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    Research on classification and gradation of offshore oil accidents in China
    CAO Yang
    China Safety Science Journal    2022, 32 (3): 18-24.   DOI: 10.16265/j.cnki.issn1003-3033.2022.03.003
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    In order to improve statistics and analysis of offshore oil accidents in China, firstly, relevant laws, regulations, standards and guidelines were analyzed to clarify definition of these accidents and specify their gradation and classification. Then, a comparative analysis was conducted on current regulations or practices regarding accident classification and gradation of the State Council, Ministry of Emergency Management, industries of different fields, three Barrel of Oil and international oil companies. Finally, scope and definition of offshore oil accidents were proposed, as well as the new gradation and classification, including their specification or applicable situation. The results show that based on the previous classification released by the Ministry of Emergency Management of People's Republic of China, accident classification can be expanded to eight types including thirty-nine sub-types in China. And on the basis of previous gradation by the State Council, accidents can be graded into six levels in China.

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    Research on discipline construction and content system of intelligent safety ergonomics
    DONG Longjun, WANG Jiachuang
    China Safety Science Journal    2022, 32 (3): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2022.03.001
    Abstract426)   HTML23)    PDF(pc) (1602KB)(235)       Save

    In order to further improve the disciple system of safety science, in view of the shortage of traditional safety ergonomics theory and method, studies were carried out on basic construction of intelligent safety ergonomics discipline theory and course content system. Firstly, according to development process of ergonomics, concept of intelligent safety ergonomics was put forward from a perspective of information technology, and its subject connotation and main attributes were analyzed. Secondly, the disciplinary basis, disciplinary tasks, disciplinary research objects, and research content were analyzed. Finally, considering the future challenges it faces, research tasks and application prospects were discussed. By analyzing several basic problems of the disciplines, it can be concluded that intelligent safety ergonomics is more effective than traditional safety ergonomics.

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    Identification and classification of Chinese and English safety related journals
    LI Jie, LIU Jiao, QIAN Jinxin, TONG Ruipeng, LIANG Xushu
    China Safety Science Journal    2022, 32 (5): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2022.05.1995
    Abstract393)   HTML2)    PDF(pc) (4515KB)(2)       Save

    In order to identify and classify safety related journals both in Chinese and English, based on Web of Science data platform, publications of China Safety Science Journal and Safety Science between 2018 and 2020 were searched from science citation index (SCI) and Chinese science citation database (CSCD). Then, VOSviewer software and journal co-citation analysis method were utilized to identify and analyze the lists and clusters of safety journals from references of selected publications. The results show that for these journals selected from the co-citation network of China Safety Science Journal, there are 10 journal clusters identified, including "safety management science", "safety science and human factor", "fire, combustion, engineering thermophysics and industrial process", "reliability" and etc. And citation sources of Safety Science are mainly from 7 journal clusters, namely "reliability engineering, expert system, ocean engineering and operational research", "safety management psychology and occupational health", "safety ergonomics", "safety science and building safety", "fire safety, evacuation and traffic", "traffic safety and occupational medicine" and "process safety, risk, disaster and engineering mechanics".

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    Construction and application of "L-B" man-machine accident model
    DONG Longjun, ZHENG Rujian, DENG Sijia
    China Safety Science Journal    2022, 32 (8): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2022.08.2125
    Abstract389)   HTML0)    PDF(pc) (2101KB)(0)       Save

    In order to improve the safety of the production process, in-depth research on accidents with human error as the main and machine failure as the second was carried out. Based on Lawrence accident model (L), behavioral safety "2-4" model (B), trace intersection theory, and accident cumulative effect theory, combined with safety ergonomics and other related knowledge, "L-B" man-machine accident model was constructed, and the actual case was analyzed. The results show that the accident model includes seven stages: work stage, hidden danger stage, trigger stage, occurrence stage, emergency stage, calm stage and recovery stage, analyzes the causes of accidents from various angles and illustrates the development characteristics of accidents from the beginning of production activities to the occurrence of accidents later, which can provide a reference for enterprises to formulate safety measures.

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    Scenario deduction and analysis for spillover risks of international sports events under influence of COVID-19
    FANG Danhui, XU Simin, XU Hongqian, XU Miao, HU Ziyao, ZHOU Min
    China Safety Science Journal    2022, 32 (4): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2022.04.001
    Abstract358)   HTML4)    PDF(pc) (1747KB)(48)       Save

    In order to improve risk prevention and control capabilities for international sports events under the background of COVID-19, case data of 23 international sports since the pandemic outbreak were collected, and an evolutionary network model with COVID-19 as risk source was established. Then, risk analysis on the model was carried out based on in-and-out degree, number of sub-net nodes, the shortest path and average path of complex network theory, key risk event nodes were identified, and preventive measures were put forward. Finally, critical chains were obtained by analyzing causal mechanism and types of risk chains, and countermeasures and suggestions for chain disconnection and disaster mitigation were put forward. The results show that severe epidemic situation and rising risk of virus transmission in host cities are the key nodes in evolutionary network, and cycle chain of political relations and public opinion is the most destructive one. Therefore, it is necessary to promote the development of a public opinion monitoring system and strengthen positive publicity of sports events.

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    Development process, current situation and future trend of safety soft science in China
    LUO Yun, PEI Jingjing, XU Ming, WANG Mengyao, XIA Xinyu
    China Safety Science Journal    2022, 32 (1): 1-11.   DOI: 10.16265/j.cnki.issn1003-3033.2022.01.001
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    In order to understand the development progress of safety soft science in China, its value and factor contribution rate are comprehensively discussed by taking the branch of soft science in the discipline system of GB/T 13745-2009 safety science technology(620) as the category. Then, it was summarized, commented and viewed from three aspects, namely history and process, evolution and current situation, trend and challenge, as well as in multiple dimensions and perspectives, such as discipline development, discipline system, discipline category, institutional and legal system, regulatory governance, research hot-spots and research frontiers. Finally, development trends and challenges of the safety soft science in theoretical innovation, intelligent safety, safety governance and high-quality development mode were analyzed and discussed. The results show that the whole society needs to strengthen the development of safety soft science which plays a great role in system safety. Research on safety management science, safety system science, safety culture, safety law and other disciplines is comparatively mature, while that on safety history, safety economics, safety ethics, and safety philosophy is not. Moreover, smart safety, smart emergency response, intrinsic safety, safety vulnerability, safety leadership, and the shared responsibility of the party and government will become research hot-spots in the future.

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    Portrait of China Safety Science Journal in past 30 years
    LI Jie, LIU Jiao, LIANG Xushu, QIAN Jinxin, HAO Limin
    China Safety Science Journal    2022, 32 (3): 9-17.   DOI: 10.16265/j.cnki.issn1003-3033.2022.03.002
    Abstract322)   HTML12)    PDF(pc) (7843KB)(109)       Save

    In order to have an overall understanding of the development of CSSJ in the past 30 years, 8 894 papers were collected from the Chinese Citations Database (owned by CNKI), and the data was cleaned and processed by using Bibliographic Analysis Tool(BAT) software. Bibliometrics approach was adopted to analyze publish and download trends, overall impact distribution, major provincial regions, leading institutions and authors, hot topics and research methods, and highly cited papers of CSSJ. The results show that CSSJ has an increase trends in both outputs of publications and download frequencies since 1991. Distribution of impact factors, cited frequencies and h-index demonstrates the high influence of CSSJ in the safety area. Moreover, highly productive regions of safety science have been formed, represented by provincial regions such as Beijing, Jiangsu and Hunan etc., and representative high-yield institutions include Beijing Jiaotong University, Liaoning Technical University and Central South University. The number of authors also become larger and larger along with the development of CSSJ, and co-authored papers have become the major type. WU Chao, FU Gui and CHEN Guohua etc. have ranked among the most productive authors in the journal in the past 30 years. And during its development, it has formed six topic groups, including safety and emergency management, safety engineering simulation and experiment, safety and risk evaluation, traffic safety, safety behavior and culture as well as safety prediction. In the research methods aspect, numerical simulation, analytic hierarchy process, neural network and structural equation model are the widely used in CSSJ papers.

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    Rise of precision: a review of emergency risk analysis methodology
    LIU Yi, QIAN Jing, FAN Weicheng
    China Safety Science Journal    2022, 32 (9): 1-10.   DOI: 10.16265/j.cnki.issn1003-3033.2022.09.2742
    Abstract320)   HTML0)    PDF(pc) (1855KB)(1)       Save

    In order to improve the timeliness and accuracy of emergency risk analysis, this paper reviewed the development of emergency risk analysis methods through systematic literature insights. The development of emergency risk analysis methods, the research status of technologies, methods, models, and theories supporting quantitative and precise risk analysis, and the difficulties in quantifying complex emergencies and catastrophes were discussed. The results show that the future development trends of emergency risk analysis methods and theories include: studying and proposing methods to optimize qualitative, semi-quantitative, and quantitative models by using information technology such as big data of sensing monitoring and computing, developing emergency risk calculation methods based on data & model & calculation, and developing the ability of accurate risk calculation.

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    Mission and path of emergency management discipline construction from a perspective of knowledge production
    TAN Shuang, XU Mingxin, WANG Zewei
    China Safety Science Journal    2022, 32 (2): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2022.02.001
    Abstract301)   HTML6)    PDF(pc) (1987KB)(56)       Save

    In order to clarify construction mechanism of emergency management discipline and promote sound development of the discipline, its construction difficulties and missions were analyzed by reviewing the development history, and corresponding construction path was put forward. The research shows that from the perspective of knowledge production mode transformation, the discipline's construction is faced with three dilemmas, including discrete knowledge producers, insufficient knowledge innovation and limited knowledge conversion, and has to complete three missions concerning emergency management knowledge, namely its direct reproduction aiming at talent cultivation, expanded reproduction for scientific research, and transformation reproduction oriented to social service. Moreover, the construction can be improved by strengthening top-level planning, optimizing training system of emergency management personnel, promoting collaborative innovation of related research, and improving its social service ability.

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    Research on influence of safety investment and technological innovation to economic benefits of extractive industry: threshold effect model
    SHI Gonglong, ZHANG Yaoyi, LI Hongxia, TIAN Shuicheng, WANG Qian
    China Safety Science Journal    2022, 32 (8): 9-15.   DOI: 10.16265/j.cnki.issn1003-3033.2022.08.1389
    Abstract263)   HTML0)    PDF(pc) (1770KB)(0)       Save

    In order to strengthen enterprise safety management, improve economic benefits and optimize the safety investment structure, based on the perspective of safety accounting, taking the listed enterprises of mining industry from 2012 to 2019 as samples, a multiple regression model was applied to analyze of the impact of safety investment and technological innovation on economic benefits of mining enterprises. Then, the panel threshold regression model was constructed with technological innovation as the threshold value to further explore the relationships among them. The results show that there is a significant positive correlation between safety investment and economic benefits of enterprises, and technological innovation has a significant positive role in promoting economic benefits of enterprises. With technological innovation as the threshold value, there is a single threshold effect on the impact of safety investment on economic benefits. On both sides of the threshold, technological innovation positively promotes the positive impact of safety investment on economic benefits of enterprises, but the promotion intensity on the left side of the threshold is significantly greater than that on the right side.

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    Review on affecting factors and intervention methods of drivers' hazard perception ability
    QIAO Jie, XU Xin, LIU Chuanpan, ZHAO Junwei, LIU Yongtao
    China Safety Science Journal    2022, 32 (2): 34-41.   DOI: 10.16265/j.cnki.issn1003-3033.2022.02.006
    Abstract255)   HTML5)    PDF(pc) (1627KB)(31)       Save

    In order to investigate effects of external intervention on drivers' hazard perception ability. Firstly, description of hazard perception process by different theories were sorted out and perception behavior mechanism was analyzed. Secondly, influence of affecting factors on hazard perception was analyzed, including driving style, driving experience, traffic environment and driving state. Then, research results of five different intervention methods with their features were introduced. Finally, limitations of existing researches were analyzed from the aspects of duration of intervention effect, evaluation index and transfer effect, and future development direction was discussed. The results show that it is significant to build a database of typical traffic hazard scenes in China and design a standard perception test system as well as formulate relevant regulations so as to improve Chinese drivers' general hazard perception ability.

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    Detailed explanations of 24Model and development of its 6th version
    FU Gui, CHEN Yiran, XU Surui, CHEN Ping, YUAN Chenhui, WU Yali
    China Safety Science Journal    2022, 32 (1): 12-19.   DOI: 10.16265/j.cnki.issn1003-3033.2022.01.002
    Abstract253)   HTML10)    PDF(pc) (1841KB)(72)       Save

    In order to make 24Model achieve better application effect in tracing the cause of accident and formulating accident prevention countermeasures, the detailed scientific explanations of 24Model are critically important. By means of systematic literature review and comparative studies, the logical structure, causation modules and main features of 24Model were deeply examined. The research results show that: the primary theoretical foundations of 24Model are the series of Domino Theory proposed by HEINRICH and improved by BIRD etc., and the series of Swiss Cheese Model proposed by REASON and clarified by SHAPPELL & WIEGMANN, and another one is the Model of Managing for Outstanding Safety proposed by STEWART. The logical structure of the static form of 24Model is established by cause-effect relationship and falls into the sequential category of accident causation models. The specific meaning of the immediate, indirect, root, and radical accident causes in static 24Model can be found from the above three types of accident causation models, management system standards by ISO and the safety culture defined by the authors of this paper. The dynamic form of 24Model takes the process of behavioral conversion to establish its logical structure, and it fully expresses its systemic, dynamic, and non-linear features, and it forms a behavioral conversion system by linking organizational behaviors, namely influence behaviors, and individual behaviors, namely operative behaviors.

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    Study on accident risk perception bias based on emotion analysis
    ZHANG Yu, ZHAO Biliu, LIU Hongyong
    China Safety Science Journal    2022, 32 (8): 16-22.   DOI: 10.16265/j.cnki.issn1003-3033.2022.08.1730
    Abstract244)   HTML0)    PDF(pc) (2533KB)(0)       Save

    In order to explore the public's risk perception of safety accidents, text mining technology was used to obtain accident micro-blog comment data, emotions like surprise and fear were identified by adopting BERT-RPC. Then, accident probability perception bias was measured by frequency surprise, and accident loss perception bias was measured by fear and loss surprise. Finally, influence of micro-blog form and content on risk perception was investigated by binary logic regression. The results show that the underestimation of safety accident risks is very common, and it is more serious in loss perception. The "capture-analysis" technology based on BERT-RPC model can monitor risk perception bias of the public in the whole network with high efficiency and low delay. Moreover, accident probability and loss in transportation industry are significantly underestimated, and so are the probability of general accidents and loss of major ones. While accident pictures and videos can help correct perception bias of accident loss, their effect on probability perception is limited. Accident reports in the early stage has the best correction effect on risk perception, and then in stages where survey results and people held accountable are announced.

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    Impact of bus drivers' organizational identity on driving anger:mediating role of burnout
    LI Qiong, WANG Yongjie, CHEN Wenqiang, BAI Pengxia, XUE Chenlei
    China Safety Science Journal    2022, 32 (5): 8-13.   DOI: 10.16265/j.cnki.issn1003-3033.2022.05.0467
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    In order to explore antecedent variables that affect bus drivers' driving anger and their influencing mechanism, a mediation model among organizational identity, job burnout and driving anger was put forward with job burnout as an intermediary variable. Then, 583 bus drivers in Xi'an were surveyed by using organizational identity scale, burnout scale and driving anger scale. Finally, the model was verified by utilizing Process macro program. The results show that violations and egoism of other traffic subjects are more likely to induce driving anger of bus drivers. Organizational identity can significantly predict anger and burnout in a negative way, with the latter playing a completely mediating role between organizational identity and driving anger. In another words, the identity affects driving anger completely through burnout.

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    Bibliometric analysis of university teachers' occupational mental health based on CiteSpace
    ZHANG Hongying, SUN Ninghao, WANG Hui, TONG Ruipeng
    China Safety Science Journal    2022, 32 (2): 16-21.   DOI: 10.16265/j.cnki.issn1003-3033.2022.02.003
    Abstract210)   HTML1)    PDF(pc) (3244KB)(31)       Save

    In order to study main research content and direction in the field of university teachers' occupational mental health in recent 10 years, with CNKI as database, papers published from 2011 to 2020 were obtained after two searches, and statistical analysis on the number of papers was done. Then, CiteSpace was used for visualization processing to obtain keyword co-occurrence map. The results show that related researches on university teachers' occupational mental health mainly focus on job burnout and occupational stress. The hot topics are causes and countermeasures, and key objects are PE teachers, young teachers, English teachers and female teachers. Through analysis on research content, it is found that both occupational stress and job burnout exert negative effects on the teachers' occupational mental health. Effective intervention can be taken from society, school and individuals to improve it, and then enhance teachers' mental health.

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    Application of ST-GCN in unsafe action identification of construction workers
    LIU Yao, JIAO Shuangjian
    China Safety Science Journal    2022, 32 (4): 30-35.   DOI: 10.16265/j.cnki.issn1003-3033.2022.04.005
    Abstract209)   HTML4)    PDF(pc) (5769KB)(58)       Save

    In order to identify unsafe actions of construction workers accurately and timely, a real-time recognition method based on skeleton was proposed by using computer vision, image recognition technology and safety knowledge of buildings. Then, pose estimation algorithm and action recognition algorithm were combined to establish a model, and motion classification and unsafe motion recognition were realized by training the model with comprehensive data. Among them, AlphaPose was used for posture estimation to extract coordinate positions of key points of bones, and ST-GCN was adopted for action recognition. Finally, the model was verified through experiment. The results show that the method's accuracy rate of dangerous actions identification for ladder climbing can reach 98.48%. Meanwhile, ST-GCN has stronger generalization ability compared with support vector machine, random forest and LSTM. This method can improve traditional safety management mode and information application of safety management through real-time identification and early warning of unsafe actions of workers on site.

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    An early warning model of unsafe behaviors of construction workers based on BP neural network
    SHI Juan, CHANG Dingyi, ZHENG Peng
    China Safety Science Journal    2022, 32 (1): 27-33.   DOI: 10.16265/j.cnki.issn1003-3033.2022.01.004
    Abstract208)   HTML8)    PDF(pc) (1478KB)(73)       Save

    In order to reduce unsafe behaviors of construction workers and improve safety management of corporations, methods of statistical analysis, literature analysis and qualitative interview were adopted to obtain influencing factors of unsafe behaviors. Then, an early warning index system was established from four aspects, namely organization, individual, environment and equipment. Based on BP neural network principle, with these indicators as network input, and four unsafe states were output, a warning questionnaire was designed, and the questionnaire data were repeatedly trained and learned. Finally, a three-layer BP neural network warning model of "23-9-4" was constructed, trained and tested. The results show that this model accurately predicts unsafe behavior states of workers, thereby enabling them to take prevention and control measures in advance.

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    Joint analysis method for process deviation of HAZOP in chemical operation units
    GAO Ming
    China Safety Science Journal    2022, 32 (3): 98-102.   DOI: 10.16265/j.cnki.issn1003-3033.2022.03.013
    Abstract207)   HTML1)    PDF(pc) (1604KB)(47)       Save

    In order to improve application effect of HAZOP in chemical operation units, based on the practical experience of its application in modern large chemical plants over the past 10 years, a joint analysis method was proposed. Firstly, behavioral factors of HAZOP participants were studied and process risk attention model was established. Then, its deviation funnel was put forward, possible deviation trends and risk factors of the whole system were identified by using mathematical model before they were manually confirmed and listed into key points of HAZOP. Finally, a HAZOP report was generated by synthesizing various professional resources, and then a method set featuring man-machine complementarity and layer by layer screening was formed. The results show that the joint analysis method can improve HAZOP sustainability as well as risk identification accuracy of chemical operation units, therefore upgrading safety performance of enterprises.

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    Coupling evolution analysis of subway tunnel construction safety risk based on N-K model
    FANG Jun, GUO Peiwen, ZHU Ke, CHEN Zhengfu
    China Safety Science Journal    2022, 32 (6): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2022.06.2102
    Abstract203)   HTML1)    PDF(pc) (1621KB)(0)       Save

    In order to explore the mechanism of safety risk factors in subway tunnel construction and prevent construction safety accidents scientifically, the N-K model was introduced into the evolution coupling analysis of safety risk in subway tunnel construction. On the basis of the definition of construction safety risk factors and the analysis of the coupling mechanism, the coupling interaction scenarios were constructed according to the coupling hierarchical network model, and the combined classification was carried out according to the number of coupling. The coupling effect measurement model based on N-K model was established, and the coupling information multivariate interaction and coupling effect quantitative calculation were carried out. The validity and accuracy of the model were verified by taking 231 typical accidents of subway tunnel construction in China in recent 20 years as examples. The results show that safety accidents are directly proportional to the risk coupling value, and the more coupling factors, the greater the risk value. The coupling risk value of human and management is the highest, and the coupling risk value of management and environment is the lowest. The coupling of subjective and objective factors is more likely to lead to safety accidents.

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    Investigation on research team and hot topics of accident causation in China
    LI Jie, YI Hongyan, LI Naiwen
    China Safety Science Journal    2022, 32 (7): 20-27.   DOI: 10.16265/j.cnki.issn1003-3033.2022.07.1965
    Abstract197)   HTML0)    PDF(pc) (5853KB)(0)       Save

    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.

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