Article(id=1281685598511534614, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.06.1222, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739462400000, receivedDateStr=2025-02-14, revisedDate=1744905600000, revisedDateStr=2025-04-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783507259252, onlineDateStr=2026-07-08, pubDate=1751040000000, pubDateStr=2025-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783507259252, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783507259252, creator=13701087609, updateTime=1783507259252, updator=13701087609, issue=Issue{id=1281685530169545672, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='6', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1751040000000', pubDateStr='2025-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783507242958, creator='13701087609', updateTime=1783589309504, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282029742274622413, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282029742274622414, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=181, endPage=190, ext={EN=ArticleExt(id=1281685600235393559, articleId=1281685598511534614, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Invulnerability analysis of multi-layer metro network under cascading failure, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

In order to investigate the impact differences of inter-layer and intra-layer passenger flow transfer proportions after stations failure on the invulnerability of the metro network, a multi-layer directed weighted metro network model was constructed, considering the train running time between stations, station dwell time, passenger transfer walking time, and waiting time. Station initial loads were determined by the actual passenger flow, and the station capacity was calculated using a nonlinear load-capacity model. Stations were sequentially targeted based on their relative importance. The maximum connected subgraph ratio and passenger travel efficiency ratio were selected as the metrics to measure the invulnerability of the metro network. An empirical analysis using the 2021 Xi'an metro network was conducted to study the effects of different inter-layer and intra-layer passenger flow transfer ratios and different capacity adjustment coefficients on the network's invulnerability. The results show that when the inter-layer passenger flow transfer ratio is 0.7, the impact on the invulnerability of the multi-layer metro network is minimal. When the capacity adjustment coefficients are set at b = 0.6 and c = 0.8, appropriately improving station service levels can enhance the network's invulnerability. As the number of attacked stations increases, the invulnerability of the metro network gradually decreases. Under the same attack conditions, the multi-layer directed weighted metro network demonstrates stronger invulnerability compared to the single-layer network, and the network's invulnerability is further reduced when cascading failures are considered.

, authors=Luming NIU¹, Zhuanglin MA^{**, 1}, Yiheng SHAO², Yue LIU^{3, 4}, Ke WU^{3, 4}, authorsList=Luming NIU, Zhuanglin MA, Yiheng SHAO, Yue LIU, Ke WU, authorCompany=null, correspAuthors=Zhuanglin MA, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281685600709349914, articleId=1281685598511534614, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=级联失效下多层地铁网络抗毁性分析, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为探讨车站失效后层间和层内客流转移比例对地铁网络抗毁性的影响差异，在综合考虑列车区间运行时间和到站停车时间，以及乘客换乘步行时间和候车等候时间的基础上，构建多层有向加权地铁网络模型。基于车站实际客流量确定车站初始负载，采用非线性负载容量模型计算车站容量，并根据车站重要性确定攻击顺序。选取最大连通子图比和乘客出行效率比作为地铁网络抗毁性的度量指标，结合2021年西安市地铁网络进行实证分析，研究不同的层间和层内客流转移比例、不同容量调节系数对地铁网络抗毁性的影响。结果表明：当层间客流转移比例为0.7时，对多层地铁网络抗毁性的影响最小；当容量调节系数参数b = 0.6、c = 0.8时，适当提高车站的服务水平有助于提高地铁网络抗毁性；随着攻击车站数量的增加，地铁网络的抗毁性逐渐减弱；在相同的攻击条件下，多层有向加权地铁网络比单层地铁网络表现出更强的抗毁性，考虑级联失效的网络抗毁性更差。

, authors=牛路明¹, 马壮林教授^{**, 1}, 邵逸恒², 刘悦^{3, 4}, 吴可^{3, 4}, authorsList=牛路明, 马壮林教授, 邵逸恒, 刘悦, 吴可, authorCompany=null, correspAuthors=马壮林教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=EkeOCVirbwujTcV3xg8lYQ==, magXml=sdYEnjhousnnFXstFIraOw==, pdfUrl=null, pdf=66wdjdj6d/xtElkhEBVKBA==, pdfFileSize=3574525, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=g+VXIugxr5HjUR9rJy7R4w==, mapNumber=null, fund=null)}, authors=[Author(id=1281685601292358184, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685598511534614, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=2022134030@chd.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281685601367855658, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685598511534614, authorId=1281685601292358184, language=EN, stringName=Luming NIU, firstName=Luming, middleName=null, lastName=NIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Transportation Engineering, Chang'an University, Xi'an Shaanxi 710064, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281685601439158827, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685598511534614, authorId=1281685601292358184, language=CN, stringName=牛路明, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹长安大学 运输工程学院，陕西 西安 710064, bio={"content":"

牛路明（2000—），女，河南许昌人，硕士研究生，主要研究方向为城市轨道交通运营组织与优化。E-mail: 2022134030@chd.edu.cn。

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牛路明（2000—），女，河南许昌人，硕士研究生，主要研究方向为城市轨道交通运营组织与优化。E-mail: 2022134030@chd.edu.cn。

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