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Connectivity Reliability on an Urban Rail Transit Network from the Perspective of Passengers’ Travel

Jie Liu
Southwest Jiaotong University, Chengdu, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, China

Qiyuan Peng
Southwest Jiaotong University, Chengdu, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, China

Jinqu Chen
Southwest Jiaotong University, Chengdu, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, China

Yong Yin
Southwest Jiaotong University, Chengdu, China / National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, China

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Ingår i: RailNorrköping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), Norrköping, Sweden, June 17th – 20th, 2019

Linköping Electronic Conference Proceedings 69:53, s. 806-816

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Publicerad: 2019-09-13

ISBN: 978-91-7929-992-7

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

In the context of the urbanization and the rapid development of Urban Rail Transit (URT). The reliability of URT network is getting attention. To measure it, three indicators are constructed from passengers’ tolerable travel paths, passengers’ travel efficiency and passengers’ travel realization on URT network, respectively. The tolerable coefficient which is the ratio of passengers’ tolerable travel time to shortest possible travel time is proposed and added to indicators. It can reflect passengers’ travel paths choice behavior. The ratio of affected passenger volume (RPV) is proposed to identify the important stations. The Automatic Fare Collection (AFC) data, train running time data are used to calculate the passenger volume and the number of passengers’ tolerable travel paths in Wuhan subway (China). Finally, the connectivity reliability of Wuhan subway network is analysed through simulating attack stations. The result shows that the important stations identification indicators of Degree Centrality (DC), Betweenness Centrality (BC) and ratio of affected passenger volume (RPV) can effectively identify the important stations on connectivity reliability of Wuhan subway. In particular, the important station identification indicator of RPV can identify the stations effectively which have great influence on passengers’ travel realization. In addition, attacking stations has greater impact on passengers’ tolerable travel paths than passengers’ travel efficiency and passengers’ travel realization.

Nyckelord

Urban Rail Transit network, Connectivity reliability, Passengers’ travel, Tolerable travel paths, Travel efficiency, ravel realization

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