Article(id=1281608109516898458, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.04.1651, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1765728000000, receivedDateStr=2025-12-15, revisedDate=1772121600000, revisedDateStr=2026-02-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488784436, onlineDateStr=2026-07-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488784436, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488784436, creator=13701087609, updateTime=1783488784436, updator=13701087609, issue=Issue{id=1281608054340829934, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='4', pageStart='1', pageEnd='286', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488771281, creator='13701087609', updateTime=1783588648031, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282026967885124001, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282026967885124002, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=235, endPage=243, ext={EN=ArticleExt(id=1281608109739196571, articleId=1281608109516898458, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Post-earthquake emergency supplies distribution route planning considering road conditions and demand urgency, columnId=1277328338121261909, journalTitle=China Safety Science Journal, columnName=Public Safety and Emergency Management, runingTitle=null, highlight=null, articleAbstract=

To enhance the efficiency of emergency supplies distribution after an earthquake, an emergency vehicle routing optimization problem was investigated under limited transportation capacity and the need to simultaneously deliver multiple categories of emergency supplies, while road conditions and demand urgency were jointly considered. Firstly, vehicle travel speeds were corrected based on road damage rates, and a demand urgency evaluation method is established by incorporating key characteristics of earthquake disasters. Then, a post-earthquake emergency supplies distribution optimization model was formulated to minimize the total delivery time and the total urgency-weighted demand cost, involving multiple depots, multiple affected sites, multiple types of emergency supplies, and heterogeneous vehicle fleets. Next, a HEA integrating the fast non-dominated sorting genetic algorithm (NSGA-II) with variable neighborhood search (VNS), is then designed to solve the model. Finally, a case study based on the 2008 Wenchuan (5.12) earthquake was constructed, and simulation experiments were conducted to validate the effectiveness and feasibility of the proposed model and algorithm. The results show that HEA outperforms three benchmark multi-objective optimization algorithms in both solution-set convergence and overall solution quality, and can provide emergency decision-makers with a diverse set of trade-off solutions within a short computation time (average 115.0 s).

, authors=Qixuan Sun1, Yang Liu**, 1, 2, Shun Jia1, Jifeng Lu2, Jun Tian3, authorsList=Qixuan Sun, Yang Liu, Shun Jia, Jifeng Lu, Jun Tian, authorCompany=null, correspAuthors=Yang 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=1281608110343176350, articleId=1281608109516898458, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=考虑路况与需求紧迫度的震后应急物资配送路径规划, 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=

为提升震后应急物资配送效率,在运力受限且需同时配送多类应急物资的条件下,综合考虑灾区道路状况与受灾点需求紧迫度,研究应急物资配送路径规划问题。首先,基于道路损毁率修正配送车辆行驶速度,并结合地震灾害特点建立需求紧迫度评价方法;然后,以总配送时间和总需求紧迫度成本最小为目标,构建包含多个配送中心、受灾点、应急物资类别与配送车辆类型的震后应急物资配送路径规划模型;其次,设计一种融合非支配排序遗传算法(NSGA-Ⅱ)和变邻域搜索算法(VNS)的混合进化算法(HEA)用于模型求解;最后,以“5·12”汶川地震为背景构造算例,验证模型和算法的有效性和可行性。结果表明:HEA在解集收敛性与求解质量方面均优于对比的3种多目标算法,可在短时间内(平均115.0 s)为应急决策者提供一组多样化的权衡方案。

, authors=孙启轩1, 刘阳副教授**, 1, 2, 贾顺教授1, 陆继锋教授2, 田军教授3, authorsList=孙启轩, 刘阳副教授, 贾顺教授, 陆继锋教授, 田军教授, authorCompany=null, correspAuthors=刘阳副教授, authorNote=

孙启轩(2001—),男,山东兰陵人,硕士研究生,主要研究方向为应急物流管理、系统建模与优化。E-mail:

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** 刘阳(1991—),男,山东沂水人,博士,副教授,主要从事应急管理、应急系统建模与优化、救灾物资逆向物流等方面的研究。E-mail:
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孙启轩(2001—),男,山东兰陵人,硕士研究生,主要研究方向为应急物流管理、系统建模与优化。E-mail:

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孙启轩(2001—),男,山东兰陵人,硕士研究生,主要研究方向为应急物流管理、系统建模与优化。E-mail:

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考虑路况与需求紧迫度的震后应急物资配送路径规划
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孙启轩 1 , 刘阳副教授 **, 1, 2 , 贾顺教授 1 , 陆继锋教授 2 , 田军教授 3
中国安全科学学报 | 公共安全与应急管理 2026,36(4): 235-243
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中国安全科学学报 |公共安全与应急管理 2026 , 36 (4) : 235 -243
考虑路况与需求紧迫度的震后应急物资配送路径规划
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孙启轩(2001—),男,山东兰陵人,硕士研究生,主要研究方向为应急物流管理、系统建模与优化。E-mail:

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孙启轩1 , 刘阳副教授**, 1, 2 , 贾顺教授1, 陆继锋教授2, 田军教授3
作者信息
  • 1山东科技大学 工业工程系,山东 青岛 266590
  • 2山东科技大学 公共安全与应急管理研究院,山东 青岛 266590
  • 3西安交通大学 管理学院,陕西 西安 710049
通讯作者:
** 刘阳(1991—),男,山东沂水人,博士,副教授,主要从事应急管理、应急系统建模与优化、救灾物资逆向物流等方面的研究。E-mail:
作者简介:

孙启轩(2001—),男,山东兰陵人,硕士研究生,主要研究方向为应急物流管理、系统建模与优化。E-mail:

Post-earthquake emergency supplies distribution route planning considering road conditions and demand urgency
Qixuan Sun1 , Yang Liu**, 1, 2 , Shun Jia1, Jifeng Lu2, Jun Tian3
Affiliations
  • 1Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao Shandong 266590, China
  • 2Institute of Public Safety and Emergency Management, Shandong University of Science and Technology, Qingdao Shandong 266590, China
  • 3School of Management, Xi'an Jiaotong University, Xi'an Shaanxi 710049, China
出版时间: 2026-04-28 doi: 10.16265/j.cnki.issn1003-3033.2026.04.1651
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为提升震后应急物资配送效率,在运力受限且需同时配送多类应急物资的条件下,综合考虑灾区道路状况与受灾点需求紧迫度,研究应急物资配送路径规划问题。首先,基于道路损毁率修正配送车辆行驶速度,并结合地震灾害特点建立需求紧迫度评价方法;然后,以总配送时间和总需求紧迫度成本最小为目标,构建包含多个配送中心、受灾点、应急物资类别与配送车辆类型的震后应急物资配送路径规划模型;其次,设计一种融合非支配排序遗传算法(NSGA-Ⅱ)和变邻域搜索算法(VNS)的混合进化算法(HEA)用于模型求解;最后,以“5·12”汶川地震为背景构造算例,验证模型和算法的有效性和可行性。结果表明:HEA在解集收敛性与求解质量方面均优于对比的3种多目标算法,可在短时间内(平均115.0 s)为应急决策者提供一组多样化的权衡方案。

应急物资  /  配送路径  /  道路损毁  /  需求紧迫度  /  混合进化算法(HEA)

To enhance the efficiency of emergency supplies distribution after an earthquake, an emergency vehicle routing optimization problem was investigated under limited transportation capacity and the need to simultaneously deliver multiple categories of emergency supplies, while road conditions and demand urgency were jointly considered. Firstly, vehicle travel speeds were corrected based on road damage rates, and a demand urgency evaluation method is established by incorporating key characteristics of earthquake disasters. Then, a post-earthquake emergency supplies distribution optimization model was formulated to minimize the total delivery time and the total urgency-weighted demand cost, involving multiple depots, multiple affected sites, multiple types of emergency supplies, and heterogeneous vehicle fleets. Next, a HEA integrating the fast non-dominated sorting genetic algorithm (NSGA-II) with variable neighborhood search (VNS), is then designed to solve the model. Finally, a case study based on the 2008 Wenchuan (5.12) earthquake was constructed, and simulation experiments were conducted to validate the effectiveness and feasibility of the proposed model and algorithm. The results show that HEA outperforms three benchmark multi-objective optimization algorithms in both solution-set convergence and overall solution quality, and can provide emergency decision-makers with a diverse set of trade-off solutions within a short computation time (average 115.0 s).

emergency supplies  /  delivery route  /  road damage  /  demand urgency  /  hybrid evolutionary algorithm (HEA)
孙启轩, 刘阳副教授, 贾顺教授, 陆继锋教授, 田军教授. 考虑路况与需求紧迫度的震后应急物资配送路径规划. 中国安全科学学报, 2026 , 36 (4) : 235 -243 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.1651
Qixuan Sun, Yang Liu, Shun Jia, Jifeng Lu, Jun Tian. Post-earthquake emergency supplies distribution route planning considering road conditions and demand urgency[J]. China Safety Science Journal, 2026 , 36 (4) : 235 -243 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.1651
  • 教育部人文社会科学研究项目(24YJC630144; 20YJC840021)
  • 山东省自然科学基金资助(ZR2023QG073)
  • 泰山学者工程专项经费资助(tsqnz20231221; tsqn202306202)
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doi: 10.16265/j.cnki.issn1003-3033.2026.04.1651
  • 接收时间:2025-12-15
  • 首发时间:2026-07-08
  • 出版时间:2026-04-28
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  • 收稿日期:2025-12-15
  • 修回日期:2026-02-27
基金
教育部人文社会科学研究项目(24YJC630144; 20YJC840021)
山东省自然科学基金资助(ZR2023QG073)
泰山学者工程专项经费资助(tsqnz20231221; tsqn202306202)
作者信息
    1山东科技大学 工业工程系,山东 青岛 266590
    2山东科技大学 公共安全与应急管理研究院,山东 青岛 266590
    3西安交通大学 管理学院,陕西 西安 710049

通讯作者:

** 刘阳(1991—),男,山东沂水人,博士,副教授,主要从事应急管理、应急系统建模与优化、救灾物资逆向物流等方面的研究。E-mail:
参考文献
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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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