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Article(id=1308453955890082756, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2026.01.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1736438400000, receivedDateStr=2025-01-10, revisedDate=1761494400000, revisedDateStr=2025-10-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1789889332983, onlineDateStr=2026-09-20, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789889332983, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789889332983, creator=13701087609, updateTime=1789889332983, updator=13701087609, issue=Issue{id=1308453947069452650, tenantId=1146029695717560320, journalId=1146123302524792850, year='2026', volume='39', issue='1', pageStart='1', pageEnd='165', issueExtLink='null', onlineDate='null', pubDate='1770652800000', pubDateStr='2026-02-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789889330879, creator='13701087609', updateTime=1789889788596, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308455866915639450, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308455866915639451, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1308453947069452650, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=34, endPage=46, ext={EN=ArticleExt(id=1308453956464702405, articleId=1308453955890082756, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Research Progress on Evacuation Issues in Underground Spaces of Subway Stations, columnId=1152669340382966151, journalTitle=Urban Rapid Rail Transit, columnName=Forum of Rapid Rail Transit, runingTitle=null, highlight=null, articleAbstract=

In view of the difficulties in emergency evacuation caused by the increasing complexity of underground spaces in subway stations, and based on an extensive review of domestic and international literature, this paper first analyzes the evacuation characteristics and common features of different types of underground spaces, It examines evacuation scenarios, pedestrian behavior, and evacuation analysis methods in disaster contexts, and summarizes the evacuation behavior traits across station types. Secondly, the study delves into recent advancements in evacuation experiments and simulation technologies, covering physical and simulated experiments, including core algorithms, simulation processes, and inherent limitations of mainstream simulation platforms. It also highlights the impact of spatial features on simulation experiments and identifies current research hotspots. Finally, focusing on layout and path optimization for evacuation, the paper explores related methodologies and practical applications. On this basis, it points out that existing research is predominantly centered on theoretical modeling and quantitative analysis, with a lack of field validation that limits practical effectiveness. There is also a deficiency in interdisciplinary integration, especially concerning psychological and social dynamics of crowd behavior, which constrains the effectiveness of evacuation strategies in emergency practice. Therefore, the study suggests enhancing model realism through virtual reality, big data, and artificial intelligence technologies to improve simulation accuracy; and encourages interdisciplinary collaboration among psychology, sociology, urban planning, and safety engineering to comprehensively analyze crowd evacuation behaviors in different types of underground spaces in subway stations during emergencies, thereby providing a solid theoretical foundation and practical reference for future research.

, authors=Xiaochun HONG1, 2, Lian CHEN1, Ping SUN2, 3, Jie DONG2, 3, authorsList=Xiaochun HONG, Lian CHEN, Ping SUN, Jie DONG, 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=1308453956812829638, articleId=1308453955890082756, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=地铁车站地下空间疏散问题研究进展, columnId=1152669340680761737, journalTitle=都市快轨交通, columnName=快轨论坛, runingTitle=null, highlight=null, articleAbstract=

针对地铁车站地下空间日益复杂带来的突发事件疏散难题，在梳理国内外相关文献的基础上，首先分析不同类型地铁车站地下空间的疏散特性与共性，探讨灾害情境下的疏散场景、行人行为特征和疏散分析方法，并总结各类车站的疏散行为特征。其次，从实体实验、模拟实验到疏散仿真技术，深入剖析疏散实验的最新动态，包括主流模拟平台的核心算法、仿真流程及其局限性，归纳空间特征对仿真实验的影响和研究热点。最后，围绕疏散布局与路径优化，阐述相关方法论及应用实践。在此基础上，指出现有研究主要集中于理论模拟和定量分析，缺乏实地验证，制约实际应用效果，且在人群行为心理和社会动态等跨学科整合上有所欠缺，导致疏散策略在应急实践中存在局限性。为此，建议深化模型真实性，借助虚拟现实、大数据和人工智能技术，提高仿真精确性；加强心理学、社会学和安全工程等跨学科合作，全面分析不同类型地铁车站地下空间突发事件中的人群疏散行为，为后续研究提供理论支撑和实践参考。

, authors=洪小春1, 2, 陈炼1, 孙萍2, 3, 董杰2, 3, authorsList=洪小春, 陈炼, 孙萍, 董杰, authorCompany=null, correspAuthors=null, authorNote=

洪小春，男，博士，讲师，从事城市地下空间规划与地下建筑设计理论与方法、整合的建筑设计理论与方法等研究，

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洪小春，男，博士，讲师，从事城市地下空间规划与地下建筑设计理论与方法、整合的建筑设计理论与方法等研究，

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地铁车站地下空间疏散问题研究进展
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洪小春 1, 2 , 陈炼 1 , 孙萍 2, 3 , 董杰 2, 3
都市快轨交通 | 快轨论坛 2026,39(1): 34-46
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都市快轨交通 |快轨论坛 2026 , 39 (1) : 34 -46
地铁车站地下空间疏散问题研究进展
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2．自然资源部滨海城市地下空间地质安全重点实验室，山东 青岛 266101, bio={"content":"

洪小春，男，博士，讲师，从事城市地下空间规划与地下建筑设计理论与方法、整合的建筑设计理论与方法等研究，

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洪小春，男，博士，讲师，从事城市地下空间规划与地下建筑设计理论与方法、整合的建筑设计理论与方法等研究，

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洪小春1, 2 , 陈炼1, 孙萍2, 3, 董杰2, 3
作者信息
  • 1．扬州大学土木与交通学院，江苏 扬州 225127
  • 2．自然资源部滨海城市地下空间地质安全重点实验室，山东 青岛 266101
  • 3．青岛地质工程勘察院（青岛地质勘查开发局），山东 青岛 266101
作者简介:

洪小春，男，博士，讲师，从事城市地下空间规划与地下建筑设计理论与方法、整合的建筑设计理论与方法等研究，

Research Progress on Evacuation Issues in Underground Spaces of Subway Stations
Xiaochun HONG1, 2 , Lian CHEN1, Ping SUN2, 3, Jie DONG2, 3
Affiliations
  • 1.School of Civil Engineering and Transportation, Yangzhou University, Yangzhou, Jiangsu, 225127
  • 2.Key Laboratory of Geological Safety of Coastal Urban Underground Space, Ministry of Natural Resources, Qingdao, Shandong, 266101
  • 3.Qingdao Geo-Engineering surveying Institute (Qingdao Geological Exploration Development Bureau), Qingdao, Shandong 266101
doi: 10.3969/j.issn.1672-6073.2026.01.005
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针对地铁车站地下空间日益复杂带来的突发事件疏散难题，在梳理国内外相关文献的基础上，首先分析不同类型地铁车站地下空间的疏散特性与共性，探讨灾害情境下的疏散场景、行人行为特征和疏散分析方法，并总结各类车站的疏散行为特征。其次，从实体实验、模拟实验到疏散仿真技术，深入剖析疏散实验的最新动态，包括主流模拟平台的核心算法、仿真流程及其局限性，归纳空间特征对仿真实验的影响和研究热点。最后，围绕疏散布局与路径优化，阐述相关方法论及应用实践。在此基础上，指出现有研究主要集中于理论模拟和定量分析，缺乏实地验证，制约实际应用效果，且在人群行为心理和社会动态等跨学科整合上有所欠缺，导致疏散策略在应急实践中存在局限性。为此，建议深化模型真实性，借助虚拟现实、大数据和人工智能技术，提高仿真精确性；加强心理学、社会学和安全工程等跨学科合作，全面分析不同类型地铁车站地下空间突发事件中的人群疏散行为，为后续研究提供理论支撑和实践参考。

地铁车站  /  地下空间  /  应急疏散  /  疏散仿真  /  路径优化

In view of the difficulties in emergency evacuation caused by the increasing complexity of underground spaces in subway stations, and based on an extensive review of domestic and international literature, this paper first analyzes the evacuation characteristics and common features of different types of underground spaces, It examines evacuation scenarios, pedestrian behavior, and evacuation analysis methods in disaster contexts, and summarizes the evacuation behavior traits across station types. Secondly, the study delves into recent advancements in evacuation experiments and simulation technologies, covering physical and simulated experiments, including core algorithms, simulation processes, and inherent limitations of mainstream simulation platforms. It also highlights the impact of spatial features on simulation experiments and identifies current research hotspots. Finally, focusing on layout and path optimization for evacuation, the paper explores related methodologies and practical applications. On this basis, it points out that existing research is predominantly centered on theoretical modeling and quantitative analysis, with a lack of field validation that limits practical effectiveness. There is also a deficiency in interdisciplinary integration, especially concerning psychological and social dynamics of crowd behavior, which constrains the effectiveness of evacuation strategies in emergency practice. Therefore, the study suggests enhancing model realism through virtual reality, big data, and artificial intelligence technologies to improve simulation accuracy; and encourages interdisciplinary collaboration among psychology, sociology, urban planning, and safety engineering to comprehensively analyze crowd evacuation behaviors in different types of underground spaces in subway stations during emergencies, thereby providing a solid theoretical foundation and practical reference for future research.

subway station  /  underground space  /  emergency evacuation  /  evacuation simulation  /  path optimization
洪小春, 陈炼, 孙萍, 董杰. 地铁车站地下空间疏散问题研究进展. 都市快轨交通, 2026 , 39 (1) : 34 -46 . DOI: 10.3969/j.issn.1672-6073.2026.01.005
Xiaochun HONG, Lian CHEN, Ping SUN, Jie DONG. Research Progress on Evacuation Issues in Underground Spaces of Subway Stations[J]. Urban Rapid Rail Transit, 2026 , 39 (1) : 34 -46 . DOI: 10.3969/j.issn.1672-6073.2026.01.005
基金
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  • 国家自然科学基金(52508041)
  • 2024年度自然资源部滨海城市地下空间地质安全重点实验室开放基金课题(BHKF2024Z02)
  • 2025年度江苏省基础研究计划（江苏省自然科学基金青年项目）(BK20250902)
  • 2025年度江苏省高校哲学社会科学研究项目(2025SJYB1534)
  • 2024年度江苏省科协青年科技人才托举工程(JSTJ-2024-240)
  • 2024年度江苏省高等学校基础科学（自然科学）研究面上项目(24KJB560025)
  • 2024年度扬州大学人文社会科学研究基金项目(xjj2024-35)
  • 2023年江苏省产学研合作项目(BY20231316)
  • 江苏建筑节能与建造技术协同创新中心重大研究基金计划项目课题(SJXTZD21051)
  • 国家重点研发项目子课题(2018YFC0704903-03)
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doi: 10.3969/j.issn.1672-6073.2026.01.005
  • 接收时间：2025-01-10
  • 首发时间：2026-09-20
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出版历史
  • 收稿日期：2025-01-10
  • 修回日期：2025-10-27
基金
国家自然科学基金(52508041)
2024年度自然资源部滨海城市地下空间地质安全重点实验室开放基金课题(BHKF2024Z02)
2025年度江苏省基础研究计划（江苏省自然科学基金青年项目）(BK20250902)
2025年度江苏省高校哲学社会科学研究项目(2025SJYB1534)
2024年度江苏省科协青年科技人才托举工程(JSTJ-2024-240)
2024年度江苏省高等学校基础科学（自然科学）研究面上项目(24KJB560025)
2024年度扬州大学人文社会科学研究基金项目(xjj2024-35)
2023年江苏省产学研合作项目(BY20231316)
江苏建筑节能与建造技术协同创新中心重大研究基金计划项目课题(SJXTZD21051)
国家重点研发项目子课题(2018YFC0704903-03)
作者信息
    1．扬州大学土木与交通学院，江苏 扬州 225127
    2．自然资源部滨海城市地下空间地质安全重点实验室，山东 青岛 266101
    3．青岛地质工程勘察院（青岛地质勘查开发局），山东 青岛 266101
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https://castjournals.cast.org.cn/joweb/dskgjt/CN/10.3969/j.issn.1672-6073.2026.01.005
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2种不同金属材料的力学参数
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Family		 属数
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Number of
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Percentage of
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Genus		 种数
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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