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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
27.06.2017
DOI
https://doi.org/10.7307/ptt.v29i3.2133
ISSUE
2017 (Vol 29), Issue 3
LICENSE
Copyright (c) 2024 Shiwei Sun, Haiying Li, Xinyue Xu
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

A Key Station Identification Method for Urban Rail Transit: A Case Study of Beijing Subway

Authors:

Shiwei Sun
Beijing jiaotong University

Haiying Li
Beijing jiaotong University

Xinyue Xu
Beijing jiaotong University

Keywords:complex network theory, key station identification, urban rail transit,

Abstract

Congestion occurs and propagates in the stations of urban rail transit, which results in the impendent need to comprehensively evaluate the station performance. Based on complex network theory, a key station identification method is considered. This approach considers both the topology and dynamic operation states of urban rail transit network, such as degree, passenger demand, system capacity and capacity utilization. A case of Beijing urban rail transit is applied to verify the validation of the proposed method. It shows that the method can be helpful to daily passenger flow control and capacity enhancement during peak hours.

References

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How to Cite
Sun, S. (et al.) 2017. A Key Station Identification Method for Urban Rail Transit: A Case Study of Beijing Subway. Traffic&Transportation Journal. 29, 3 (Jun. 2017), 267-273. DOI: https://doi.org/10.7307/ptt.v29i3.2133.

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