School violence and bullying in China is under investigated, though it has become a national concern recently. Using updated national representative survey data collected in 2016 from seven provinces across China, covering students from all pre-college school types (primary, middle, high and vocational schools), this paper analyzes the prevalence of school bullying and the correlation with several school attributes. The incidences of reported bullying, bullying others and witnessing bullying are 26.10%, 9.03% and 28.90%, respectively. Primary school students are more likely to be involved in bullying behaviors. Students from elite schools (leading schools) are also more likely to be involved. Relation with teachers, relation with peers and perceived academic achievement are protective factors. Being a boy is the only significant predictor of school bullying among the family and demographic characteristics used. The results highlight the importance of school climate on preventing school violence and bullying, and a whole-school intervention approach is needed for future intervention.

The synergistic interaction between emergency management departments and enterprises constitutes a fundamental mechanism for mitigating the risks of technological accidents caused by natural disasters (Natech). The efficacy of this collaborative approach is impacted by comprehensive risk analyses and the game between government and enterprise. Predicated on these premises, the evolutionary game analysis of government–enterprise collaboration in coping with Natech risk was carried out. Firstly, an evolutionary game model of government–enterprise collaboration in coping with Natech risk was constructed. Secondly, the evolutionary stability strategy (ESS) was developed. Finally, these strategies were substantiated through numerical simulations. The findings revealed that at lower levels of Natech risk, enterprises will choose low investment in coping capacity building, and emergency management departments will choose delayed disposal. Under moderate Natech risk, enterprises will increase their investments if emergency management departments persist with delayed strategies, and emergency management departments will react proactively if enterprises persist with low investment. Under a high Natech risk, a pattern of strategic misalignment emerges between the two entities. This study contributes a theoretical basis for the optimization of government–enterprise collaboration in coping with Natech risks.

Humans are at the core of the social-technical system, and their behavioral errors affect the reliability and safety of the entire system in varying degrees. Occupational accidents and large-scale industrial accidents are often attributed to human errors, accounting for more than 80% of accidents. In view of the complexity of systems and the coupling of elements, a new HFA method is proposed based on a complex network. According to system safety theory, a complex network is regarded as a network composed of humans, matters, environments, and management, and the basic structure of the HFA network is summarized. On this basis, a system safety method of HFA is developed which proposes a universal human error causation model. Moreover, a network analysis method for human errors is also presented, which is a comprehensive analysis of human errors that have occurred. Finally, the above methods are applied to gas explosion accidents that occurred in China. Results show that the two methods proposed are universal to all fields, and their combination improves the effectiveness of human error management and promotes the targeted, proactive, systematic, and dynamic prevention of critical nodes and paths from a holistic perspective.

Students’ unsafe behavior is the main factor related to accidents in university laboratories. The safety climate is an important factor that affects individual safety behavior on the organizational level. Therefore, to improve the effect of university laboratory safety management, based on the theoretical framework of AMO and the SEM method, the influence of the laboratory safety climate on the safety compliance behavior and safety participation behavior of 500 university students in China was investigated and analyzed. The results show that safety ability and safety motivation play parallel mediating roles, and their synergistic effect promotes the generation of safety behavior: the safety climate in the laboratory has a direct positive effect on both safety compliance behavior and safety participation behavior; safety knowledge and safety skills have significant mediating effects on both safety compliance behavior and safety participation behavior in the laboratory safety climate; external safety motivation has a significant mediating effect on safety compliance behavior and safety participation behavior in the laboratory safety climate; and internal safety motivation does not have a mediating effect on safety compliance behavior and safety participation behavior in the laboratory safety climate. To improve students’ safety behavior performance, measures such as strengthening the construction of the dynamic improvement mechanism of the laboratory safety climate, optimizing the laboratory safety access system, and taking comprehensive measures to ensure the continuous positive influence of the safety climate on students’ safety behavior can be adopted.

In the process of continuously promoting safety management, major road accidents have become a key obstacle to improving overall road safety. The analysis of the overall road accidents hides the characteristics and laws of major road accidents. To clarify the causes of major road accidents, an analysis framework of “individual-vehicle-environment-management” is presented based on a literature review. Considering the interaction of the above variables, the fuzz-set qualitative comparative analysis (fsQCA) was used to explore the generating paths of major road accidents based on 42 road accidents. The work shows that: (1) Major road accidents are caused due to the interactive coupling of “individual-vehicle-environment-management” elements. Major road accidents can occur with normal driving behaviors or sufficient response and rescue capabilities. (2) General road accidents and relatively major road accidents are more likely to occur in the presence of driving behavior errors, favorable road facilities, and sufficient response and rescue capabilities. Moreover, major road accidents are more likely to occur due to large vehicles with adverse vehicle performances. (3) There are three path modes and five condition configurations in major road accidents, namely individual-vehicle-management induced, individual-vehicle-environment induced, and vehicle induced mode. This work enriches the accident causation mode from a new configuration perspective and explains which variable combinations lead to the occurrence of major road accidents. Clarification of the differences between general accidents and major accidents will help to accurately predict and restrain the development of major road accidents.

Organizational safety decisions rely heavily on safety information in today’s data-driven era, but there is a significant danger of information distortion that can compromise system safety. To address the issue of information distortion and enhance system safety, a new approach called information delayering safety management (IDSM) has been developed and implemented. The IDSM method combines delayering management mode and graph theory to study the relationship between information distortion management and delayering management. By using the delayering mode as a theoretical foundation for safety information management, information distortion can be reduced. The implementation of this approach from a graph theory perspective has been tested using a case study and has been proven to effectively enhance the reliability of safety information and ensure system safety. The minimum control set of the directed graph algorithm can be used to realize the whole network management of safety information distortion. The amount of safety information and signal noise can be controlled by adjusting connectivity, and safety information distortion can be regulated through the adjustment of structural holes and flow direction. Overall, IDSM offers a new, effective method for accident analysis and safety management, allowing safety professionals to make informed decisions based on robust advanced evidence.