Article(id=1281685530689639368, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.06.1098, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739980800000, receivedDateStr=2025-02-20, revisedDate=1745337600000, revisedDateStr=2025-04-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1783507243082, onlineDateStr=2026-07-08, pubDate=1751040000000, pubDateStr=2025-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783507243082, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783507243082, creator=13701087609, updateTime=1783507243082, 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=223, endPage=231, ext={EN=ArticleExt(id=1281685530962269129, articleId=1281685530689639368, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=An optimization method of emergency evacuation signage layout considering pedestrian perceptual behavior, columnId=1149733268699918866, journalTitle=China Safety Science Journal, columnName=Emergency technology and management, runingTitle=null, highlight=null, articleAbstract=

In order to solve the problem of low guidance efficiency of emergency evacuation signs, a layout optimization method of emergency evacuation signs considering pedestrian perceptual behavior was proposed. Firstly, the recognizable range and probability distribution of the signs were investigated to establish a model of pedestrians' perceptual behavior towards the signs; secondly, a layout optimization model was constructed considering the number, location and orientation of the signs by combining it with the distribution of the guidance demand in the multi-exit space; finally, a case study of a cruise ship was used, where a genetic algorithm is applied to solve the problem. The evacuation efficiency, both before and after the optimization of the signage layout, was evaluated through microscopic crowd evacuation simulation, respectively. The results show that the average evacuation time under the optimized layout is 10.3% shorter than that under the unoptimized layout when the pedestrians are randomly distributed at the initial position; the average evacuation time is 4.2% shorter under the scenario simulating the actual evacuation process, and the number of pedestrians guided to different destinations is more balanced.

, authors=Weiming HE^{1, 2, 3}, Shaobo LIU^{**, 1, 2, 3}, Jing HE⁴, Shuting BI^{1, 2, 3}, authorsList=Weiming HE, Shaobo LIU, Jing HE, Shuting BI, authorCompany=null, correspAuthors=Shaobo LIU, 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=1281685531918570444, articleId=1281685530689639368, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑行人感知行为的应急疏散标志布局优化方法, columnId=1149733268855108116, journalTitle=中国安全科学学报, columnName=应急技术与管理, runingTitle=null, highlight=null, articleAbstract=

为解决应急疏散标志引导效率低下的问题，提出一种考虑行人感知行为的应急疏散标志布局优化方法。首先，探究标志的可识别范围和感知概率分布，建立行人对标志的感知行为模型；其次，结合多出口空间内的引导需求分布，构建考虑标志数量、位置和朝向的布局优化模型；最后，以某邮轮局部为案例，采用遗传算法进行求解，并通过人群疏散微观仿真分别评估标志布局优化前后的疏散效率。结果表明：行人初始位置随机分布时，与未优化布局相比优化布局下的平均疏散时间缩短10.3%；模拟实际疏散过程的场景下平均疏散时间缩短4.2%，且引导至不同目的地的行人数量更均衡。

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何伟铭（1996—），男，湖北监利人，硕士研究生，研究方向为应急疏散。E-mail: heweiming@whut.edu.cn。

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何伟铭（1996—），男，湖北监利人，硕士研究生，研究方向为应急疏散。E-mail: heweiming@whut.edu.cn。

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