In order to study the relationship between China\'s safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China\'s safety production, and the country\'s three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R2, F-value, P-value, and deviation between actual and fitted values. Provide guidance for the development of safety production indicators and economic and social indicators in China through research.

This study explores the factors influencing unsafe behaviors among decorators. The study begins with a literature review on unsafe behaviors among construction workers, compiling a checklist of factors specific to decorators. Utilizing exploratory factor analysis (EFA), a measurement scale for these factors is developed. Subsequently, stepwise regression analysis (SRA) is conducted to validate relationships and identify crucial factors. Results categorize influencing factors into three dimensions: personal, organizational and environmental. Non-compliance with safety procedures and protocols is found to correlate directly with increased unsafe behavior at an individual level. Additionally, internal safety regulations within companies are identified as having a direct negative impact on unsafe behaviors at the organizational level. This study enhances our understanding of unsafe behaviors among decorators and offers recommendations for mitigation.

Many previous cases have demonstrated that hazardous materials processing industry (HMPI) accidents always result in huge losses and HMPI companies which suffer accidents are difficult to quickly restore. This has demanded an effective way to solve the two problems. Resilience safety culture (RSC) combines conventional safety culture and resilience engineering. It aims at giving an organization the abilities of continually operating or timely recovering during or after a major unexpected event. RSC fits the safety demands of the HMPI well. The present study develops a RSC model for the HMPI. Firstly, through literature review, 12 model elements with 16 hypothesized relationships are developed. These hypothesis are then tested by 618 samples with structural equation modelling. Finally, an HMPI RSC model with 12 elements and 12 relationships is established. Model validity is verified by a comparison study on the proposed model and two existing models with the fuzzy analytic hierarchy process.

Farmers are considered a high-risk group for intentional and unintentional injuries. This review identified significant risk factors for agricultural injuries in farmers and explored injury prevention countermeasures based on the literature. Therefore, CiteSpace software was used to analyze the relevant literature in this field. Additionally, we identified both key risk factors and countermeasures using the Haddon matrix and the 5 E\'s risk reduction strategies conceptual framework, respectively. The risk factors were identified from four categories (host, agent, physical environment, and social environment) corresponding to three phases (pre-event, event, and post-event). Interventions of 5 E\'s risk reduction strategies including education, engineering, enforcement, economic, and emergency response have been proven effective in preventing injuries or reducing their severity. Our findings provide a comprehensive foundation and research direction for the study and prevention of injuries among farmers.

Unsafe behavior among construction personnel poses significant risks in petroleum engineering construction projects. This study addresses this issue through the application of a multi-field coupled homogeneous analysis model. By conducting case analyses of petroleum engineering construction accidents and utilizing the WSR methodology, the influencing factors of unsafe behaviors among construction personnel are systematically categorized into organizational system factors, equipment management factors, and construction personnel factors. Subsequently, employing Risk coupling theory, the study delves into the analysis of these influencing factors, discussing their coupling mechanisms and classifications, and utilizing the N-K model to elucidate the coupling effect among them. Furthermore, a novel approach integrating coupling analysis and multi-agent modeling is employed to establish an evolutionary model of construction personnel\'s unsafe behavior. The findings reveal that a two-factor control method, concurrently reinforcing equipment and construction personnel management, significantly mitigates unsafe behavior. This study provides valuable insights into the evolution of unsafe behavior among construction personnel and offers a robust theoretical framework for targeted interventions. Significantly, it bears practical implications for guiding safety management practices within petroleum engineering construction enterprises. By effectively controlling unsafe behaviors and implementing targeted safety interventions, it contributes to fostering sustainable development within the petroleum engineering construction industry.

Occupational injuries in the construction industry have plagued many countries, and many cases have shown that accidents often occur because of a combination of project participants. Assembled construction (AC) projects have received extensive attention from Chinese scholars as a future trend, but few studies have explored the interrelationships and potential risks of various stakeholders in depth. This study fills this research gap by proposing a multi-stakeholder AC risk framework. The study surveyed 396 stakeholders, then analyzed the collected data and created a risk framework based on Structural Equation Modelling (SEM) and the CRITIC weighting method. The results revealed that factors like \"regular supervision is a formality,\" \"blindly approving the wrong safety measures,\" and \"failure to organize effective safety education and training.\" are vital risks in AC of China. Finally, the study validates the risk factors and the framework with 180 real-life cases, which shows that the proposed framework is theoretically grounded and realistic. The study also suggests multi-level strategies such as introducing AI-based automated risk monitoring, improving the adaptability of normative provisions to technological advances, and advancing the culture of project communities of interest to ensure AC\'s safe practices.

In January 2021, an acute chemical poisoning incident occurred at a fluorine polymerization plant. Through the analysis of the occupational health situation of the enterprise, combined with the clinical manifestations of the poisoned patients and the laboratory examination results, it was determined that the incident was an acute poisoning incident caused by the inhalation of organic fluorine mixed gas in the fluorine polymerization plant. Subsequently, it was clarified that the accident was caused by the illegal operation of the employees of the fluorine polymerization plant, which caused the discharge of the organic fluorine mixed gas containing high concentration of octafluoroisobutene, resulting in the poisoning of the on-site construction personnel. In order to avoid the occurrence of similar incidents, enterprises should implement the main responsibility of safety production, regularly organize supervision and inspection, eliminate illegal operations, conduct safety education and training for the staff of the unit and outsourced staff, and improve the emergency rescue ability of sudden poisoning incidents.
2021年1月某氟聚厂发生急性化学中毒事件，通过分析企业职业卫生情况，结合中毒患者临床表现、实验室检查结果，判定该事件为氟聚厂有机氟混合气体吸入引起的急性中毒事件。后续明确该事故是由于氟聚厂员工违规操作引起含有高浓度八氟异丁烯的有机氟混合气体排出，导致现场施工人员中毒。为避免同类事件发生，企业应落实安全生产主体责任，定期组织监督检查，杜绝违规操作行为，对本单位职工和外包职工做好安全教育培训，提升突发中毒事件应急救援能力。.

Objective: To further study the causes of acute occupational poisoning accidents, and to provide scientific basis and decision support for the prevention of accidents in advance. Methods: From September 2022 to May 2023, the literature was searched and 232 cases of acute occupational poisoning cases occurred from 2013 to 2022 were collected. The causal nodes of the accident were determined according to the expert score, and the interpretative structural model (ISM) was used to construct the correlation model between the causal nodes to obtain the hierarchical relationship between the factors. The influence of each causal node on the occurrence of acute occupational poisoning accidents was studied by using Bayesian network (BN), and the relationship and influence among the causal nodes were analyzed by Netica 5.18 software to establish the pre-prevention model of acute occupational poisoning accidents and identify the key causal factors. Results: A total of 23, 203, and 6 cases of significant, large, and medium acute occupational poisoning accidents were included, of which 179, 29, and 24 cases were asphyxiating gas, irritating gas, and mixed gas, respectively. ISM of acute occupational poisoning accidents divided the causal factors into a 7-layer and 3-level hierarchical structure model. Among them, operation conditions, protective measures, ventilation equipment, hidden trouble investigation, emergency management, illegal operation, equipment and facilities, and blind rescue were the direct causes of the occurrence and expansion of accidents. Warning devices, inspection situation, safety education situation, safety operation procedures, and technology in the production process were indirect influences that lead to the occurrence and expansion of accidents. Safety production responsibility system, enterprise supervision and management and government supervision were the deep-rooted influences. BN reasoning showed that the maximum probability causal chain of acute occupational poisoning accidents was as follows: safety production responsibility system→enterprise supervision and management→safety education and training→protective measures→accident occurrence. The key factors leading to the occurrence of acute occupational poisoning accidents were inadequate protective measures, equipment and facility failures, operational errors, ventilation equipment not being used properly and improper emergency management. Conclusion: In the prevention of acute occupational poisoning accidents, it is necessary to correctly use protective measures, test equipment and facilities before operation, operate according to regulations, ensure the normal use of ventilation equipment, and strengthen emergency management, so as to reduce the incidence of acute occupational poisoning accidents.
目的： 深入研究急性职业中毒事故的发生原因，为事故的事前预防提供科学依据和决策支持。 方法： 于2022年9月至2023年5月，查找文献并收集2013至2022年发生的232例急性职业中毒事故案例，结合专家评分确定事故致因节点。采用解释结构模型（ISM）构建致因节点之间的关联性模型，获得因素之间的层级关系，结合贝叶斯网络（BN）研究各致因节点对急性职业中毒事故发生的影响。通过Netica 5.18软件分析各致因节点之间的关系和影响，建立急性职业中毒事故的事前预防模型，识别关键致因因素。 结果： 纳入重大、较大、一般急性职业中毒事故分别为23、203、6例，其中，窒息性气体、刺激性气体和混合性气体分别为179、29、24例。急性职业中毒事故的ISM将致因因素划分为一个7层3阶的多层递阶结构模型，其中操作情况、防护措施、通风设备、隐患排查、应急管理、违章操作、设备设施和盲目施救情况是导致事故发生与扩大的直接影响因素；警示装置、检测情况、安全教育情况、安全操作规程、生产工艺技术是间接影响因素；安全生产责任制度、企业监督管理及政府部门监管情况为深层根源影响因素。BN推理可见，急性职业中毒事故的最大概率致因链为安全生产责任制度→企业监督管理→安全教育培训→防护措施→事故发生。导致急性职业中毒事故发生的关键因素为防护措施不到位、设备设施故障、操作失误、通风设备未正常使用和应急管理不当。 结论： 在对急性职业中毒事故的预防中，要从正确使用防护措施、作业前检测设备设施、按规程进行作业操作、确保通风设备正常使用、强化应急管理等方面入手，从而降低急性职业中毒事故的发生率。.

Objectives. This study conducted a comparative analysis of two catastrophic pipeline accidents in China in order to identify some common mistakes and lessons learned to prevent similar accidents. Methods. The 24Model was used in this study, which provides a universal pathway for accident analysis from the individual level to the organizational level. Results. There were similarities between the two cases in the aspects of the occurrence, development, emergency and causation at different levels: both were caused by leaks of pipelines and evolved into multiple explosions during emergency response; both leaks were caused by the corrosion of pipelines in the confined space of a damp or salt-spray environment; both were classified as \'responsibility accidents\', and unsafe acts, such as the failure to identify hidden hazards of pipelines that were the direct cause of accidents, reflected the shortcomings of individual safety habitual behaviour in terms of knowledge, awareness, habits and psychology; weaknesses in the organizational management mainly concerned hazard identification, pipeline maintenance, emergency disposal, etc.; and there is not a good safety climate within the organization. Conclusions. Organizations should develop a closed-loop management system and strengthen the construction of safety culture, and the government should supervise the implementation of procedures.

Due to the clustering of risk factors, industrial park safety accidents can easily trigger a domino effect. Work safety investment is the foundation of enterprise work safety in industrial parks. Therefore, increasing the work safety investment of enterprises in industrial parks is the key condition to prevent accidents. However, due to the typical negative externalities of industrial park work safety accidents, the decision-making process of work safety in park enterprises is influenced by other enterprises within the park, including imitation behaviors. This makes the decision-making of work safety in park enterprises very specific. In order to clarify the influencing factors and effects of work safety investment in industrial park enterprises, this study uses a behavioral experiment method and conducts decision-making experiments using the experimental platform O-Tree. The study recruits 76 participants who play the role of decision-makers in park enterprises. This study uses a lottery price experiment and a dictator experiment to measure the risk preference and altruism preference of the participants, respectively. The study introduces the real background of work safety investment in industrial park enterprises and collects data on work safety investment by the participants in different experimental scenarios. The research results show that the safety attitudes of decision-makers, altruism preference, accident experience, government work safety supervision, park management measures, and safety benefits positively influence work safety investment in park enterprises. The risk preference of decision-makers and the resource capability of work safety negatively influence work safety investment in park enterprises. Work safety investment in park enterprises is influenced by the work safety investment of other enterprises within the park.