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Publishing Language: Chinese
Yun JING1( 
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Abstract
China's high-speed railway network is becoming more developed and urban agglomerations are gradually expanding with significantly more new urban agglomerations. Passenger transportation modes need to be further studied to meet the needs of passengers traveling across urban agglomerations on high-speed rail networks. This study used an improved multinational logit (MNL) model to calculate the passenger flow loss rate of various transportation modes and constructed a model for optimizing high-speed railway network passenger transport based on the need for cross-urban group travel. The core nodes in the network were identified using a network node measurement algorithm based on the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) algorithm. Transition nodes in the passenger flow were identified using a transition multiplication selection algorithm based on network centrality. The model was then applied to the network composed of 22 cities with node measurement values above 0.15 to analyze full and partial network connections. The results show that the total passenger flow rate on the high-speed railway networks for cross-city travel can be increased by 11.54% with 90 fewer trains.
Keywords
centralityhigh-speed railway networkinter-city travelthrough modetransfer mode
CLC number: U292.7 Document code: A Article ID: 1000-0054(2022)07-1151-12
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Journal of Tsinghua University (Science and Technology)
Volume 62 Issue 7,July 2022
Pages 1151-1162
Cite this article:
JING Y, LI K, WANG X, et al. Passenger flow transport modes of inter-city groups with a high-speed railway network. Journal of Tsinghua University (Science and Technology), 2022, 62(7): 1151-1162. https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.015
Received: 29 October 2021
Published: 15 July 2022
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