Article(id=1282030072248910451, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.1600, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744732800000, receivedDateStr=2025-04-16, revisedDate=1749657600000, revisedDateStr=2025-06-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589388190, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589388190, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589388190, creator=13701087609, updateTime=1783589388190, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=148, endPage=155, ext={EN=ArticleExt(id=1282030072500568692, articleId=1282030072248910451, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Social risk assessment of Three Gorges lock scheduling mode based on SNA-BN, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

To enhance the intelligent level and risk-bearing capacity of three gorges locks, first, SNA was used for stakeholder identification and extraction for Three Gorges lock reservation scheduling. Stakeholder network characteristics were characterized by three centrality indicators: degree centrality, betweenness centrality, and closeness centrality. An assessment index system was construct from four dimensions: legality, rationality, feasibility and controllability. Then, based on the potential coupling relationship between the indicators, a BN was used to construct a social risk assessment model for the Three Gorges lock reservation and scheduling mode to quantify the direction and intensity of the role of each indicator. Finally, key factors affecting social stability were identified through a sensitivity analysis. The results show that the social risk level under the scheduling mode of the Three Gorges lock is low. The order of influence of the four first-level indicators on the overall social risk is legality, controllability, feasibility, and rationality. The compliance with rule revision, approval, and issuance, the vulnerability of negative public opinion, the vulnerability of mass incidents, the success rate of appointment, and the coverage of security management strategy are the key factors affecting the overall social risk.

, authors=Rong LI^{1, 2}, Qing LIU^{1, 3}, Lei WANG^{**, 1, 3}, Yue ZHONG¹, Yufeng LAN⁴, Hang NAN⁴, authorsList=Rong LI, Qing LIU, Lei WANG, Yue ZHONG, Yufeng LAN, Hang NAN, authorCompany=null, correspAuthors=Lei WANG, 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=1282030073003885175, articleId=1282030072248910451, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于SNA-BN的三峡船闸预约调度模式社会风险评估, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为提升三峡船闸智能化水平及风险承载能力，首先，采用社会网络分析（SNA）方法识别并提取三峡船闸预约调度的利益相关方，通过点度中心度、中介中心度和接近中心度这3种中心性指标表征利益相关方的网络特征，并从合法性、合理性、可行性、可控性4个维度构建评价指标体系；其次，根据指标间的潜在耦合关系，运用贝叶斯网络（BN）构建三峡船闸预约调度模式社会风险评估模型，以量化各指标作用的方向与强度；最后，通过敏感性分析识别影响社会稳定性的关键因素。结果表明：三峡船闸预约调度模式下的社会风险等级处于较低水平；评价指标体系中的4个准则指标对综合社会风险的影响强度排序为：合法性>可控性>可行性>合理性；规则修订、审批及发布的合规性，负面舆论易发性，群体性事件易发性，预约成功率，安全管理策略覆盖度等指标是影响总体社会风险的关键因素。

, authors=李嵘讲师^{1, 2}, 刘清教授^{1, 3}, 王磊副教授^{**, 1, 3}, 钟悦¹, 兰毓峰高级经济师⁴, 南航高级经济师⁴, authorsList=李嵘讲师, 刘清教授, 王磊副教授, 钟悦, 兰毓峰高级经济师, 南航高级经济师, authorCompany=null, correspAuthors=王磊副教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=4XdaHoat6jCFkO8xdVb33Q==, magXml=/nFsn3ycRdN+sHjeNB58yA==, pdfUrl=null, pdf=oc92RJVgGrzX7Tiw8Gw8Bg==, pdfFileSize=5323327, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=duySTb4GPlzaI9o9h6EmuA==, mapNumber=null, fund=null)}, authors=[Author(id=1282030073775637125, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030072248910451, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=335147@whut.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282030075407221384, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030072248910451, authorId=1282030073775637125, language=EN, stringName=Rong LI, firstName=Rong, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan Hubei 430063, China
²Scientific Research Department, Zhejiang Institute of Communications, Hangzhou Zhejiang 311100, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282030075524661897, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282030072248910451, authorId=1282030073775637125, language=CN, stringName=李嵘讲师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹武汉理工大学 交通与物流工程学院，湖北 武汉 430063
²浙江交通职业技术学院科研处，浙江 杭州 311100, bio={"content":"

李嵘（1995—），男，浙江东阳人，博士研究生，讲师，主要研究方向为交通运输系统优化、安全管理等。E-mail: 335147@whut.edu.cn。

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李嵘（1995—），男，浙江东阳人，博士研究生，讲师，主要研究方向为交通运输系统优化、安全管理等。E-mail: 335147@whut.edu.cn。

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