Article(id=1308453894011510792, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.03.013, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753718400000, receivedDateStr=2025-07-29, revisedDate=1766419200000, revisedDateStr=2025-12-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889318229, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889318229, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889318229, creator=13701087609, updateTime=1789889318229, updator=13701087609, issue=Issue{id=1308453882472984927, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='3', pageStart='1', pageEnd='150', issueExtLink='null', onlineDate='null', pubDate='1781020800000', pubDateStr='2026-06-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789889315479, creator='13701087609', updateTime=1789889814158, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308455974147224139, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308455974151418444, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453882472984927, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=101, endPage=109, ext={EN=ArticleExt(id=1308453894254780425, articleId=1308453894011510792, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Multi-Dimensional Passenger Flow Characteristics and Implications of Wuhan's Urban Rail Transit Network, columnId=1152669335454658940, journalTitle=Urban Rapid Rail Transit, columnName=Academic Discussion, runingTitle=null, highlight=null, articleAbstract=

To address low passenger flow efficiency in mega-cities' urban rail transit networks, this study takes Wuhan as a case, develops a multi-level framework to explore flow formation mechanisms, and proposes refined enhancement and prediction strategies. By comparing passenger flow evolution across different stages of networked operation, the study reveals a pattern of diminishing marginal returns in passenger flow growth, analyzes spatiotemporal characteristics at multiple levels, and identifies formation rules via correlation analysis. Based on the findings, a tiered strategy of "tapping the potential of core areas, improving the quality of central areas, and cultivating passenger demand in peripheral areas" is proposed, along with an optimized forecasting system that integrates macro-level multi-scenario prediction, corridor identification, and full-cycle dynamic calibration. The proposed framework provides systematic technical support for alleviating insufficient passenger flow and resource mismatch, offering practical value for sustainable urban rail transit development.

, authors=Ningning WU, Dong WANG, Lingqi LI, Song GAO, Yiying XIAO, Wencan GAO, authorsList=Ningning WU, Dong WANG, Lingqi LI, Song GAO, Yiying XIAO, Wencan GAO, authorCompany=null, correspAuthors=null, 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=1308453894539993098, articleId=1308453894011510792, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=武汉市轨道交通运营网络多维度客流特征及启示, columnId=1152669335668568445, journalTitle=都市快轨交通, columnName=学术探讨, runingTitle=null, highlight=null, articleAbstract=

针对特大城市轨道交通网络化运营中存在的部分线路客流效益偏低问题，以武汉市为研究对象，构建“宏观—中观—微观”多层级联动分析框架，系统性揭示客流形成机制，并提出精细化的客流提升策略与预测技术优化路径。研究通过对比网络化不同阶段的客流演变趋势，揭示客流增长呈现边际效益递减的规律；在此基础上，从线网、线路、站点及断面等多维度剖析客流时空分布特征，并结合关联因素分析，深入挖掘客流形成的内在机制。基于上述分析，提出“核心区提质—中心区挖潜—外围区培育”的分圈层客流提升策略，并构建“宏观多情景预测—廊道精准识别—全周期动态校准”的客流预测优化体系，突破传统单一静态分析的局限。研究框架可为缓解客流不足与资源错配问题提供系统性技术参考。

, authors=吴宁宁, 王东, 李玲琦, 高嵩, 肖逸影, 高文灿, authorsList=吴宁宁, 王东, 李玲琦, 高嵩, 肖逸影, 高文灿, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=wKZL6WulxWgFoOCno+AoJQ==, magXml=8gizkBwsbd5G/6PtTPccrw==, pdfUrl=null, pdf=X/tLcPSLuwCzzNeU8zy75A==, pdfFileSize=6578755, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Rbusjh56l/JRis0kOrbBQA==, mapNumber=null, fund=null)}, authors=[Author(id=1308453896268046351, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453894011510792, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=whjty_wnn@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1308453896360321041, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453894011510792, authorId=1308453896268046351, language=EN, stringName=Ningning WU, firstName=Ningning, middleName=null, lastName=WU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Wuhan Planning and Research Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430014, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1308453896440012818, tenantId=1146029695717560320, journalId=1146123302524792850, articleId=1308453894011510792, authorId=1308453896268046351, language=CN, stringName=吴宁宁, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=武汉市规划研究院（武汉市交通发展战略研究院），武汉 430014, bio={"content":"

吴宁宁，女，硕士，高级工程师，主要研究方向为交通模型与信息化、轨道交通研究、城市交通规划，whjty_wnn@qq.com

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吴宁宁，女，硕士，高级工程师，主要研究方向为交通模型与信息化、轨道交通研究、城市交通规划，whjty_wnn@qq.com

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