Poor electrical hazard recognition is a widespread issue in the production industry. Hazard perception has impacts workers’ hazard recognition, causing them to experience unanticipated hazard exposure and suffer catastrophic injuries. To improve the factors of affecting hazard perception, the current study examined hazard recognition as an everyday visual search task. A comparative test was carried out combining the advantages and disadvantages of the two test methods. It was confirmed that the virtual image test data can replace the real image test data and demonstrate superior flexible settings performance, so the virtual image test method is used. A hazard perception test method based on wearable eye tracking technology was proposed to analyze the eye-tracking data (i.e., fixation, count, search duration, mean fixation duration, eye tracking, and hazard recognition performance feedback) were compared between experts in the field of electrical safety: skilled workers with at least five years of work experience and workers who had been on the job for less than a year. It was found that experts had a better hazard recognition accuracy and missed detection rate than other workers. Experts’ hazards research track was more concised and paid less attention time. This advantage is most obvious in complex risk environments. The findings also suggest that workers who have different working years was not obvious visual search patterns other than the search duration. As can be seen the work experience is not an absolute factor in improving hazard perception. The present research will be useful to understand the influence of working years on hazard perception and provide a theoretical basis for corresponding training.

Confined space operations are characterized by environmental complexity and latent hazards, where failures in human risk perception represent a primary precursor to industrial accidents, posing a significant challenge to sustainable occupational health and safety (OHS) management. This study investigates the mechanism by which individual traits (risk propensity) influence risk perception performance through cognitive processes (inattentional blindness). Utilizing psychological scales and eye-tracking technology, we quantitatively analyzed the visual search behaviors of participants with varying risk propensities across typical confined space hazard scenarios. The results indicate that individuals with high risk propensity tend to adopt a “random-exploratory superficial scanning strategy,” characterized by significantly delayed Time to First Fixation (TFF) and lower Fixation Count (FC) within critical hazard areas compared to the low-risk propensity group. Statistical analysis reveals that inattentional blindness exerts a full mediating effect between risk propensity and risk perception performance, accounting for 72.56% of perception failures. This research confirms that an imbalance in attentional resource allocation leads to higher cognitive omission of salient hazards among high-risk propensity individuals. These findings provide a theoretical foundation for cognitive reliability assessment and the design of sustainable safety training programs in high-risk industries, ultimately contributing to the social sustainability and well-being of industrial workforces.

Luminance deficiency of road lighting is one of the primary reasons for night-driving risk. The randomness and uncertainty of accidents caused by luminance deficiency have increased due to vehicle liquidity, and it causes difficult in accident analysing and preventing. In order to ensure lighting safety for night-driving vehicles, according to relevance between lighting intensity and visibility and streetlamp location principle, MATLAB was used to optimize road lighting evenness model. Compared with optimization model analytical data, night luminance of forty-two main roads in Harbin was measured actually by TES-1336A digit luminance acquisition system. The model can effectively design parameters selection of road lighting. The standpoint that luminance evenness is one of the indirect reasons for traffic accident is provided in this paper. Then theoretical basis of streetlamps modification projects for visibility deficiency roads and night-driving accident analyse was established.