[1]王喜梅,李旭,于志红.海因里希法则对浙江特种设备事故之扩展研究[J].中国公共安全(学术版),2014(3):16-20.
WANG Ximei,LI Xu,YU Zhihong.Expend research on the Heinrich Rule of Zhejiang province special equipment accidents [J].China Public Security(Academy Edition),2014(3):16-20.
[2]SCHAAF T W.Near-miss reporting in the chemical process industry[D].Netherlands:Eindhoven University of Technology,1992.
[3]孙曙英,王涛.煤矿生产险兆事件的引发因素与机理分析[J].经济问题,2015(12):82-84.
SUN Shuying,WANG Tao.Study on causative factors and mechanism of coal mine production near-miss[J].On Economic Problems,2015(12):82-84.
[4]周志鹏,李启明,邓小鹏,等.险兆事件管理系统在地铁施工安全管理中的应用[J].解放军理工大学学报(自然科学版),2009,10(6):597-603.
ZHOU Zhipeng,LI Qiming,DENG Xiaopeng,et al.Application of near-miss management system in safety management of metro construction [J].Journal of PLA University of Science and Technology (Natural Science Edition),2009,10(6):597-603.
[5]田水承,周可柔,杨雪健,等.险兆事件视域下个体和组织事故3道“防火墙”[J].中国安全科学学报,2018,28(5):62-67.
TIAN Shuicheng,ZHOU Kerou,YANG Xuejian,et al.Three “firewalls” for preventing individual and organizational accidents in scope of near-miss event [J].China Safety Science Journal,2018,28(5):62-67.
[6]张明媛,曹天卓,赵雪峰.基于ANN识别施工人员跌落险兆事故的研究[J].安全与环境学报,2018,18(5):1703-1710.
ZHANG Mingyuan,CAO Tianzhuo,ZHAO Xuefeng.Approach to detecting and identifying the near-miss falls of the construction workers via the ANN system [J].Journal of Safety and Environment,2018,18(5):1703-1710.
[7]沈剑,李红霞.矿工作业疲劳对煤矿险兆事件的影响机理—基于情感耗竭中介变量的分析[J].安全与环境学报,2019,19(2):527-534.
SHEN Jian,LI Hongxia.Analysis of the impact of the fatigue index on the coal miners’ near-miss—the mediation of the emotional exhaust [J].Journal of Safety and Environment,2019,19(2):527-534.
[8]牟庆泉,丁小兵,刘志钢,等.基于地铁运营日志文本挖掘的危险源辨识算法研究[J].中国安全生产科学技术,2022,18(3):204-210.
MU Qingquan,DING Xiaobing,LIU Zhigang,et al.Research on identification algorithm of hazard sources based on text mining of metro operation log [J].Journal of Safety Science and Technology,2022,18(3):204-210.
[9]WENG J X,LI G R,CHAI T,et al.Evaluation of two-ship collision severity using ordered probit approaches[J].Journal of Navigation,2018,71(4):822-836.
[10]吴琴,施欣,陶学宗.海事事故严重性影响因素及影响程度识别[J].交通运输系统工程与信息,2019,19(1):185-191.
WU Qin,SHI Xin,TAO Xuezong.Identifying the factors and their impact levels on severity of maritime traffic accidents [J].Journal of Transportation Systems Engineering and Information Technology,2019,19(1):185-191.
[11]李俊辉,汤左淦.基于混合有序Probit模型的货车翻车驾驶员伤害程度研究[J].重庆交通大学学报(自然科学版),2021,40(2):21-27.
LI Junhui,TANG Zuogan.Driver injury severity in truck rollover accidents based on mixed ordered Probit model [J].Journal of Chongqing Jiaotong University (Natural Science),2021,40(2):21-27.
[12]李泽文,张萌萌,李虹燕.基于最优尺度Logit模型的交通事故形态致因分析[J].中国安全生产科学技术,2022,18(1):169-174.
LI Zewen,ZHANG Mengmeng,LI Hongyan.Cause analysis of traffic accident forms based on optimal scale Logit model [J].Journal of Safety Science and Technology,2022,18(1):169-174.
[13]LAROUZEE J,COZE J.Good and bad reasons:the swiss cheese model and its critics [J].Safety Science,2020,126,104660.
[14]SUN Y,ZHANG Y,ZHAO R,et al.Safety performance evaluation for civil aviation maintenance department[C]//9th International Conference on Digital Human Modeling and Applications in Health,Safety,Ergonomics,and Risk Management.Cham:Springer,2018.
[15]许未,何世伟,刘朝辉,等.基于关联规则的铁路事故致因网络构建与分析[J].铁道运输与经济,2020,42(11):76-83.
XU Wei,HE Shiwei,LIU Zhaohui,et al.Construction and analysis of railway accident causation network based on association rules [J].Railway Transport and Economy,2020,42(11):76-83.
[16]郭勇,阳富强.基于FDA事故致因模型的铁路行车安全管理研究[J].中国安全生产科学技术,2022,18(1):157-162.
GUO Yong,YANG Fuqiang.Research on railway operation safety management based on FDA accident causation model [J].Journal of Safety Science and Technology,2022,18(1):157-162.
[17]范正日.我国铁路重特大事故发生规律与特征研究[J].中国安全科学学报,2018,28(S1):135-140.
FAN Zhengri.Cycle analysis and characteristics for the occurrence of major railway accidents in China [J].China Safety Science Journal,2018,28(S1):135-140.
[1]文艳芳,刘嘉欣.地铁施工阶段险兆事件自愿上报意愿影响因素研究[J].中国安全生产科学技术,2017,13(5):187.[doi:10.11731/j.issn.1673-193x.2017.05.031]
WEN Yanfang,LIU Jiaxin.Study on influencing factors for voluntary reporting intention of near-miss incident in subway construction stage[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(2):187.[doi:10.11731/j.issn.1673-193x.2017.05.031]