Investigation on research team and hot topics of accident causation in China

doi:10.16265/j.cnki.issn1003-3033.2022.07.1965

Abstract

Abstract:

To comprehensively understand the research situation of domestic accident causation and provide scientific and technological information support for the research of accident causation in China, the output, research strength and research hotspots of 314 research papers included in China National Knowledge Infrastructure (CNKI) were analyzed through the method of safemetrics. The results show that the research on accident causations in China has gone through two stages. In the first stage (1992-2007)-the embryonic stage, there were few annual papers on accident causations. After entering the second stage (2008-2020), the research on accident causations in China has entered a period of rapid development, and the overall output has shown an significant growth trend. The research papers of accident causation are mainly published in safety journals such as China Safety Science Journal, Journal of Safety Science and Technology and Safety in Coal Mines etc.. The strength of accident causation research in China was relatively scattered, and the cooperation network was dominated by teacher-student cooperation within the organization. The research team is mainly composed of FU Gui, WU Chao, TIAN Shuicheng and FAN Yunxiao. The research on accident causation in the two stages shows significant differences, and stays in a single descriptive analysis and practice at the beginning. After entering the new period, the research content and application are more abundant, and the theory and method of accident causation in China are gradually formed.

Key words: accident causation, not topics accident model, accident prevention, 24Model, CiteSpace, safemetrics

LI Jie, YI Hongyan, LI Naiwen. Investigation on research team and hot topics of accident causation in China[J]. China Safety Science Journal, 2022, 32(7): 20-27.

Figures/Tables 7

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序号	关键词分类	关键词(出现频次)
1	方法-模型类	24Model (30)、ISM (14)、HFACS模型(11)、事故树(Fault Tree Analysis, FTA,9)、STAMP(Systems-Theoretic Accident Model and Processes)模型(5)、层次分析法(Analytic Hierarchy Process, AHP,5)、复杂网络(5)、文本挖掘(5)、案例分析(4)、贝叶斯网络(4)、FDA(Forecast-Decision-Action)事故致因模型(3)、关联规则(3)、灰色系统理论(3)、系统分析(3)、"认知-约束"模型(2)、决策试验与评价实验室方法(Decision-making Trial and Evaluation Laboratory,DEMETEL)模型(2)、逻辑回归模型(Logistic Model,2)、管理疏忽与危险树(Management Oversight and Risk Tree,MORT)模型 (2)、REASON模型(2)、逼近理想解排序法(Technique for Order Preference by Similarity to Ideal Solution,TOPSIS法,2)、卡方检验(2)、模糊Petri网(2)、能量理论(2)、让步比(2)、三脚架模型(2)、社会网络分析(2)、数据挖掘(2)、系统思维(2)、信息熵(2)、K2算法(2)、Petri网(2)、安全信息认知(2)、对比分析(2)、关联度(2)
2	问题-领域类	煤矿:煤矿(12)、煤矿安全(5)、煤矿企业(2)、煤矿事故(5)、煤与瓦斯突出(2);交通:交通安全(5)、交通工程(2)、交通事故(4);其他领域:瓦斯爆炸(即可燃气体爆炸8)、建筑施工(2)、化工事故(3)、溃坝(2)等