描绘运输网络动态。本文首先审查了物理连接指标，并应用了这些指标来评估中国高速铁路系统的连接。然后，通过整合现实世界网络拓扑和旅行需求数据，我们开展第一个数据驱动的研究，比较与铁路系统逻辑连接的物理连接。该实验表明，由于忽略了乘客流动的异构分布和时间图案，物理连接度量不能很好地代表铁路系统的连通性。

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