Article(id=1281608135508996252, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.03.0548, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1761408000000, receivedDateStr=2025-10-26, revisedDate=1767888000000, revisedDateStr=2026-01-09, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488790633, onlineDateStr=2026-07-08, pubDate=1774627200000, pubDateStr=2026-03-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488790633, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488790633, creator=13701087609, updateTime=1783488790633, updator=13701087609, issue=Issue{id=1281608117335068953, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='3', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1774627200000', pubDateStr='2026-03-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488786300, creator='13701087609', updateTime=1783588670896, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027063758533259, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027063758533260, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608117335068953, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=178, endPage=185, ext={EN=ArticleExt(id=1281608135718711453, articleId=1281608135508996252, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Evacuation path numerical simulation for occupants in single-story building fires, columnId=1277328338121261909, journalTitle=China Safety Science Journal, columnName=Public Safety and Emergency Management, runingTitle=null, highlight=null, articleAbstract=

To address the low efficiency and safety of personnel evacuation in fire scenarios amid China's accelerating urbanisation and the increasing number of densely populated venues, a single-story building fire evacuation model based on the A^* algorithm was developed. A grid-based model was introduced and combined with the PSO algorithm to comprehensively account for multiple complex factors influencing the evacuation process, including smoke concentration, high-temperature environments, hazardous gas dispersion, and personnel density. Based on the single-story building fire evacuation model, multivariate functional relationships were used to quantify the influence coefficients of various factors on personnel movement velocity, thereby achieving a precise description of the evacuation process. During numerical simulation experiments, the performance of the original and improved A^* algorithms was compared across scenarios with varying occupant numbers within the building. The results indicate that compared to the traditional A^* algorithm, the improved model reduces evacuation time by 20.9% and path length by 3.27%. It can effectively prevent evacuation paths from falling into local optima and avoid occupants entering dead ends.

, authors=Xiaolei ZHANG^{1, 2}, authorsList=Xiaolei ZHANG, 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=1281608135995535518, articleId=1281608135508996252, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于单层建筑火灾的人员逃生疏散路径数值模拟, columnId=1277328338280645463, journalTitle=中国安全科学学报, columnName=公共安全与应急管理, runingTitle=null, highlight=null, articleAbstract=

为解决我国城市化进程不断加速、人员密集场所日益增多的背景下，单层建筑火灾场景中人员疏散逃生高效性与安全性较低的问题，针对传统火灾疏散路径规划在效率与合理性方面的不足，构建基于A^*算法的单层建筑火灾人员疏散模型；引入栅格化建模，并结合粒子群优化（PSO）算法，综合考虑烟雾浓度、高温环境、有害气体扩散以及人员密度等多重复杂因素对疏散过程的影响；基于建立的单层建筑火灾人员疏散模型，运用多变量函数关系量化各因素对人员移动速度的影响系数，从而实现对疏散过程的精准描述；开展数值模拟试验中，通过设置建筑内不同人数的工况，对比分析改进前后A^*算法的性能差异。研究结果表明：相较于传统A^*算法，改进模型在疏散时间上缩短20.9%，路径长度减少3.27%，可有效避免疏散路径陷入局部最优解以及人员误入死胡同等问题。

, authors=张晓蕾高级工程师^{1, 2}, authorsList=张晓蕾高级工程师, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=7kPzNFZ4U6ROeJ6v01FFKw==, magXml=UQ89ALu0r3CPFVdf3MvTDg==, pdfUrl=null, pdf=V4szX+8fsPrerP+SfHoLlg==, pdfFileSize=8731193, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=Ih2oy5d5mgVRn73kzK2XQA==, mapNumber=null, fund=null)}, authors=[Author(id=1281608136343662758, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608135508996252, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=zhangxl@chinasafety.ac.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281608136456908969, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608135508996252, authorId=1281608136343662758, language=EN, stringName=Xiaolei ZHANG, firstName=Xiaolei, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹China Academy of Safety Science and Technology, Beijing 100012, China
²School of Emergency Management and Safety Engineering, China University of Mining and Technology(Beijing), Beijing 100083, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1281608136553377962, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281608135508996252, authorId=1281608136343662758, language=CN, stringName=张晓蕾高级工程师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹中国安全生产科学研究院，北京 100012
²中国矿业大学（北京） 应急管理与安全工程学院，北京 100083, bio={"content":"

张晓蕾（1984—），女，山西大同人，博士研究生，高级工程师，主要研究方向为安全生产与应急救援理论与技术。E-mail: zhangxl@chinasafety.ac.cn。

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张晓蕾（1984—），女，山西大同人，博士研究生，高级工程师，主要研究方向为安全生产与应急救援理论与技术。E-mail: zhangxl@chinasafety.ac.cn。

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