Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Optimization of High-Speed Railway Network Based on Accessibility of Stations

Publication: ICTE 2019

ABSTRACT

High-speed railway (HSR) is an important carrier of China railway passenger transportation. It is of great significance to improve the performance of HSR network. This paper studies the optimization of HSR network with the goal of optimal global accessibility. Based on the degree of stations, clustering coefficient of stations, and other indicators, the topology characteristics of China's HSR network in 2030 are analyzed. The LeaderRank algorithm is used to identify the important stations of HSR network from the perspective of topology. Then the optimization model is established and solved with the goal of optimal accessibility of global network. The results show that Changsha is the most important station in China's HSR network in 2030. Considering the investment restrictions of railway construction, constructing HSR links between Tongliao and Yixian, Datong and Yulin, Wuhai and Wuwei, Mianzhu and Mianyang, and Huanghua and Zibo can maximize the global accessibility of China's HSR network in 2030. The optimization model can improve the performance of HSR network effectively, it also has certain reference significance to construction of HSR network.

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ACKNOWLEDGEMENTS

This research was supported by the National Key R & D Program of China (2017YFB1200700) and The National Natural Science Foundation of China (No. U1834209), the People’s Republic of China.

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Published In

Go to ICTE 2019
ICTE 2019
Pages: 589 - 598
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

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Published online: Jan 13, 2020

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School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan 610031, China. E-mail: [email protected]
Jie Liu
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan 610031, China
Wenli Zhang
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan 610031, China
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan 610031, China (corresponding author). E-mail: [email protected]
Yuhong Liu
School of Transportation and Logistics, Southwest Jiaotong Univ., Chengdu, Sichuan 610031, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan 610031, China

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