灾害时空属性下高铁时序网络韧性分析

doi:10.19665/j.issn1001-2400.2022.04.018

摘要/Abstract

摘要：

评价高铁时序网络韧性对分析高铁系统结构、调度列车运行有着重要意义。针对现有高铁复杂网络韧性研究较少考虑到灾害因素的时空属性问题,基于节点于时间维度与空间维度受到不同灾害攻击的差异性,提出新的高铁时序网络韧性评估模型。首先,基于高铁列车运行经过站点的时间顺序及站点间的空间关系,构建高铁时序网络模型,并采用韧性指标评估常态下的高铁时序网络韧性;然后,考虑单灾害出现地点、出现时间及持续影响时间提出改进节点删除策略,并根据熵权法确定不同灾害的权重,构建多灾害下高铁时序网络韧性的评估模型,通过韧性指标评估灾害态势下的高铁时序网络韧性。仿真实验选取我国高铁运行数据和暴雨、地震等灾害过去十年的历史数据,将韧性评估模型与两种常用的复杂网络韧性评估模型进行对比。实验结果表明,相比于传统韧性评估模型,新提出的模型最终韧性损失比例总体下降了0.61%,与实际高铁网络受灾害影响的过程更加拟合,表明该模型具有良好理论价值和实用性。

关键词: 复杂网络, 韧性, 时空属性, 熵权法, 异质灾害

Abstract:

Evaluating the resilience of the high-speed rail temporal network is of great significance for analyzing the high-speed rail system structure and dispatching the operation of high-speed rail trains.This paper aims at the temporal and spatial attributes of disaster factors that are not well considered in the existing resilience studies of complex transportation networks,in which a new model of the analysis of the resilience of the high-speed rail temporal network is proposed based on the differences between nodes in the time and space dimensions of the network being attacked by different disasters.First,high-speed rail temporal network model is built based on the time sequence of the high-speed rail passing through stations and the spatial relationship between the stations.The resilience index is introduced to evaluate the resilience of the high-speed rail temporal and spatial network under normal conditions.Then,according to the entropy weight method,the weight of different disasters is determined,and an evaluation model for the resilience of the high-speed railway temporal network under multiple disasters is constructed,the resilience of high-speed rail temporal networks is evaluated under disaster situations through resilience indicators.The simulation experiment selects the operation data of China's high-speed rail and the historical data of the past ten years of disasters such as rainstorms and earthquakes,and compares the resilience evaluation model in this paper with two commonly used complex network resilience evaluation models.Experimental results show that compared with the traditional resilience assessment model,the final resilience loss ratio of the resilience assessment model in this paper is reduced by 0.61%,which is more in line with the process of the actual high-speed rail network affected by disasters,indicating that the model have a good theoretical value and practicality.

Key words: complex networks, resilience, temporal and spatial attributes, entropy weight method, heterogeneous disaster

中图分类号:

U293

王秋玲,柯宇昊,高诣民,程承,王宇杭,林吉祥. 灾害时空属性下高铁时序网络韧性分析[J]. 西安电子科技大学学报, 2022, 49(4): 156-166.

WANG Qiuling,KE Yuhao,GAO Yimin,CHENG Cheng,WANG Yuhang,LIN Jixiang. Analysis of resilience of the high-speed rail temporal network under disaster temporal and spatial attributes[J]. Journal of Xidian University, 2022, 49(4): 156-166.

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事件编号	列车编号	站点名称	站点编号	到站时间	发车时间
1	G1	北京南	59		7∶00
2	G1	天津南	740	7∶31	7∶33
?	?	?	?	?	?
48 428	G9730	衡阳东	370	18∶41	18∶43
48 429	G9730	长沙南	397	19∶26

站点编号	高铁站点	省份
1	安庆站	安徽
2	桐城东站	安徽
?	?	?
819	长寿北站	重庆
820	长寿湖站	重庆

城市名称	2011.01.01	2011.01.01	…	2020.12.31
安庆	0	2.176	…	0.048
蚌埠	0	0.001	…	0.087
?	?	?		?
温州	0	0.018	…	0
重庆	1.26	1.068	…	0.158

发震日期	经度/(°)	纬度/(°)	深度/km	震级/M	震中位置
2011-01-01 15∶31∶58	97.92	24.72	10	4.6	云南省德宏傣族景颇族自治州
2011-01-02 07∶33∶34	97.91	24.72	10	4.8	云南省德宏傣族景颇族自治州
?	?	?	?	?	?
2020-10-21 12∶04∶47	104.17	31.84	17	4.6	四川省绵阳市
2020-10-22 11∶03∶37	104.18	31.83	20	4.7	四川省绵阳市