Characteristic analysis of high-speed railway network in China

Guo, D, Qin, Y, Wang, L and An, M ORCID: https://orcid.org/0000-0002-1069-7492 2018, Characteristic analysis of high-speed railway network in China , in: EITRT 2017 : The third International Conference on Electrical Engineering and Information Technologies for Rail Transportation, Oct 20, 2017 - Oct 22, 2017, Changsha, China.

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Abstract

The high-speed railway has been developed rapidly, and the topological structure and transportation organization of the railway network have changed greatly. In this paper, China’s high-speed railway is taken as the research object and train flow network is established. Indexes are calculated from the perspective of the network and transportation organization. The comprehensive evaluation index is determined with TOPSIS method to identify key indicators of the station. The example identifies not only the provincial capital stations, but also the stations with small scale but critical position affecting the whole network transportation service capacity. The research of high-speed railway network property contributes to forming the transport organization strategy, which makes the network service feature more robust and helps for the optimization of railway network infrastructure.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of the Built Environment > Centre for Urban Processes, Resilient Infrastructures & Sustainable Environments
Journal or Publication Title: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017
Publisher: Springer
Series Name: Lecture Notes in Electrical Engineering
ISBN: 9789811079887; 9789811079894
ISSN: 1876-1100
Related URLs:
Funders: National Key Research and Development Programme of China, Beijing Jiaotong University State Key Laboratory of Rail Traffic and Control and Safety
Depositing User: Professor Min An
Date Deposited: 29 Mar 2019 15:35
Last Modified: 29 Nov 2019 12:45
URI: http://usir.salford.ac.uk/id/eprint/50812

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