Article(id=1308454726547297271, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.04.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1781452800000, receivedDateStr=2026-06-15, revisedDate=1783785600000, revisedDateStr=2026-07-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889516722, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889516722, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889516722, creator=13701087609, updateTime=1789889516722, updator=13701087609, issue=Issue{id=1308454712513156008, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='4', pageStart='1', pageEnd='197', issueExtLink='null', onlineDate='null', pubDate='1786291200000', pubDateStr='2026-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1789889513376, creator='13701087609', updateTime=1789889839088, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308456079029986178, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308456079029986179, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308454712513156008, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=73, endPage=79, ext={EN=ArticleExt(id=1308454726845092856, articleId=1308454726547297271, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Operational Efficiency Evaluation of Metropolitan Rapid Rail Transit, columnId=1308454713645618089, journalTitle=Urban Rapid Rail Transit, columnName=Special Feature: 200th Issue, runingTitle=null, highlight=null, articleAbstract=

There are significant differences in passenger flow distribution patterns between metropolitan rapid rail transit and metro systems. How to conduct a scientific and reasonable evaluation is crucial to the healthy development of metropolitan areas and urban agglomerations in China, and thus deserves in-depth exploration. This paper systematically defines the connotation, calculation methods, and applicable boundaries of passenger transport intensity and passenger flow density based on the Urban rail transit operation indicator system (GB/T38374—2019) and the 2025 annual statistical data of the China Urban Rail Transit Association. It compares and analyzes the differences between metropolitan rapid rail transit and metro in terms of travel space, time, demand, and operational characteristics. Using data from 34 operational metropolitan rapid rail transit in 22 cities across the country and typical lines in multiple cities as examples, this paper conducts a quantitative empirical analysis. The results show that in 2025, the average passenger transport intensity of medium-capacity system category including metropolitan rapid rail transit in China was only 1.8 thousand person-times/km·day, far lower than the 7.3 thousand person-times/km·day for metro systems, while the passenger flow density reached 24.6 thousand person·km/km·day, indicating that its transport efficiency was underestimated. The average travel distance of metropolitan rapid rail transit is generally greater than 30 km, which is the core factor causing the evaluation deviation between the two indicators. Passenger flow density is more capable of matching the functional positioning of long-distance transportation of metropolitan rapid rail transit. The passenger flow density indicator is also applicable to metro lines with shorter travel distances in central urban areas, but due to the relatively short average travel distance of metro, passenger transport intensity and passenger flow density are highly positively correlated. Building on a systematic review of existing studies, this paper proposes a multi-dimensional evaluation framework for metropolitan rapid rail transit, with passenger flow density as its core while incorporating average travel distance and spatiotemporal convergence benefits. The objectivity of the proposed framework is validated through theoretical analysis, empirical testing, and comprehensive benefit assessment. Optimization recommendations are further offered to provide theoretical support and reference for the planning approval, operational assessment, and high-quality sustainable development of metropolitan rail transit.

, authors=Xiaoqin Zhou¹, Baoming Han^{1, 2}, Tianfeng Jin^{1, 3}, authorsList=Xiaoqin Zhou, Baoming Han, Tianfeng Jin, 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=1308454731010036729, articleId=1308454726547297271, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=市域快速轨道运营效率评价研究, columnId=1308454713796613035, journalTitle=都市快轨交通, columnName=200期专辑, runingTitle=null, highlight=null, articleAbstract=

为深入探讨市域快速轨道（简称市域快轨）与地铁等轨道交通系统在客流的分布规律上的差异，并进行科学合理的评价，基于《城市轨道交通运营指标体系》（GB/T38374—2019）与中国城市轨道交通协会2025年度统计数据，系统界定客运强度与客流密度的指标内涵与适用边界，分析市域快轨在出行空间、时间、需求等方面的运营特征。以全国22座城市34条已运营市域快轨线路及多条典型地铁线路数据为例，开展量化实证研究。研究表明：2025年全国市域快轨所属中运能系统平均客运强度仅0.18万人次/（km·d），远低于地铁0.73万人次/（km·d），而客流密度达2.46万人次·km/（km·d），运输效率被低估；市域快轨平均运距普遍大于30 km，这是两类指标评价偏差的核心因素；客流密度更能够匹配市域快轨长距离运输的功能定位，客流密度指标对中心城区较短运距的地铁同样适用，但因地铁平均运距较短，客运强度与客流密度高度正相关。在系统梳理现有研究的基础上，提出以客流密度为核心、兼顾平均运距与时空收敛效益等多维度的市域快轨评价框架，并通过理论、实证与综合效益3个层面验证其客观性，提出四方面优化建议，为都市圈轨道交通规划审批、运营考核与高质量可持续发展提供理论支撑与参考。

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周晓勤，男，硕士，教授级高级工程师，主要从事城市轨道交通领域行业发展与政策研究、交通运输规划设计与运营管理工作，353520764@qq.com

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周晓勤，男，硕士，教授级高级工程师，主要从事城市轨道交通领域行业发展与政策研究、交通运输规划设计与运营管理工作，353520764@qq.com

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