Characterizing the Connectivity of Railway Networks

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

17 Scopus Citations
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Detail(s)

Original languageEnglish
Article number8710615
Pages (from-to)1491-1502
Journal / PublicationIEEE Transactions on Intelligent Transportation Systems
Volume21
Issue number4
Online published9 May 2019
Publication statusPublished - Apr 2020

Abstract

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.

Research Area(s)

  • Complex network, railway systems, simulation

Citation Format(s)

Characterizing the Connectivity of Railway Networks. / Xu, Zhongzhi; Zhang, Qingpeng; Chen, Dingjun et al.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 4, 8710615, 04.2020, p. 1491-1502.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review