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China Safety Science Journal    2025, 35 (8): 272-272.   Abstract （741）   HTML （2）    PDF（pc） （2008KB）（9）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Empirical analysis of construction engineering safety impact network influenced by five-party responsible entities CHEN Dawei, YANG Zhe, YU Rui, CAO Weiqiang China Safety Science Journal    2025, 35 (4): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1638 Abstract （556）   HTML （9）    PDF（pc） （2249KB）（69）       Knowledge map    Save In order to effectively prevent construction safety accidents, a safety responsibility network model of the five responsible parties was developed based on complex network topology characteristics to reveal the nonlinear coupling mechanism of their safety responsibilities, supported by accident case studies. First, relevant regulations, standards, and literature were analyzed to extract safety responsibility checklists for each party, and a responsibility matrix was constructed. Subsequently, Neo4j software was utilized to visualize the network diagram illustrating the safety influence relationships among the five parties in construction projects. Finally, topological metrics were applied to explore the interdependencies between the parties across multiple dimensions. The results indicate that the construction client plays a central and dominant role in project safety, with particularly significant influence on the contractor. The contractor's impact is primarily concentrated within its organizational boundaries, and its responsibility implementation is susceptible to external influences from other parties. The survey and design units indirectly affect other parties through the construction client. The supervision unit maintains systemic balance and regulation through monitoring and feedback mechanisms. The identification of critical decision-making nodes and passive response factors provides network topology-based evidence for differentiated management of responsible parties. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Exploration and practice of collaborative training for safety discipline talents between universities and institutions: from integration of science and education to integration of industry and education TONG Ruipeng, WANG Leyao, HAN Jixiang, ZHANG-JIANG Bonan, KANG Rongxue, AN Yu China Safety Science Journal    2025, 35 (7): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1357 Abstract （434）   HTML （4）    PDF（pc） （6248KB）（16）       Knowledge map    Save To cultivate talents with both theoretical innovation and practical abilities in safety science and engineering discipline of universities, this paper explored the educational practice of safety discipline from the integration of science and education to the integration of production and education. First, the integration concepts of science and education and integration of production and education were analyzed under the new Degree Law, establishing the connotation requirements and an educational framework for science-industry-education synergy. Utilizing macro, meso, and micro perspectives, this study constructed robust educational systems, management mechanisms and training programs. Examples from School of Emergency Management and Safety Engineering of China University of Mining and Technology-Beijing and National Academy of Safety Science and Engineering illustrated the effective cultivation of talent seeds, the creation of nurturing environments, and the achievement of substantial educational outcomes. Results indicate that this collaborative model significantly enhances the comprehensive development of safety professionals and improves the overall quality of education in the safety discipline. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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China Safety Science Journal    2025, 35 (10): 247-247.   Abstract （429）   HTML （0）    PDF（pc） （2383KB）（0）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Analysis of feature importance to retaining wall deformation of excavation using interpretable machine learning model LIU Yadong, LIU Xian, HU Hesong, CHEN Hang, QIAO Shengfang China Safety Science Journal    2025, 35 (4): 110-119.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.0893 Abstract （423）   HTML （4）    PDF（pc） （4929KB）（17）       Knowledge map    Save In order to improve the interpretability of excavation deformation prediction, this study developed an interpretable machine-learning model aimed at predicting the deformation of excavation retaining walls. A comprehensive analysis was conducted to evaluate the influence of different feature variables on the prediction outcomes. Firstly, a large number of excavation support structure parameters were used as a dataset, and 80% of the dataset was used to build a prediction model for the maximum lateral deflection of the retaining wall using the XGBoost (eXtreme Gradient Boosting)model. Then, the model was tested based on the remaining 20% of the dataset, and the accuracy of the model was evaluated by four indicators, i.e., the coefficient of determination, bias factor, mean absolute percentage error, and root mean square error. Finally, combined with the XGBoost model, the SHAP(SHapley Additive exPlanations) method was applied to complete the global explanation of the excavation feature variables, the partial analysis of individual samples, and the analysis of interaction effects of feature variables. The results show that the proposed method can provide both global and local explanations for the deformation prediction of excavation. At the global level, it not only provides the importance ranking of feature variables, but also gives the distribution of SHAP values. At the local level, the deformation prediction results of individual samples are decomposed into the base value and the contribution of each feature variable, which can quantify the impact of individual feature variables. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Work safety solution for China's chemical (hazardous chemicals) enterprise WANG Haoshui China Safety Science Journal    2025, 35 (5): 16-22.   DOI: 10.16265/j.cnki.issn1003-3033.2025.05.0097 Abstract （418）   HTML （5）    PDF（pc） （1938KB）（32）       Knowledge map    Save In order to improve the work safety management level of China's chemical (hazardous chemicals) industry, firstly, the formation of chemical process safety management was expounded, including the traditional management method and the proposal of process safety concept. Then, the characteristics and specific content of the elements of the chemical process management elements system in China were analyzed, including 8 modules and 20 elements. Finally, a systematic solution was proposed, that was, four-element solution with safety leadership, management barrier (responsibility, equipment, management and capability), and safety culture as the primary-level elements. The results show that core elements of four-element solution are the concept, safety leadership, management barrier (responsibility, equipment, management, capability) and safety culture. Among them, safety leadership is the most critical element, leading the concept into practice, responsibility division, equipment upgrading, management system construction, capability improvement and culture cultivation. Other elements together constitute the skeleton of work safety management, and realize systematization. Businesses can help prevent accidents and improve the overall safety level of the industry by taking the lead and promoting the implementation of various elements through participation of all staff. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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System fault evolution process based on quantum thought description CUI Tiejun, LI Shasha, DENG Wenhao China Safety Science Journal    2025, 35 (5): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2024.05.0671 Abstract （412）   HTML （1）    PDF（pc） （3234KB）（19）       Knowledge map    Save In order to study the SFEP and its characteristics, a method for describing SFEP using quantum concepts is proposed. The relationship between SFEP and event function states was discussed. The principle of describing SFEP by quantum thought was studied. The mathematical model of quantum description of SFEP was constructed. The measurement collapse of SFEP quantum states was realized, and the failure mode and its probability were finally determined. The results indicate that SFEP has diversity and uncertainty, event quantum state superposition, measurement collapse, bipolar state, which is the basis of studying SFEP through quantum thought. SFEP can be decomposed into multiple layers, with distinct objects and quantum state superposition modes in each layer. The SFEP quantum states are derived from the superposition of the quantum states of objects at each layer, which is composed of the polynomial product of the probability amplitude of the objects in each layer. The restriction conditions for the formation of the probability amplitude of quantum states of each layer are given. Each dimension of the SFEP quantum state vector is a fault state. The measurement of the factor phase value makes the SFEP quantum state collapse, and the possible failure mode and occurrence probability are obtained. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Multimodal large model-based approach for construction safety hazard recognition AN Siqi, CAI Anglin, MA Zicheng, ZHU Baoyan China Safety Science Journal    2025, 35 (9): 185-192.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1298 Abstract （409）   HTML （0）    PDF（pc） （7997KB）（0）       Knowledge map    Save In order to enhance the automatic recognition of safety hazards and improve safety management in construction scenarios, a multimodal large-model-based method for construction safety hazard recognition was proposed and its core component—the multimodal safety hazard recognition model, LLaVA(Large Language and Vision Assistant)-CS(Construction Site), was implemented. The system integrated images (construction site photos) with safety operating procedures (worker behavior descriptions), leveraging multimodal learning and deep learning technologies to perform real-time monitoring and analysis of construction sites. To support the system's effective operation, a multimodal dataset covering complex conditions such as varying lighting, occlusions, and multi-person scenarios was constructed, addressing the gaps in existing public datasets. Through prompt tuning of the LLaVA-1.5 model, the LLaVA-CS model effectively integrated visual and textual information, enhancing the accuracy and interpretability of safety hazard recognition. Experimental results show that this method achieves an accuracy of 0.722 2 in multiple real-world construction projects, generating detailed explanatory texts in real time to help managers quickly understand specific safety hazard contexts, thereby improving decision-making in safety management. This study innovatively applies multimodal large models to construction safety management systems, providing real-time, interpretable safety monitoring solutions and offering new technical support and optimization directions for construction safety management. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A review of technology development of large language model and knowledge graph in field of construction safety ZHAO Rongyong, PENG Xingzhu, WEI Bingyu, ZENG Guoyi, LIU Fengnian, YAN Peng China Safety Science Journal    2025, 35 (12): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.12.0044 Abstract （408）   HTML （0）    PDF（pc） （3912KB）（0）       Knowledge map    Save In order to clarify the potential research value and application prospects of LLMs and KG technologies in the field of construction safety, the existing problems in the knowledge-driven digital transformation of this domain were comprehensively analyzed, and the current state of technological development regarding knowledge graphs and large language models within it was reviewed. First, relevant literature was retrieved from the China National Knowledge Infrastructure (CNKI) and Web of Science(WoS) databases to define the scope of analysis. Then, the existing problems and challenges in the digital transformation of construction safety were analyzed, and the necessity of introducing KG and LLM was elaborated. Subsequently, the technological development of KG and LLM, along with the current status of their application research in construction safety, was briefly described. Preliminary achievements in the integrated application of KG and LLM within the construction safety domain were explored. Finally, the shortcomings of existing research were summarized, and future research directions are outlined. The results indicate that LLMs and KG technologies have demonstrated significant application potential in various scenarios within construction safety, including knowledge management, risk identification, and intelligent decision-making, highlighting considerable prospects for future implementation. However, current research still faces challenges such as a lack of real-time capabilities and insufficient integration. Future efforts should focus on establishing comprehensive and precise construction safety KG and exploring novel approaches for the integrated application of LLM and KG. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Influence mechanism of psychological fatigue on unsafe behaviors of construction workers YAN Haoran, LI Ming, XU Xia, JIANG Xiangting China Safety Science Journal    2025, 35 (7): 15-21.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1461 Abstract （401）   HTML （3）    PDF（pc） （6117KB）（20）       Knowledge map    Save To reduce the negative impact of psychological fatigue on construction workers' safety, the relationship between psychological fatigue and UB and their underlying mechanisms were investigated. First, based on the characteristics of construction workers and literature review, psychological fatigue was divided into three dimensions: reduced motivation (RM), cognitive weakness (CW), and emotional exhaustion (EE). Secondly, based on protection motivation theory (PMT) and Conservation of Resources Theory (COR), HP was introduced as a mediating variable and SS was introduced as a moderating variable. Finally, Structural Equation Modeling and hierarchical regression analysis were used to explore the mechanism through which psychological fatigue affects construction workers' UB. The results show that psychological fatigue is found to have a significantly positive impact on UB through the three dimensions of RM, CW, and EE; HP is identified to partially mediate the relationship between psychological fatigue and UB. Both the direct effect of psychological fatigue on UB and the mediating role of HP between them are moderated by SS. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Tunnel initial fire detection method based on improved YOLOX algorithm MA Qinglu, QIU Gaojian, BAI Feng China Safety Science Journal    2025, 35 (4): 28-34.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.0960 Abstract （396）   HTML （5）    PDF（pc） （8534KB）（50）       Knowledge map    Save To address the issues of complex environmental interference and low recognition rates in early-stage tunnel fire detection, an improved YOLOX-based detection method, YOLOX-T, was proposed. The proposed method incorporated a NAM into the YOLOX network to suppress environmental noise and interference, thereby enhancing the model's robustness. A weighted BiFPN was integrated to improve multi-scale feature extraction and fusion. Furthermore, an α-IoU(Intersection over Union) loss function was employed to enhance the detection accuracy of early-stage tunnel smoke and flames, which often exhibit indistinct contours. Addressing the scarcity of publicly available datasets, a tunnel fire dataset encompassing both real-world and simulated scenarios was constructed through web data acquisition, simulated fire experiments, and the augmentation of existing datasets. Experimental results on the self-built dataset demonstrate that, compared to the original YOLOX model, the YOLOX-T method achieves improvements of 1.89% in mean Average Precision (mAP@0.5), 0.88% in mAP@0.5~0.95, 4.57% in precision, and 5.45% in recall. The improved algorithm can achieve better detection performance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Theoretical logic and four-dimensional pathways for emergency management discipline construction from perspective of value co-creation TAN Shuang, BI Lingfei China Safety Science Journal    2025, 35 (11): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.1293 Abstract （368）   HTML （0）    PDF（pc） （3999KB）（0）       Knowledge map    Save To explore innovative pathways for the development of emergency management discipline and address its current bottlenecks, this study systematized the theoretical logic of emergency management discipline construction based on value co-creation theory and designed a four-dimensional framework encompassing goal optimization, community building, full-process value co-creation, and technological empowerment. The results indicate that China's emergency management discipline construction currently faces challenges including fragmented value cognition, insufficient stakeholder coordination, unbalanced resource allocation, and superficial technological empowerment. An integrated theoretical framework incorporating value coupling, community construction, full-process co-creation, and technological empowerment can be constructed to guide disciplinary practice. Applying value co-creation theory can address deep-seated contradictions in discipline construction, thereby promoting its transformation from fragmentation toward systematization. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Airport flight zone operational safety resilience assessment and enhancement WANG Xinglong, QIU Xin, ZHAO Junni China Safety Science Journal    2025, 35 (4): 18-27.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1005 Abstract （362）   HTML （1）    PDF（pc） （4486KB）（17）       Knowledge map    Save In order to reduce the risks associated with the continuous growth of airport flight area size and flight volume, the safety resilience assessment of airport flight areas was carried out. First, risk factors were identified by analyzing the historical data of airport flight zones. Second, key risk factor weights were quantified, and a SD-based safety resilience assessment model for airport flight zones was constructed to propose safety resilience indicators. Then, the safety resilience of airport flight zones was assessed through simulation analysis, and targeted enhancement strategies were proposed. Finally, a large domestic airport flight area was taken as the research object to assess its safety resilience. The results show that among the personnel factors, the performance of the flight crew has the greatest impact on the level of operational safety resilience. By controlling the flow in the controlled airspace, enhancing safety awareness and increasing management inputs, the operational safety resilience of the flight area is improved by 9.11%. Among the environmental, equipment and management factors, the degree of improvement of the equipment updating mechanism has the greatest impact on the operational safety resilience level. By accelerating the frequency of equipment renewal, improving equipment deficiencies and increasing management inputs, the operational safety resilience of the flight area is increased by 21.49%. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Efficacy evaluation of fire communication command system based on IPSO-BP YU Zhenjiang China Safety Science Journal    2025, 35 (9): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1418 Abstract （361）   HTML （0）    PDF（pc） （6324KB）（0）       Knowledge map    Save This study provides quantitative support for analyzing current fire communication command systems and enabling their iterative upgrades. A four-level efficacy evaluation index system for brigade-level fire command communication systems was constructed, based on fire communication command system design specifications. This system assessed three key dimensions: operational support capability, data service capability, and communication assurance capability. An IPSO-BP-based system efficacy evaluation method was proposed, building upon BP neural network algorithm. Parameters were optimized using IPSO algorithm. Sample data were acquired through a combination of expert scoring and the Analytic Hierarchy Process (AHP). Principal Component Analysis (PCA) was applied for dimensionality reduction. Simulation comparisons were conducted using three distinct models: BP neural network, PSO-BP neural network, and IPSO-BP neural network. Results demonstrate that IPSO-BP neural network model achieves the fastest convergence speed. Its mean square error decreases by 75.71% compared to BP neural network model and by 45.96% compared to PSO-BP neural network model, representing the lowest error value among the three models. Furthermore, IPSO-BP model reasonably and accurately evaluates brigade-level fire communication command system efficacy, demonstrating considerable generalizability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Forest fire safety detection and personnel evacuation based on collaborative MUAVs GENG Peng, YANG Haojie, XUE Fanglin, LIU Yan China Safety Science Journal    2025, 35 (4): 43-50.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.0958 Abstract （350）   HTML （1）    PDF（pc） （12361KB）（18）       Knowledge map    Save To address the current challenges of lacking unmanned detection systems amid frequent forest fires and inefficient personnel evacuation during uncontrolled fire scenarios, this article proposes a forest fire safety detection method based on collaborativeMUAVs and an optimized shelter location strategy. A dynamic forest fire spread model coupled with multiple influencing factors is developed on the NetLogo platform. MUAVscollaborative search mechanism, grounded in an improved ant colony algorithm, is enhanced by introducing attractive pheromones (guiding searches toward fire clusters) and repellent pheromones (avoiding redundant paths), thereby optimizing the transfer probability of unmanned aerial vehicle (UAV) flight directions. Additionally, a flight model incorporating obstacle avoidance and water-carrying capacity-speed constraints was established. A dynamic evacuation simulation environment was constructed using geographic information system (GIS) data from Rhodes Island, Greece. Experimental results demonstrate that the improved ant colony algorithm reduces convergence time by 15% and 14% under 50% and 60% tree density scenarios, respectively, while search coverage increases by 35.02% and 32.16%. Furthermore, optimized shelter placement combined with the A* algorithm-based evacuation strategy reduces the overall mortality rate by 2.525%. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Numerical simulation of CO2 injection for fire prevention in a goaf affected by normal fault influence ZHANG Jiayong, LYU Zuxin, CUI Xiao, GUO Liwen, WU Jianguo, FU Jingbin China Safety Science Journal    2025, 35 (4): 9-17.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1231 Abstract （332）   HTML （0）    PDF（pc） （12898KB）（15）       Knowledge map    Save To address the issue of natural coal ignition in goaf under normal fault geological structures, the oxygen consumption rate and heat release intensity of coal samples were measured using a temperature-programmed oxidation device. Based on a porous media model of the goaf and the gas component transport equation, a numerical model for CO2 injection via side pressure into the goaf influenced by normal faults was established. The numerical model was used to simulate the mechanism by which the variation in the distance between the working face and the fault affects the width of spontaneous combustion oxidation band in the goaf, and analyze gas migration characteristics under different CO2 injection locations and flow rates. The results indicate that as the distance between the working face and the fault increases, the width of the oxidation band initially increases and then decreases, reaching a maximum width at 70 m from the fault. With the increase of CO2 injection depth, the oxidation band width initially decreases and then increases again, reaching a minimum width when the CO2 injection position is 40 m from the working face. Furthermore, with the increase of CO2 injection volume, the width of the oxidation band width decreases following a negative exponential trend. When the CO2 injection rate is 1000m3/h and CO2 volume fraction at the working face is below 0.4% for safety, width of the oxidation band reaches its minimum. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Risk zoo (VIII): metaphorical experiment on effect of golden monkey on unsafe behavior TONG Ruipeng, LIANG Fanjie, WANG Denghui, MAO Ying China Safety Science Journal    2025, 35 (5): 8-15.   DOI: 10.16265/j.cnki.issn1003-3033.2025.05.0018 Abstract （309）   HTML （1）    PDF（pc） （4619KB）（4）       Knowledge map    Save In order to reduce the incidence of unsafe behaviors and strengthen the effect of unsafe behaviors popularization, a novel golden monkey metaphor was constructed based on the conceptual integration theory. Taking the severity information and the metaphorical framework of unsafe behaviors as independent variables, the experimental process of the unsafe behaviors metaphor was designed to explore the influence mechanism and possible intermediary factors of golden monkey metaphor on unsafe behavior. The results show that golden monkey is a human-subjective, pervasive, and high-frequency unsafe behavior that results in relatively small transient losses. Low severity messages increase willingness to change behavior. The use of golden monkey metaphors to imply unsafe behaviors is more persuasive than nonmetaphors and increases willingness to change behavior. Severity and negative emotions play a suppression effect and a fully mediating effect between severity message and willingness to change behavior respectively, and degree of cognitive fine processing partially mediates the effect between metaphorical framing of unsafe behavior and willingness to change behavior. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Assessment of drivers' potential hazard perception ability for typical risk scenarios XU Lei, CUI Xiongbo, ZHAO Liuchang, REN Chaoyu, PENG Jinshuan China Safety Science Journal    2025, 35 (4): 181-188.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1071 Abstract （309）   HTML （3）    PDF（pc） （8826KB）（22）       Knowledge map    Save To reduce traffic accident risks, on-road experiments were conducted to investigate the differences in potential risk perception ability between skilled and unskilled drivers under two typical risk scenarios: dynamic motorcycle-following and parallel overtaking. A wearable eye tracker was employed to collect drivers' dynamic visual parameters, with their visual characteristics analyzed across different scenarios. The results demonstrate that skilled drivers exhibit significantly stronger risk perception abilities than unskilled drivers in both scenarios. Specifically, in the dynamic motorcycle-following scenario, skilled drivers show a higher probability of fixating on distant areas ahead, enabling better prediction of upcoming traffic conditions. In the parallel overtaking scenario, skilled drivers display shorter fixation durations, along with greater horizontal search breadth and vertical search depth. Moreover, the proportion of fixation time on rearview mirrors is significantly higher for skilled drivers compared to unskilled drivers, indicating superior visual search efficiency and enhanced rear traffic monitoring capability. Evaluations using the grey near-optimal comprehensive evaluation method reveal that skilled drivers achieved significantly higher scores in hazard perception ability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Analysis of complex network of causes of water disasters in coal mines MA Lianjing, XIAO Haibo, ZHAO Baofeng, JIANG Song, LIU Di, WANG Song China Safety Science Journal    2025, 35 (4): 35-42.   DOI: 10.16265/j.cnki.issn1003-3033.2025.04.1053 Abstract （307）   HTML （0）    PDF（pc） （3685KB）（17）       Knowledge map    Save In order to effectively improve the comprehensive prevention and control ability of coal mine water disaster accidents, the complex network and robustness analysis method were used to explore the key causes of accidents. According to the report of 111 typical coal mine water disaster cases in China in the past 40 years, an unweighted directed network of coal mine water disaster was constructed. The weights of each cause, such as degree, clustering coefficient and betweenness centrality at different scales of the network were calculated, and the key causes were excavated. The damage of intentional attack to the cause network under three different strategies was evaluated, and the optimal solution of systematic prevention and control was sought. The results show that the coal mine water disaster cause network has the characteristics of small world, and the causes are closely related. The attack ranked by degree has the greatest damage to the model. The corresponding key causes include organizing workers to carry out risky operations, failing to implement the management responsibility of water prevention and control technology, failing to carry out water exploration and drainage work as required, illegal organization of production operations, imperfect safety management institutions, inadequate hidden danger investigation, loopholes in coal mine safety supervision and supervision, and failure of higher-level units to perform safety management responsibilities. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Model for reshaping excellent safety culture ZHANG Lin, ZHANG Hua China Safety Science Journal    2026, 36 (1): 1-6.   DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0725 Abstract （306）   HTML （0）    PDF（pc） （2424KB）（0）       Knowledge map    Save A safety culture reshaping model was studied to enable enterprises to carry out safety culture reshaping in a more effective manner and enhance practical outcomes. Typical domestic and international safety culture models were systematically compared and analyzed to summarize their characteristics in terms of element design and logical structure. Based on actual needs of enterprise safety management scenarios, elements adaptation and frameworks integration were carried out, and an excellent safety culture reshaping model. This model incorporated six core elements—leadership, safety philosophy, risk control, communication, systems, and behavior, and deeply integrated within the "being-knowing-doing unity" logical framework. The results show that "excellence" is reflected in ambitious goals, extreme execution, and measurable mechanisms, while the core of "reshaping" lies in "retaining strengths and correcting weaknesses", which involves transforming unscientific safety concepts, revising imperfect systems, improving inefficient communication, and rectifying misleading leadership behaviors. The application of the excellent safety culture reshaping model enables all employees to first establish a solid foundation in values and safety beliefs, then reach a consensus in safety cognition, and finally standardize their safety behaviors, forming a shared behavioral pattern, thereby enhancing the effectiveness of safety culture reshaping. Table and Figures | Reference | Related Articles | Metrics | Comments（0）