Article(id=1282036097777635638, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282036038860255373, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.11.1151, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1749484800000, receivedDateStr=2025-06-10, revisedDate=1755446400000, revisedDateStr=2025-08-18, acceptedDate=null, acceptedDateStr=null, onlineDate=1783590824789, onlineDateStr=2026-07-09, pubDate=1764259200000, pubDateStr=2025-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783590824789, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783590824789, creator=13701087609, updateTime=1783590824789, 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=207, endPage=219, ext={EN=ArticleExt(id=1282036098041876791, articleId=1282036097777635638, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Location optimization of metro subway emergency rescue stations considering node importance, columnId=1149733268699918866, journalTitle=China Safety Science Journal, columnName=Emergency technology and management, runingTitle=null, highlight=null, articleAbstract=

In order to study the scientific and reasonable location selection of regional emergency rescue stations and base-level emergency rescue stations in the planning and construction stage of the subway network, firstly, the topology model of the subway network was constructed based on complex network theory. Relevant indicators were selected to construct the evaluation system of node importance, and GWR model was used to predict passenger flow to supplement the research data. Secondly, aiming at the highest efficiency, optimal coverage and lowest cost, the multi-objective location model of regional emergency rescue stations was established, and NSGA-Ⅱ algorithm was used to solve the optimal scheme. At the same time, a hybrid analysis calculation method was designed to solve the comprehensive importance value parameters of nodes in the model, and based on the site selection results of regional emergency rescue stations, the enumeration method was used to solve the optimal solution of base-level emergency rescue stations. Finally, Xi'an metro planning network was taken as an example to verify the calculation. The results show that compared with the optimal solution in the case of "no consideration of node importance", the regional location solution with "consideration of node importance" saves about 2.19% in cost, improves the rescue efficiency by about 9.43%, and exceeds the optimal solution with about 4.66% in coverage. Therefore, the location scheme of "considering node importance" is more in line with the actual needs of the subway network.

, authors=Bin LEI1, Yujin LI1, Na LI2, Wei LIU3, Linlin LUO3, Dongbo LEI3, authorsList=Bin LEI, Yujin LI, Na LI, Wei LIU, Linlin LUO, Dongbo LEI, 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=1282036098452918586, articleId=1282036097777635638, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑节点重要度的地铁应急救援站选址研究, columnId=1282036089120592135, journalTitle=中国安全科学学报, columnName=应急技术与工程, runingTitle=null, highlight=null, articleAbstract=

为探究地铁网络在规划建设阶段的区域级和基地级应急救援站科学合理选址问题,首先,基于复杂网络理论构建地铁网络拓扑结构模型,选取相关指标构建节点重要度的评估体系,利用地理加权回归模型(GWR)预测客流量以补充研究数据;其次,以效率最高、覆盖最优以及成本最低为目标建立区域级应急救援站的多目标选址模型,选用非支配排序遗传算法Ⅱ(NSGA-Ⅱ)求解最优方案;同时,设计一种混合分析计算方法,求解模型中节点的综合重要度值参数,并依托区域级应急救援站的选址结果,选用枚举法求解基地级应急救援站选址的最优方案;最后,以西安市地铁规划网络为例验证计算。结果表明:与“不考虑节点重要度”情况下的选址最优方案相比,“考虑节点重要度”的区域级选址方案成本节省约2.19%,救援效率提高约9.43%,覆盖程度优胜约4.66%,故“考虑节点重要度”的选址方案更符合地铁网络的实际需求。

, authors=雷斌教授1, 李宇锦1, 李娜2, 刘伟3, 罗林林3, 雷东波3, authorsList=雷斌教授, 李宇锦, 李娜, 刘伟, 罗林林, 雷东波, authorCompany=null, correspAuthors=null, authorNote=

雷斌(1978—),男,陕西榆林人,博士,教授,主要从事道路与城市轨道交通工程等方面的研究。E-mail:

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雷斌(1978—),男,陕西榆林人,博士,教授,主要从事道路与城市轨道交通工程等方面的研究。E-mail:

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雷斌(1978—),男,陕西榆林人,博士,教授,主要从事道路与城市轨道交通工程等方面的研究。E-mail:

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考虑节点重要度的地铁应急救援站选址研究
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雷斌教授 1 , 李宇锦 1 , 李娜 2 , 刘伟 3 , 罗林林 3 , 雷东波 3
中国安全科学学报 | 应急技术与工程 2025,35(11): 207-219
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中国安全科学学报 |应急技术与工程 2025 , 35 (11) : 207 -219
考虑节点重要度的地铁应急救援站选址研究
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雷斌教授1 , 李宇锦1, 李娜2, 刘伟3, 罗林林3, 雷东波3
作者信息
  • 1西安建筑科技大学 城市发展与现代交通学院,陕西 西安 710055
  • 2西安汽车职业大学 轨道交通学院,陕西 西安 710600
  • 3西安市轨道交通集团有限公司 运营分公司,陕西 西安 710018
作者简介:

雷斌(1978—),男,陕西榆林人,博士,教授,主要从事道路与城市轨道交通工程等方面的研究。E-mail:

Location optimization of metro subway emergency rescue stations considering node importance
Bin LEI1 , Yujin LI1, Na LI2, Wei LIU3, Linlin LUO3, Dongbo LEI3
Affiliations
  • 1College of Urban Development and Modern Transportation, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
  • 2College of Rail Transit, Xi'an Vocational University of Automobile, Xi'an Shaanxi 710600, China
  • 3Xi'an Rail Transit Group Co., Ltd., Operating Branch, Xi'an Shaanxi 710018, China
出版时间: 2025-11-28 doi: 10.16265/j.cnki.issn1003-3033.2025.11.1151
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为探究地铁网络在规划建设阶段的区域级和基地级应急救援站科学合理选址问题,首先,基于复杂网络理论构建地铁网络拓扑结构模型,选取相关指标构建节点重要度的评估体系,利用地理加权回归模型(GWR)预测客流量以补充研究数据;其次,以效率最高、覆盖最优以及成本最低为目标建立区域级应急救援站的多目标选址模型,选用非支配排序遗传算法Ⅱ(NSGA-Ⅱ)求解最优方案;同时,设计一种混合分析计算方法,求解模型中节点的综合重要度值参数,并依托区域级应急救援站的选址结果,选用枚举法求解基地级应急救援站选址的最优方案;最后,以西安市地铁规划网络为例验证计算。结果表明:与“不考虑节点重要度”情况下的选址最优方案相比,“考虑节点重要度”的区域级选址方案成本节省约2.19%,救援效率提高约9.43%,覆盖程度优胜约4.66%,故“考虑节点重要度”的选址方案更符合地铁网络的实际需求。

应急救援站选址  /  节点重要度  /  地铁系统  /  地理加权回归模型(GWR)  /  非支配排序遗传算法Ⅱ(NSGA-Ⅱ)

In order to study the scientific and reasonable location selection of regional emergency rescue stations and base-level emergency rescue stations in the planning and construction stage of the subway network, firstly, the topology model of the subway network was constructed based on complex network theory. Relevant indicators were selected to construct the evaluation system of node importance, and GWR model was used to predict passenger flow to supplement the research data. Secondly, aiming at the highest efficiency, optimal coverage and lowest cost, the multi-objective location model of regional emergency rescue stations was established, and NSGA-Ⅱ algorithm was used to solve the optimal scheme. At the same time, a hybrid analysis calculation method was designed to solve the comprehensive importance value parameters of nodes in the model, and based on the site selection results of regional emergency rescue stations, the enumeration method was used to solve the optimal solution of base-level emergency rescue stations. Finally, Xi'an metro planning network was taken as an example to verify the calculation. The results show that compared with the optimal solution in the case of "no consideration of node importance", the regional location solution with "consideration of node importance" saves about 2.19% in cost, improves the rescue efficiency by about 9.43%, and exceeds the optimal solution with about 4.66% in coverage. Therefore, the location scheme of "considering node importance" is more in line with the actual needs of the subway network.

location of emergency rescue stations  /  node importance  /  subway system  /  geographic weighted regression (GWR)  /  non-dominated sorting genetic algorithm-II (NSGA-Ⅱ)
雷斌教授, 李宇锦, 李娜, 刘伟, 罗林林, 雷东波. 考虑节点重要度的地铁应急救援站选址研究. 中国安全科学学报, 2025 , 35 (11) : 207 -219 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.1151
Bin LEI, Yujin LI, Na LI, Wei LIU, Linlin LUO, Dongbo LEI. Location optimization of metro subway emergency rescue stations considering node importance[J]. China Safety Science Journal, 2025 , 35 (11) : 207 -219 . DOI: 10.16265/j.cnki.issn1003-3033.2025.11.1151
  • 陕西省重点研发计划项目(2025SF-YBXM-142)
  • 陕西省交通科技项目(20-05R)
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2025年第35卷第11期
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doi: 10.16265/j.cnki.issn1003-3033.2025.11.1151
  • 接收时间:2025-06-10
  • 首发时间:2026-07-09
  • 出版时间:2025-11-28
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  • 收稿日期:2025-06-10
  • 修回日期:2025-08-18
基金
陕西省重点研发计划项目(2025SF-YBXM-142)
陕西省交通科技项目(20-05R)
作者信息
    1西安建筑科技大学 城市发展与现代交通学院,陕西 西安 710055
    2西安汽车职业大学 轨道交通学院,陕西 西安 710600
    3西安市轨道交通集团有限公司 运营分公司,陕西 西安 710018
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2种不同金属材料的力学参数

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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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