## 4 Discussion  
In this study, ANOVA analysis revealed the time distribution of construction accidents in China. From time distribution results, a problem of poor construction environment management was revealed. Specifically, natural conditions such as exceedingly high temperatures and heavy rain in summer increased construction accident numbers significantly. Increased workloads led to exhaustion of construction workers, which in turn contributed to a higher risk of construction accidents. Since there are interactive relationships between person, environment and behavior [45], providing a safe environment is necessary to ensure the safe behavior of construction workers. A safety plan developed by carefully examining project activities and preventing associated hazards is a tool for facilitating such a task [46]. For example, regular inspections and audits to identify hazards, reduction of workload for workers when natural condition is poor and avoidance of overtime works. Additionally, no evidence existed to support any day of the week being more dangerous than any other days, which is not consistent with the \"Monday effect\" theory [34]. However, the finding was built on existing data and similar results that workers may work continuously can also be found in the past study [31]. An improved labor manage plan should be conducted; for example, scheduling an adequate number of workers on construction sites during high workload hours. For accident number per hour, the virtual peak of accidents at midnight revealed cases in which some construction managers concealed the accidents and did not immediately report them to the local authority [36]. In this case, polices regarding monitor of accidents reporting should be generated by the Chinese government to prompt construction companies to improve safety management. Questionary [46; 47] would be a good method for supervision and inspection of safety situations on site. A mathematical modeling based on factor analysis, which is the construction safety evaluation score equation, was developed to illustrate regional distribution of construction accidents in China. Qinghai Province ranked the worst in construction safety because of  
Figure 8: Construction accident evaluation score of 31 regions in China. hazards of construction in high-altitude regions [41; 42; 43]. The low education/skill level of construction workers in Qinghai Province also contributed to the bad safety performance since the workers may ignore contractual obligations and exhibit lack of safety awareness. When construction workers become more aware of their responsibilities for hazard prevention, they will exhibit more interest in maintaining a safe and healthy work site [47]. Thus, construction safety and health training for construction workers should be conducted to improve construction safety in Qinghai Province [48; 49]. Virtual and Augmented Reality (VR/AR) have been suggested by past studies [50; 51] for such a training. Through creating forgiving environments for visualizing complex workplace situations, building up risk-preventive knowledge and undergoing training, hazard perception skills of construction workers will be improved. For example, VR/AR can be introduced in Qinghai Province to stimulate natural working conditions for construction workers to enhance their cognitive abilities, such as decision-making, attention, reaction time, contrast sensitivity and visual pursuit [52]. Since traditional measurement of safety is after-the-fact measurement, which means evaluations always took place after the fatal or injured accidents occurred, it has the problem of lagging indicators [46; 53]. Therefore, this modeling is able to reflect current construction safety situation among different regions in China, which will serve as a reference for the government to create regulations to prevent demonstrated hazards in the future. Additionally, this model will exhibit economic benefit for stakeholders such as the owner and construction manager.