Article(id=1282036088806019333, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.0961, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749225600000, receivedDateStr=2025-06-07, revisedDate=1754755200000, revisedDateStr=2025-08-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590822650, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590822650, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590822650, creator=13701087609, updateTime=1783590822650, updator=13701087609, issue=Issue{id=1282036038860255373, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='11', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1764259200000', pubDateStr='2025-11-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783590810742, creator='13701087609', updateTime=1783593801313, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048582291276616, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048582295470921, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=228, endPage=235, ext={EN=ArticleExt(id=1282036089045094662, articleId=1282036088806019333, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Emergency bus evacuation planning considering transfer urgency, columnId=1149733268699918866, journalTitle=China Safety Science Journal, columnName=Emergency technology and management, runingTitle=null, highlight=null, articleAbstract=

In order to realize scientific and efficient post-disaster transfer of the population after the occurrence of major natural disasters, the emergency bus evacuation planning considering the transfer urgency was studied according to the different severity of the disaster. Firstly, a continuous emergency bus evacuation model was established with the goal of minimizing the evacuation completion time and evacuation delay satisfaction degree. Secondly, a HS-GA based on transfer urgency coding was designed and applied for problem-solving, and the effectiveness of the algorithm was verified using examples of different scales. Finally, the evacuation planning considering the transfer urgency was compared with those without considering the transfer urgency based on the case. The results show that the HS-GA is better than Genetic Algorithm (GA) and Neighborhood Search GA (NS-GA). According to the case solved by HS-GA, a comparison is made with evacuation planning that does not consider transfer urgency. When transfer urgency is considered, the evacuation delay dissatisfaction degree is reduced by 51.4%. Additionally, shorter evacuation completion times are observed at both Class I and Class II disaster sites. The average time taken to arrive at the shelter is also found to be shorter. At the same time, the dissatisfaction degrees of evacuation delay considering the urgency of transfer under different emergency bus quantity are all lower. The evacuation model considers the evacuation priority of the hard-hit areas under different severity of the disaster, and can make reasonable dispatch arrangements under the circumstance of limited rescue vehicles, which is more objective and in line with the actual situation.

, authors=Na CHEN¹, Shiwei PAN¹, Xiangnan QIN^{**, 2}, Jun LIU³, authorsList=Na CHEN, Shiwei PAN, Xiangnan QIN, Jun LIU, authorCompany=null, correspAuthors=Xiangnan QIN, 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=1282036089644880138, articleId=1282036088806019333, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑转移紧迫度的应急公交疏散方案, columnId=1282036089120592135, journalTitle=中国安全科学学报, columnName=应急技术与工程, runingTitle=null, highlight=null, articleAbstract=

为实现重大自然灾害事件发生后人群科学、高效的灾后转移，针对受灾点的灾情严重程度不同，开展考虑转移紧迫度的应急公交车辆疏散方案研究。首先，建立以疏散完成时间、疏散延迟不满意度最小化为目标的连续运行应急公交车辆疏散模型；其次，设计并运用基于转移紧迫度编码的和声搜索遗传算法（HS-GA）进行求解，依据不同规模算例验证算法的有效性；最后，基于案例将考虑转移紧迫度与不考虑转移紧迫度的疏散方案进行对比。研究结果表明：文中设计的HS-GA与遗传算法（GA）和邻域搜索GA（NS-GA）相比效果更好；由HS-GA求解案例得出，相比于不考虑转移紧迫度，考虑转移紧迫度的疏散方案疏散完成时间更短，且疏散延迟不满意度减少51.4%，I级、II级受灾点的疏散完成时间及到达避难所平均时间均更短，同时，不同应急公交数量下考虑转移紧迫度方案的疏散延迟不满意度也始终更低。疏散模型考虑灾情严重程度不同下重灾区疏散的优先性，在救援车辆有限的情况下可以进行合理的调度安排，更加客观和符合实际情况。

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陈娜（1981—），女，河南南阳人，博士，副教授，主要从事应急管理、安全人机等方面的研究。E-mail: nchen@zzu.edu.cn。

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陈娜（1981—），女，河南南阳人，博士，副教授，主要从事应急管理、安全人机等方面的研究。E-mail: nchen@zzu.edu.cn。

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潘士伟（1999—），男，江苏连云港人，硕士研究生，研究方向为应急疏散。E-mail: psw@gs.zzu.edu.cn。

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潘士伟（1999—），男，江苏连云港人，硕士研究生，研究方向为应急疏散。E-mail: psw@gs.zzu.edu.cn。

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