A Study on the Spatial Layout and Vulnerability of the High-Speed Rail Network in Northeast China
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i3.4367
Abstract
This paper employs complex network theory and spatial analysis methodologies to conduct a systematic exploration of the spatial arrangement and vulnerability of Northeast China's high-speed rail (HSR) network, which is structured as a unique "hub-and-spoke + trunk composite" system. The study uncovers that the network exhibits excessive reliance on three primary hubs—Shenyang, Changchun, and Harbin. This over-dependence generates heightened structural sensitivity and insufficient redundancy, significantly impairing the network's capacity to withstand disruptions and maintain operational continuity.Informed by resilience theory, the paper presents targeted optimization strategies: fortifying secondary hubs like Dalian, Jilin, and Qiqihar; building a multi-centered network to reduce core node dominance; increasing key channel density to enhance path diversity; optimizing inter-hub connectivity efficiency; and expanding branch line coverage to boost accessibility in peripheral regions. This research delivers theoretical foundations for strengthening the HSR network's resilience in Northeast China while offering practical insights to advance balanced regional development.
Keywords
Northeast China; High-Speed Rail Network; Spatial Layout; Vulnerability
Full Text
PDF - Viewed/Downloaded: 1 TimesReferences
[1] Maganioti, Wang Jiaoe, et al. The Structural Characteristics and Organization Mode of China's High-Speed Rail Network [J]. Acta Geographica Sinica, 2021, 76(8): 1-15.
[2] National Railway Administration. Northeast Region Railway Plan (2016-2030) [Z]. Beijing: China Railway Publishing House, 2016.
[3] Bocchini P. Resilience Theory for Infrastructure Systems [J]. Structure & Infrastructure Engineering, 2014, 10(6): 1-18.
[4] Rong Zaoh. Transportation Economics [M]. Beijing: Economic Science Press, 2020: 156-173.
[5] Northeast Three Provinces Bureau of Statistics. Transportation Development Statistical Bulletin [EB]. 2022.
[6] National UIC. High-Speed Rail Network Planning Methodology [R]. Paris: UIC, 2019.
[7] China Academy of Railway Sciences. White Paper on High-Speed Rail Transport Organization Optimization [R]. Beijing: China Railway Research Institute, 2022.
[2] National Railway Administration. Northeast Region Railway Plan (2016-2030) [Z]. Beijing: China Railway Publishing House, 2016.
[3] Bocchini P. Resilience Theory for Infrastructure Systems [J]. Structure & Infrastructure Engineering, 2014, 10(6): 1-18.
[4] Rong Zaoh. Transportation Economics [M]. Beijing: Economic Science Press, 2020: 156-173.
[5] Northeast Three Provinces Bureau of Statistics. Transportation Development Statistical Bulletin [EB]. 2022.
[6] National UIC. High-Speed Rail Network Planning Methodology [R]. Paris: UIC, 2019.
[7] China Academy of Railway Sciences. White Paper on High-Speed Rail Transport Organization Optimization [R]. Beijing: China Railway Research Institute, 2022.
Copyright © 2025 He Yu
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
