Article(id=1281685559173165110, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.06.0286, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1738944000000, receivedDateStr=2025-02-08, revisedDate=1744646400000, revisedDateStr=2025-04-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1783507249873, onlineDateStr=2026-07-08, pubDate=1751040000000, pubDateStr=2025-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783507249873, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783507249872, creator=13701087609, updateTime=1783507249872, 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=174, endPage=180, ext={EN=ArticleExt(id=1281685559387074615, articleId=1281685559173165110, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Virtual experiment study on route choice behavior under influence of smoke level, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=

To investigate the influence mechanisms of smoke environments on pedestrian's evacuation route choice behavior during fires and toxic gas leakages, and to overcome the research challenges posed by ethical constraints that make real-life human experiments difficult to conduct, in this paper, a virtual evacuation experiment platform was constructed. In order to study the influence of smoke level and route length on evacuees' route choice behavior, a single-player route choice experiment was designed and carried out under the influence of smoke, taking into account the pedestrian's speed difference under different smoke scenes in real life. Results indicate that both smoke level and route length have significant influence on evacuees' evacuation route choice behavior. The evacuees prefer to choose the route with lower smoke levels and shorter length. The results of the binary logistic regression model show that compared with the route length (Odds Ratio, OR=15.516), the smoke level (OR=45.475) has a greater influence on the route choice of evacuees. However, a small number of evacuees took a risk, that is, choosing a route with higher smoke levels for evacuation. The post-experiment questionnaire results demonstrated that participants could experience a reasonably authentic evacuation process in smoke-filled environments within the virtual reality scenarios, indicating high levels of validity and reliability for the study.

, authors=Chengbo CUI¹, Ruoyu LI¹, Juan CHEN^{**, 2}, Qiao WANG¹, Jian MA¹, authorsList=Chengbo CUI, Ruoyu LI, Juan CHEN, Qiao WANG, Jian MA, authorCompany=null, correspAuthors=Juan CHEN, 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=1281685559898779706, articleId=1281685559173165110, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=烟雾影响下疏散路径选择行为虚拟试验研究, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=

为研究火灾及有毒气体泄漏事故中烟雾环境对人员路径选择行为的影响机制，克服因伦理道德限制难以开展真人实景试验的研究困境，通过搭建虚拟疏散试验平台，设计开展烟雾影响下的路径选择试验，将人员在现实生活中不同烟雾场景下的运动速度引入虚拟环境，研究烟雾水平及路径长度对疏散人员路径选择行为的影响。结果表明：烟雾水平和路径长度对被试的疏散路径选择行为均有显著影响，被试更倾向于选择烟雾水平较低、路径长度较短的路径，由二元logistic回归模型结果可知，与路径长度（优势比OR=15.516）相比，烟雾水平（OR=45.475）对被试路径选择的影响更大，但也出现了极少数被试选择高烟雾水平路径的冒险行为。试验后的问卷调查结果显示被试在虚拟环境中可以比较真实的体验烟雾环境下的疏散过程，研究信效度高。

, authors=崔成博¹, 李若愚¹, 陈娟副教授^{**, 2}, 王巧助教¹, 马剑教授¹, authorsList=崔成博, 李若愚, 陈娟副教授, 王巧助教, 马剑教授, authorCompany=null, correspAuthors=陈娟副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=enZAgq1Y8ejtJ4k9jcOE9Q==, magXml=tU+bHE865o1wCzSX44KW8g==, pdfUrl=null, pdf=FSYvKNLSwDeXIUC2kUIzEw==, pdfFileSize=3373129, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=EwmLVFQl4Du3ZKItupMvtw==, mapNumber=null, fund=null)}, authors=[Author(id=1281685560255295554, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685559173165110, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=cuichengbo@my.swjtu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281685560334987332, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685559173165110, authorId=1281685560255295554, language=EN, stringName=Chengbo CUI, firstName=Chengbo, middleName=null, lastName=CUI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281685560402096197, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281685559173165110, authorId=1281685560255295554, language=CN, stringName=崔成博, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹西南交通大学 交通运输与物流学院，四川 成都 610031, bio={"content":"

崔成博（1997—），男，山西晋中人，硕士，主要从事人员疏散、虚拟试验方面的研究。E-mail: cuichengbo@my.swjtu.edu.cn。

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崔成博（1997—），男，山西晋中人，硕士，主要从事人员疏散、虚拟试验方面的研究。E-mail: cuichengbo@my.swjtu.edu.cn。

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