Article(id=1282032617226744662, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.09.0178, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744560000000, receivedDateStr=2025-04-14, revisedDate=1751904000000, revisedDateStr=2025-07-08, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589994960, onlineDateStr=2026-07-09, pubDate=1758988800000, pubDateStr=2025-09-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589994960, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589994960, creator=13701087609, updateTime=1783589994960, updator=13701087609, issue=Issue{id=1282032292440805784, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='9', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1758988800000', pubDateStr='2025-09-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589917526, creator='13701087609', updateTime=1783593837820, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282048735404344166, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282048735404344167, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282032292440805784, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=159, endPage=166, ext={EN=ArticleExt(id=1282032621496546136, articleId=1282032617226744662, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Risk assessment of ship berthing operations in heavy fog based on cloud model, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

To mitigate the occurrence of berthing accidents in fog, this study constructed a cloud model-based visual risk assessment framework for ship berthing operations under dense foggy conditions. Within this framework, a comprehensive risk assessment index system was first established, encompassing four dimensions: personnel involved in berthing, vessel characteristics, berth facilities, and environmental conditions. Subsequently, the combined AHP and DEMATEL method was employed to calculate the integrated influence weights of each assessment indicator. To address the uncertainty inherent in berthing risks, the cloud model was introduced to quantify the risks associated with foggy berthing operations. Finally, the proposed framework was applied to evaluate four typical berthing scenarios at the Waigaoqiao Container Terminal of Shanghai Port. The results demonstrate that the marine clearance (fore and aft distance) at the berth, the proficiency of pilots in foggy berthing operations, and the positioning effectiveness of berth leading marks or lights significantly influence the risk levels of ship berthing in fog. This risk assessment model accurately evaluates and visually represents berthing risks across different scenarios. It thus holds substantial importance for ensuring all-weather berthing operations and enhancing port cargo throughput capacity.

, authors=Tingrong QIN¹, Xiaojing ZHANG¹, Pingping LUO¹, Zhixuan WU¹, Yuxiang GUI², Yongtao XI¹, authorsList=Tingrong QIN, Xiaojing ZHANG, Pingping LUO, Zhixuan WU, Yuxiang GUI, Yongtao XI, 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=1282032630627545951, articleId=1282032617226744662, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于云模型的大雾中船舶靠泊作业风险评估, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为减少雾中船舶靠泊事故的发生，构建一套基于云模型的大雾中船舶靠泊作业风险可视化评估架构。在该评估架构中，首先，建立包含靠泊相关人员、船舶、泊位及环境4个维度的综合风险评估指标体系；其次，基于层次分析法（AHP）与决策试验和评价试验法（DEMATEL）相结合的方法计算各评估指标的综合影响权重；然后，针对靠泊过程中风险的不确定性，引入云模型量化评估大雾中船舶靠泊的风险；最后，将该评估架构应用于上海港外高桥集装箱码头的4种靠泊作业场景。研究结果表明：泊位的前后留挡距离指标、引航员雾中靠泊水平指标以及泊位导标或导灯的示位效果指标对大雾中船舶靠泊作业风险等级影响较大；该风险评估模型可准确评估并可视化不同场景下的靠泊作业风险，保障船舶的全天候靠泊作业，提升港口的货物吞吐量。

, authors=秦庭荣讲师¹, 张小静¹, 罗平平¹, 吴志炫¹, 桂宇翔², 席永涛教授¹, authorsList=秦庭荣讲师, 张小静, 罗平平, 吴志炫, 桂宇翔, 席永涛教授, authorCompany=null, correspAuthors=null, authorNote=, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=Sd0gob1HbpMf+MBCI0Thwg==, magXml=c+hhJ/+7Am/P5zhBtEGFBQ==, pdfUrl=null, pdf=5P60LLa42Ul7IsOUaje6Lg==, pdfFileSize=10265575, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=0lSqopaqJ5MN/FSEuacgRg==, mapNumber=null, fund=null)}, authors=[Author(id=1282032637288100713, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282032617226744662, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=trqin@shmtu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282032638630277995, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282032617226744662, authorId=1282032637288100713, language=EN, stringName=Tingrong QIN, firstName=Tingrong, middleName=null, lastName=QIN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282032639834043244, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282032617226744662, authorId=1282032637288100713, language=CN, stringName=秦庭荣讲师, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=¹上海海事大学 商船学院，上海 201306, bio={"content":"

秦庭荣（1976—），男，安徽和县人，博士，讲师，主要从事船舶风险评估、智能船舶、航运大数据等方面的研究。E-mail: trqin@shmtu.edu.cn。

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秦庭荣（1976—），男，安徽和县人，博士，讲师，主要从事船舶风险评估、智能船舶、航运大数据等方面的研究。E-mail: trqin@shmtu.edu.cn。

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