铁路快捷货运网络鲁棒性分析

doi:10.16265/j.cnki.issn1003-3033.2020.03.023

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (3): 150-156.doi: 10.16265/j.cnki.issn1003-3033.2020.03.023

铁路快捷货运网络鲁棒性分析

张振江, 张玉召^** 副教授, 王小荣

兰州交通大学交通运输学院,甘肃兰州 730070

收稿日期:2019-12-26 修回日期:2020-02-14 出版日期:2020-03-28 发布日期:2021-01-26
通讯作者: **张玉召(1981—),男,安徽砀山人,博士,副教授,主要从事轨道交通运输组织与优化、客货运技术与管理研究。E-mail:yuzhaozhang@126.com。
作者简介:张振江(1994—),男,河北保定人,硕士研究生,研究方向为综合运输体系下的快捷货运服务网络优化与设计。E-mail:zzjlzjtu@163.com。
基金资助:
国家自然科学基金资助(71761025);甘肃高等学校科研资助项目(2018A-023)。

Robustness analysis of railway express freight network

ZHANG Zhenjiang, ZHANG Yuzhao, WANG Xiaorong

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China

Received:2019-12-26 Revised:2020-02-14 Online:2020-03-28 Published:2021-01-26

摘要/Abstract

摘要： 为保障铁路快捷货运运营面对突发事件时的稳定性,采用复杂网络及鲁棒优化理论,研究铁路快捷货运网络(REFN)拓扑特性及鲁棒性。首先,计算网络特征统计参数,分析REFN拓扑特性;然后,评价REFN中的重要节点,建立基于线路等级、度值、介数的综合评价指标;最后,计算不同攻击方式下的鲁棒性指标,对比分析有无级联失效情况下REFN鲁棒性。结果表明:与传统复杂网络节点重要性评价指标相比,考虑线路等级计算出的重要节点对网络鲁棒性影响更大;REFN在随机攻击下具有鲁棒性,在蓄意攻击下表现出较强的脆弱性,在考虑级联失效的情况下网络的脆弱性更加突出。

关键词: 铁路快捷货运网络(REFN), 鲁棒性, 级联失效, 拓扑特性, 评价指标

Abstract: In order to ensure operation stability of railway express freight transport in the face of emergencies, theories of complex network and robust optimization are used to study topological characteristics and robustness of REFN. Firstly, statistical parameters of network characteristics were calculated and topological characteristics of REFN were analyzed. Then, important nodes were evaluated before a comprehensive evaluation index was established based on route grade, degree value and betweenness. Lastly, robustness evaluation index under different attack modes was calculated and REFN robustness with or without cascading failure was compared and analyzed. The results show that in contrast to traditional evaluation index of node importance for complex networks, important nodes calculated based on route grade have a greater impact on network robustness. REFN is robust under random attacks, but shows greater vulnerability under intentional attacks, and even more prominent vulnerability when there is cascading failure.

Key words: railway express freight network (REFN), robustness, cascading failure, topological characteristics, evaluation index

中图分类号:

X951

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.

ZHANG Zhenjiang, ZHANG Yuzhao, WANG Xiaorong. Robustness analysis of railway express freight network[J]. China Safety Science Journal, 2020, 30(3): 150-156.

参考文献

[1] ZHANG Jianhua, HU Funian, WANG Shuliang, et al. Structural vulnerability and intervention of high speed railway networks[J]. Physica A: Statistical Mechanics and its Applications, 2016, 462: 743-751.
[2] 于宝, 冯春, 朱倩,等. 中国高速铁路网络脆弱性分析[J]. 中国安全科学学报, 2017, 27(9): 110-115.
YU Bao, FENG Chun, ZHU Qian, et al. Vulnerability analysis of China's high speed rail way network[J]. China safety Science Journal, 2017, 27(9): 110-115.
[3] ZHANG Jianhua, WANG Shuliang, WANG Xiaoyuan. Comparison analysis on vulnerability of metro networks based on complex network[J].Physica A: Statistical Mechanics and its Applications, 2018,496: 72-78.
[4] WAN Neng, BENJIAMING Z F, CAI Zhongliang. A spatially weighted degree model for network vulnerability analysis[J]. Geo-spatial Information Science, 2011, 14(4): 274-281.
[5] 张锦, 秦东. 快递企业配送网络的鲁棒性及其提升对策研究[J]. 交通运输工程与信息学报, 2018, 16(3): 7-13,58.
ZHANG Jin, QIN Dong. Research on robustness and promotion enterprise countermeasure of express network[J]. Journal of Transportation Engineering and Information, 2018,16(3): 7-13,58.
[6] YANG Yuhao,LIU Yongxue, ZHOU Minxi, et al. Robustness assessment of urban rail transit based on complex network theory: a case study of the Beijing subway[J]. Safety Science, 2015,79: 149-162.
[7] LANI M, RICHARD V, SHI Yuan, et al. Vulnerability of transportation networks: the New York city subway system under simultaneous disruptive events[J]. Procedia Computer Science, 2017, 119: 42-50.
[8] 蔡鉴明, 邓薇. 长沙地铁网络复杂特性与级联失效鲁棒性分析[J]. 铁道科学与工程学报, 2019, 16(6): 1 587-1 596.
CAI Jianming, DENG Wei. Complex characteristics of Changsha metro network and robustness analysis of cascading failures[J]. Journal of Railway Science and Engineering, 2019, 16(6): 1 587-1 596.
[9] 刘朝阳, 吕永波,刘步实,等. 城市轨道交通运输网络级联失效抗毁性研究[J]. 交通运输系统工程与信息, 2018, 18(5): 82-87.
LIU Zhaoyang, LYU Yongbo, LIU Bushi,et al. Cascading failure resistance of urban rail transit network[J]. Journal of Transportation Engineering and Information, 2018, 18(5): 82-87.
[10] SUN Lishan, HUANG Yuchen, CHEN Yanyan, et al. Vulnerability assessment of urban rail transit based on multi-static weighted method in Beijing, China[J]. Transportation Research Part A: Policy and Practice, 2018, 108: 12-24.
[11] ZHANG Jianhua, WANG Meng. Transportation functionality vulnerability of urban rail transit networks based on moving block: the case of Nanjing metro[J]. Physica A: Statistical Mechanics and its Applications, 2019, 535: 122367.
[12] 钟校, 张玉召, 任斌. 考虑碳排放的快捷货运方式选择模型[J]. 交通运输系统工程与信息, 2018, 18(6): 250-256.
ZHONG Xiao, ZHANG Yuzhao, REN Bin. Selection model of express freight with the considering of carbon emission[J]. Journal of Transportation Engineering and Information,2018, 18(6): 250-256.
[13] DIESTEL R, THOMAS R, TARDOS G. Graph theory[J]. Oberwolfach Reports, 2013, 10(1): 67-128.
[14] MOTTER A E,LAI Yingcheng. Cascade-based attacks on complex networks[J]. Physical Review E, 2002, 66(6):065102.
[15] PETTER H, KIM B J, CHANG N Y, et al. Attack vulnerability of complex networks[J]. Physical Review E Statistical Nonlinear & Soft Matter Phycics, 2002, 65(5):056109.

铁路快捷货运网络鲁棒性分析

Robustness analysis of railway express freight network

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