Use of HFACS and Bayesian network for human and organizational factors analysis of ship collision accidents in the Yangtze River

IF 3.7 3区 工程技术 Q2 TRANSPORTATION
Yaling Li, Zhiyou Cheng, T. Yip, Xiaobiao Fan, Bing Wu
{"title":"Use of HFACS and Bayesian network for human and organizational factors analysis of ship collision accidents in the Yangtze River","authors":"Yaling Li, Zhiyou Cheng, T. Yip, Xiaobiao Fan, Bing Wu","doi":"10.1080/03088839.2021.1946609","DOIUrl":null,"url":null,"abstract":"ABSTRACT Human and organizational factors are the contributing factors for collision accidents from the historical data. To discover the key influencing factor, a human factor analysis and classification system based Bayesian Network model is proposed in this paper. The kernel of this proposed model is first to derive the unsafe acts from the perspective of perception, decision-making, and execution failures using the collision avoidance scheme, to classify the human factors into five categories using the modified human-factor analysis and classification system, and to transform the influencing factors of HOFs in the modified HFACS into the graphical structure of the Bayesian network. The results are verified from historical collision accidents data in the Yangtze River, and sensitivity analysis is carried out to validate the axioms of the Bayesian network. From further analysis, the causation factor and global causation chain of ship collision accidents can be derived. Consequently, the results are beneficial for the prevention and control of ship collision accidents in the Yangtze River by reducing human and organization factors.","PeriodicalId":18288,"journal":{"name":"Maritime Policy & Management","volume":null,"pages":null},"PeriodicalIF":3.7000,"publicationDate":"2021-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/03088839.2021.1946609","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maritime Policy & Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/03088839.2021.1946609","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 10

Abstract

ABSTRACT Human and organizational factors are the contributing factors for collision accidents from the historical data. To discover the key influencing factor, a human factor analysis and classification system based Bayesian Network model is proposed in this paper. The kernel of this proposed model is first to derive the unsafe acts from the perspective of perception, decision-making, and execution failures using the collision avoidance scheme, to classify the human factors into five categories using the modified human-factor analysis and classification system, and to transform the influencing factors of HOFs in the modified HFACS into the graphical structure of the Bayesian network. The results are verified from historical collision accidents data in the Yangtze River, and sensitivity analysis is carried out to validate the axioms of the Bayesian network. From further analysis, the causation factor and global causation chain of ship collision accidents can be derived. Consequently, the results are beneficial for the prevention and control of ship collision accidents in the Yangtze River by reducing human and organization factors.
基于HFACS和贝叶斯网络的长江船舶碰撞事故人因和组织因素分析
从历史数据来看,人为因素和组织因素是造成碰撞事故的主要因素。为了发现关键的影响因素,本文提出了一种基于贝叶斯网络模型的人因分析与分类系统。该模型的核心是首先利用避碰方案从感知、决策和执行失败的角度推导不安全行为,利用改进的人因分析和分类系统将不安全行为分为五类,并将改进的HFACS中不安全行为的影响因素转化为贝叶斯网络的图形结构。利用长江历史碰撞事故数据对结果进行了验证,并对贝叶斯网络的原理进行了灵敏度分析。通过进一步分析,可以得出船舶碰撞事故的原因因素和整体因果链。研究结果有利于减少人为因素和组织因素对长江船舶碰撞事故的预防和控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
8.20
自引率
8.60%
发文量
66
期刊介绍: Thirty years ago maritime management decisions were taken on the basis of experience and hunch. Today, the experience is augmented by expert analysis and informed by research findings. Maritime Policy & Management provides the latest findings and analyses, and the opportunity for exchanging views through its Comment Section. A multi-disciplinary and international refereed journal, it brings together papers on the different topics that concern the maritime industry. Emphasis is placed on business, organizational, economic, sociolegal and management topics at port, community, shipping company and shipboard levels. The Journal also provides details of conferences and book reviews.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信