Robustness evaluation for high-speed railway network with spatiotemporal dynamic characteristics

doi:10.16265/j.cnki.issn1003-3033.2024.04.0648

Abstract

Abstract:

In order to effectively evaluate the transportation service performance of HSRN and ensure the reliability of HSRN in the face of emergencies, based on complex network theory, a robustness evaluation method considering temporal and spatial dynamic characteristics was proposed. The dynamic changes of HSRSN was considered, and time information was incorporated into the modeling of HSRSN. Based on empirical operation data of high-speed railways in China, the necessity of considering spatiotemporal dynamic characteristics to evaluate network performance was verified, and the distribution characteristics of HSRN robustness in China were explored from the spatiotemporal dimension. The experimental results show that the train flow passing through different stations is different, and the network robustness exhibits a significant spatial distribution difference. Moreover, the disturbance scenarios are different, and the contribution of train frequency and spatial position of stations to the importance of stations is also different. In addition, the occurrence time and duration of disturbances are two key time factors that affect network robustness. Their different combinations result in significant time distribution differences in network robustness. The impact of disturbances on network performance varies at different time periods, resulting in obvious fluctuations in station importance ranking at different time periods.

Key words: spatiotemporal dynamic characteristics, high-speed railway network (HSRN), robustness, complex network theory, temporal network efficiency

CLC Number:

X951交通运输安全

LI Zhuo, HE Ruichun, LI Wenxia. Robustness evaluation for high-speed railway network with spatiotemporal dynamic characteristics[J]. China Safety Science Journal, 2024, 34(4): 111-120.

Figures/Tables 10

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References 17

[1]	周丰, 孙洪涛. 新时代背景下中长期规划高速铁路网适应性探讨[J]. 铁道标准设计, 2019, 63(11):30-34.
	ZHOU Feng, SUN Hongtao. Discussion on the adaptability of the medium and long-term high-speed railway network planning for a new era[J]. Railway Standard Design, 2019, 63(11): 30-34.
[2]	何大韧, 刘宗华, 汪秉宏. 复杂系统与复杂网络[M]. 北京: 高等教育出版社, 2009: 13-14.
[3]	WANG Wei, CAI Kaiquan, DU Wenbo, et al. Analysis of the Chinese railway system as a complex network[J]. Chaos, Solitons & Fractals, 2020, 130: DOI: 10.1016/j.chaos.2019.109408.
[4]	XU Zhongzhi, ZHANG Qingpeng, CHEN Dingjun, et al. Characterizing the connectivity of railway networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(4): 1491-1502.
[5]	JIAO Jingjuan, WANG Jiaoe, JIN Fengjun, et al. Impacts on accessibility of China's present and future HSR network[J]. Journal of Transport Geography, 2014, 40: 123-132.
[6]	WANG Zhaojing, JIA Limin, MA Xiaoping, et al. Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model[J]. Reliability Engineering & System Safety, 2022, 222: DOI: 10.1016/j.ress.2022.108411.
[7]	ZHANG Jianhua, CAI Yunze, XU Xiaoming, et al. Topological vulnerability of Chinese high speed rail network[C]. The 30^th Chinese Control Conference. IEEE, 2011: 832-837.
[8]	马亮, 胡宸瀚, 陈光伟. 铁路快速货运复杂网络拓扑特征与鲁棒性分析[J]. 中国安全科学学报, 2022, 32(6): 178-185. doi: 10.16265/j.cnki.issn1003-3033.2022.06.1492
	MA Liang, HU Chenhan, CHEN Guangwei, et al. Analysis on topological characteristics and robustness of complex network of railway express freight transportation[J]. China Safety Science Journal, 2022, 32(6): 178-185. doi: 10.16265/j.cnki.issn1003-3033.2022.06.1492
[9]	ZHANG Jianhua, HONG Liu, WANG Shuliang, et al. Reliability assessments of Chinese high speed railway network[C]. 2011 IEEE International Conference on Service Operations, 2011: 413-418.
[10]	马亮, 金福才, 胡宸瀚. 中国铁路快捷货物运输网络复杂性分析[J]. 复杂系统与复杂性科学, 2023, 20 (4): 26-32.
	MA Liang, JIN Fucai, HU Chenhan. Complexity analysis of Chinese railway express freight transportation network[J]. Complex Systems and Complexity Science, 2023, 20 (4): 26-32.
[11]	张振江, 张玉召, 王小荣. 铁路快捷货运网络鲁棒性分析[J]. 中国安全科学学报, 2020, 30 (3): 150-156. doi: 10.16265/j.cnki.issn1003-3033.2020.03.023
	ZHANG Zhenjiang, ZHANG Yuzhao, WANG Xiaorong. Robustness analysis of railway express freight network[J]. China Safety Science Journal, 2020, 30 (3): 150-156. doi: 10.16265/j.cnki.issn1003-3033.2020.03.023
[12]	XIN Zhongling, NIU Fangqu. Structure and robustness of China's railway transport network[J]. Transportation Letters, 2023, 15(5): 375-385.
[13]	LI Tao, RONG Lili. A comprehensive method for the robustness assessment of high-speed rail network with operation data: a case in China[J]. Transportation Research Part A: Policy and Practice, 2020, 132: 666-681.
[14]	JIAO Jingjuan, ZHANG Fangni, LIU Jian. A spatiotemporal analysis of the robustness of high-speed rail network in China[J]. Transportation Research Part D: Transport and Environment, 2020, 89: DOI: 10.1016/j.trd.2020.102584.
[15]	XIE Fengjie, MA Mengdi, REN Cuiping. Research on multilayer network structure characteristics from a higher-order model: the case of a Chinese high-speed railway system[J]. Physica A: Statistical Mechanics and its Applications, 2022, 586: DOI: 10.1016/j.physa.2021.126473.
[16]	HONG Liu, YE Bowen, YAN Han, et al. Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows[J]. Transportation Research Part A: Policy and Practice, 2019, 130: 725-744.
[17]	FENG Xiao, HE Shiwei, LI Yubin. Temporal characteristics and reliability analysis of railway transportation networks[J]. Transportmetrica A Transport Science, 2019, 15 (4): 1-41.