山东科学2024,Vol.37Issue(5) :79-88.DOI:10.3976/j.issn.1002-4026.20240027

基于双层网络模型的城市公共交通系统抗毁性研究

Research on the invulnerability of urban public transport systems based on a double-layer network model

马学祥 韩梦薇 周光鑫 李树彬 申佳佳 孔祥科
山东科学2024,Vol.37Issue(5) :79-88.DOI:10.3976/j.issn.1002-4026.20240027

基于双层网络模型的城市公共交通系统抗毁性研究

Research on the invulnerability of urban public transport systems based on a double-layer network model

马学祥 1韩梦薇 2周光鑫 1李树彬 3申佳佳 4孔祥科1
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作者信息

  • 1. 山东轨道交通勘察设计院有限公司,山东济南 250014
  • 2. 济南轨道交通集团有限公司,山东济南 250101
  • 3. 山东警察学院道路交通安全研究所,山东济南 250014
  • 4. 中铁十八局集团第四工程有限公司,天津 300350
  • 折叠

摘要

为研究城市公共交通系统的抗毁性,采用复杂网络理论对地铁、公交系统进行映射和分析.首先,基于Space-L模型改进双层复杂网络构建方法,以实际换乘距离为指标构建连边,并以线路高峰小时载客能力为边权重构建地铁-公交双层网络;其次,通过度、强度、介数等指标分析双层网络与其子网络的特性;最后,分别采用随机攻击和蓄意攻击模型对双层网络及其子网络进行抗毁性分析.研究结果表明:地铁-公交双层网络呈现无标度特性,对蓄意攻击表现出脆弱性,且对不同蓄意攻击指标的敏感性不同.研究结论对于公共交通系统应对突发事件,提升系统韧性具有参考价值.

Abstract

To study the invulnerability of urban public transport systems,the complex network theory is used to map and analyze the metro and bus systems.First,an improved double-layer complex network construction method is proposed based on the Space-L model.This method constructs connecting edges based on actual transfer distances and uses the peak-hour passenger capacity of lines as edge weights to develop a metro-bus double-layer network.Second,the characteristics of this network and its sub-network are analyzed using indicators such as degree,intensity,and betweenness.Finally,the random attack and intentional attack models are utilized to analyze the invulnerability of the metro-bus double-layer network and its sub-networks,respectively.The results show that the developed network exhibits a scale-free property and is vulnerabe to intentioanl attacks,exhibiting different sensitivities to various intentioanl attack indicators.Thus,the results of this study provide valuable guidelines to public transport systems for responding to emergencies and improving their robustness.

关键词

复杂网络/地铁-公交双层网络/网络特性分析/蓄意攻击/抗毁性

Key words

complex network/metro-bus double layer network/network characteristic analysis/intentional attack/invulnerability

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基金项目

国家自然科学基金(71871130)

国家自然科学基金(71971125)

山东公安科技创新计划项目(GAKJCX2022-1)

出版年

2024
山东科学
山东省科学院

山东科学

CSTPCD
影响因子:0.266
ISSN:1002-4026
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