Characteristic analysis of high-speed railway network in China

Guo, D; Qin, Y; Wang, L; An, M

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.

Citation

Guo, D., Qin, Y., Wang, L., & An, M. Characteristic analysis of high-speed railway network in China. Presented at EITRT 2017 : The third International Conference on Electrical Engineering and Information Technologies for Rail Transportation, Changsha, China

• Presentation Conference Type: Other
• Conference Name: EITRT 2017 : The third International Conference on Electrical Engineering and Information Technologies for Rail Transportation
• Conference Location: Changsha, China
• Online Publication Date: Mar 30, 2018
• Publication Date: Mar 30, 2018
• Deposit Date: Mar 29, 2019
• Series Title: Lecture Notes in Electrical Engineering
• Series Number: 483
• Book Title: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017
• ISBN: 9789811079887;-9789811079894
• DOI: https://doi.org/10.1007/978-981-10-7989-4_66
• Publisher URL: https://doi.org/10.1007/978-981-10-7989-4_66
• Related Public URLs: https://doi.org/10.1007/978-981-10-7989-4
• Additional Information: Event Type : Conference; Funders : National Key Research and Development Programme of China;Beijing Jiaotong University State Key Laboratory of Rail Traffic and Control and Safety; Projects : Rail Traffic Safety;Railway Infrastructure Safety Risk Quantitative Analysis Technology; Grant Number: 2016YFB1200401; Grant Number: RCS2017K001 & RCS2016ZT016