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Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Occupational Safety and Health".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 11241

Special Issue Editors

Prof. Dr. Ruipeng Tong

E-Mail Website
Guest Editor
School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
Interests: behavioral safety management; occupational psychological health; environmental risk assessment; safety and health at work
Dr. Xiaoyi Yang

E-Mail Website
Guest Editor
School of Environmental and Chemical Engineering, Jiangsu Ocean University, Jiangsu 222005, China
Interests: occupational health risk; behavioral safety management; risk modeling and management

Special Issue Information

Dear Colleagues, 

Accidents and injuries can be avoided effectively with behavioral safety management, which can further contribute to employee health and safety at work. When it comes to the exploration of behavioral safety management, investigations related to both individual occupational psychological health and risk factors in the environment should be involved.

There are numerous problems that urgently need to be resolved, for example, aiming at promoting employees’ health and safety, how to execute precise management of behavioral safety, how to accurately identify occupational psychological factors, and how to precisely assess environmental risk. For these issues, with the emergence of new theories, new methods, new techniques, and new equipment in recent years, new concepts and paradigms can be employed to explore and resolve them; new approaches and opportunities are also presented.

This Special Issue aims to focus on the application of thinking paradigms, methodologies, and techniques borrowed from different disciplines and fields on exploring topics related to “Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work”. In addition, this Special Issue invites original and innovative research papers alongside related literature that discuss theoretical and practical solutions.

The sub-topics related to this Special Issue include but are not limited to:

  • Safety behavior and unsafe behavior at work;
  • Modeling, assessment, and intervention of behavioral safety;
  • Identification of occupational psychological factors;
  • Assessment and intervention of occupational psychological health;
  • Modeling, assessment, and management of environmental risk;
  • The interrelationship among environmental risk, occupational psychology, and behavioral safety;
  • Application of new techniques and equipment for exploring the topics in this Special Issue.

Prof. Dr. Ruipeng Tong
Dr. Xiaoyi Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • safety and health at work
  • safety behavior
  • unsafe behavior
  • behavioral safety management
  • occupational psychological health
  • environmental risk assessment

Published Papers (6 papers)

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30 pages, 6755 KiB  
Article
Investigation of Unsafe Acts Influence Law Based on System Dynamics Simulation: Thoughts on Behavior Mechanism and Safety Control
by Xuecai Xie, Jun Hu, Gui Fu, Xueming Shu, Yali Wu, Lida Huang and Shifei Shen
Int. J. Environ. Res. Public Health 2023, 20(6), 4733; https://doi.org/10.3390/ijerph20064733 - 8 Mar 2023
Cited by 2 | Viewed by 1626
Abstract
In modern safety management, it is very important to study the influence of the whole safety system on unsafe acts in order to prevent accidents. However, theoretical research in this area is sparse. In order to obtain the influence law of various factors [...] Read more.
In modern safety management, it is very important to study the influence of the whole safety system on unsafe acts in order to prevent accidents. However, theoretical research in this area is sparse. In order to obtain the influence law of various factors in the safety system on unsafe acts, this paper used system dynamics simulation to carry out theoretical research. First, based on a summary of the causes of the coal and gas outburst accidents, a dynamic simulation model for unsafe acts was established. Second, the system dynamics model is applied to investigate the influence of various safety system factors on unsafe acts. Third, the mechanism and the control measures of unsafe acts in the enterprise safety system are studied. This study’s main result and conclusions are as follows: (1) In the new coalmines, the influence of the safety culture, safety management system, and safety ability on the safety acts were similar. The order of influence on the safety acts in production coalmines is as follows: safety management system > safety ability > safety culture. The difference is most evident in months ten to eighteen. The higher the safety level and safety construction standard of the company, the greater the difference. (2) In the construction of the safety culture, the order of influence was as follows: safety measure elements > safety responsibility elements = safety discipline elements > safety concept elements. It shows the difference in influence from the 6th month and attains its maximum value from the 12th month to the 14th month. (3) In the construction of the safety management system, the degree of influence in new coalmines was as follows: safety policy > safety management organization structure > safety management procedures. Among them, especially in the first 18 months, the impact of the safety policy was most apparent. However, in the production mine, the degree of influence was as follows: safety management organization structure > safety management procedures > safety policy, but the difference is very small. (4) The degree of influence on the construct of safety ability was as follows: safety knowledge > safety psychology = safety habits > safety awareness, but the difference on the impact was small. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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18 pages, 3321 KiB  
Article
Influence of Coal Mining on Historical Buildings: Case Study in Shanxi
by Yingfeng Sun, Shuaipeng Zhu, Zhiqian Peng, Chunran Yang, Biao Zhou, Xiaoliang Wang and Yixin Zhao
Int. J. Environ. Res. Public Health 2023, 20(2), 1543; https://doi.org/10.3390/ijerph20021543 - 14 Jan 2023
Cited by 4 | Viewed by 1681
Abstract
Numerous historical buildings exist in Shanxi Province, a major coal producing area in China, so there exist many overlapping areas between ancient wooden buildings and coal mining. Coal mining in overlapping areas will lead to surface subsidence, which will have an impact on [...] Read more.
Numerous historical buildings exist in Shanxi Province, a major coal producing area in China, so there exist many overlapping areas between ancient wooden buildings and coal mining. Coal mining in overlapping areas will lead to surface subsidence, which will have an impact on historical buildings. Based on the distribution of historical buildings and the distribution and mining of coal resources in Shanxi Province, this paper concludes that the overlapping areas of coal mining and ancient wooden buildings in Shanxi Province are mainly concentrated in Changzhi City, and the Lu’an mining area in Changzhi City is selected as the research object. In addition, using the gray correlation analysis method, the surface subsidence coefficient, which characterizes the intensity of mining subsidence, is used as the reference sequence. Seven factors selected from the geological conditions and mining conditions of the Lu’an mining area are used as the comparison sequence to calculate the gray correlation between each influencing factor and the surface subsidence coefficient, and to obtain that geological factors such as the nature of the overlying rock layer, bedrock thickness and dip angle of the coal seam, and mining factors such as mining height, average mining depth and working face size largely determine the surface subsidence coefficient. The surface subsidence in the overlap area could largely be influenced by geological factors such as the nature of the overlying rock layer, bedrock thickness and coal seam inclination, and mining factors such as mining height, average mining depth and working face size. Finally, we investigate the possible effects of surface subsidence on ancient wooden buildings in the overlapping area with the surface subsidence and formation mechanism and propose technical measures to reduce the effects of surface subsidence due to coal mining on historical buildings in the overlapping area. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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22 pages, 5782 KiB  
Article
The Scenario Construction and Evolution Method of Casualties in Liquid Ammonia Leakage Based on Bayesian Network
by Pengxia Zhao, Tie Li, Biao Wang, Ming Li, Yu Wang, Xiahui Guo and Yue Yu
Int. J. Environ. Res. Public Health 2022, 19(24), 16713; https://doi.org/10.3390/ijerph192416713 - 13 Dec 2022
Cited by 1 | Viewed by 1749
Abstract
In China, food-freezing plants that use liquid ammonia, which were established in the suburbs in the 1970s, are being surrounded by urban built-up areas as urbanization progresses. These plants lead to extremely serious casualties in the event of a liquid ammonia leakage. The [...] Read more.
In China, food-freezing plants that use liquid ammonia, which were established in the suburbs in the 1970s, are being surrounded by urban built-up areas as urbanization progresses. These plants lead to extremely serious casualties in the event of a liquid ammonia leakage. The purpose of this thesis was to explore the key factors of personnel protection failure through the scenario evolution analysis of liquid ammonia leakage. The chain of emergencies and their secondary events were used to portray the evolutionary process of a full scenario of casualties caused by liquid ammonia leakage from three dimensions: disaster, disaster-bearing bodies, and emergency management. A Bayesian network model of liquid ammonia leakage casualties based on the scenario chain was constructed, and key nodes in the network were derived by examining the sensitivity of risk factors. Then, this model was applied to a food-freezing plant in Beijing. The results showed that inadequate risk identification capability is a key node in accident prevention; the level of emergency preparedness is closely related to the degree of casualties; the emergency disposal by collaborative onsite and offsite is the key to avoiding mass casualties. A basis for emergency response to the integration of personnel protection is provided. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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18 pages, 5728 KiB  
Article
Study on Dynamic Probability and Quantitative Risk Calculation Method of Domino Accident in Pool Fire in Chemical Storage Tank Area
by Mingqing Su, Lijun Wei, Shennan Zhou, Guoliang Yang, Rujun Wang, Yingquan Duo, Sining Chen, Mingliang Sun, Jiahang Li and Xiangbei Kong
Int. J. Environ. Res. Public Health 2022, 19(24), 16483; https://doi.org/10.3390/ijerph192416483 - 8 Dec 2022
Cited by 6 | Viewed by 1857
Abstract
The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant [...] Read more.
The domino event caused by fire is one of the common accidents in hydrocarbon storage tank farms, which further expands the severity and scope of the accident. Due to the different failure sequence of the storage tanks in a domino accident, the radiant heat generated by the failed storage tank to the target tank is different. Based on the influence of this synergistic effect, this study combined the Monte Carlo algorithm and FSEM, and proposed a fast real-time probability calculation method for a fire domino accident in a storage tank area, for the first time. This method uses the Monte Carlo algorithm to simulate all accident scenarios, and obtains the evolution of multiple escalation fire domino accidents under the synergistic effect according to FSEM, and then calculates the real-time failure probability and risk. Based on a comprehensive analysis of the accident propagation path, this method avoids the problem of a large amount of calculation, and is conducive to the rapid and effective analysis of the fire risk in a storage tank area and the formulation of corresponding risk reduction measures. The effectiveness and superiority of the proposed method were proved by a case study. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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14 pages, 2284 KiB  
Article
Research on Coal Mine Building Compliance Inspection System Based on Accident Causation and BIM in China
by Xinchun Li, Xiaolin Zhang, Quanlong Liu, Yueqian Zhang, Xiao Gu and Zunxiang Qiu
Int. J. Environ. Res. Public Health 2022, 19(24), 16466; https://doi.org/10.3390/ijerph192416466 - 8 Dec 2022
Cited by 2 | Viewed by 1360
Abstract
Coal mine construction projects have high risks, and non-compliant designs generated in the design stage will have adverse effects on subsequent construction and production stages. Therefore, it is of great importance to conduct effective preconstruction compliance inspections on coal mine construction designs. To [...] Read more.
Coal mine construction projects have high risks, and non-compliant designs generated in the design stage will have adverse effects on subsequent construction and production stages. Therefore, it is of great importance to conduct effective preconstruction compliance inspections on coal mine construction designs. To make the compliance check of coal mine building design more rapid and effective, and to reduce the risks arising from the design phase, this study built a compliance inspection system for coal mine building design from the causes of coal mine accidents, using the Word2Vec word similarity calculation method and BIM platform secondary development technology. The system was tested and was found to be able to detect a 92.82% non-compliant component rate where the correct inspection rate was 97.68%. In addition, the inspection time for a single component was only 0.23 s. The construction of the compliance inspection system based on accident causes has changed the extensive inspection mode in the traditional manual model inspection, and the inspection no longer depends on the experience of inspectors, thus improving the efficiency and accuracy of coal mine building model inspection. The inspection focuses on the building elements with high risks, which achieves the purpose of risk control in the design stage. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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16 pages, 957 KiB  
Brief Report
Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis
by Jin Tian, Yundou Wang and Shutian Gao
Int. J. Environ. Res. Public Health 2022, 19(23), 16249; https://doi.org/10.3390/ijerph192316249 - 5 Dec 2022
Cited by 2 | Viewed by 2164
Abstract
Background and Objectives: Coal mine injuries commonly occur, affecting both the safety and health of miners, and the normal operation of the coal mine. Accordingly, this study aimed to explore the regularity of injury and injury-related risk factors in coal mines in China [...] Read more.
Background and Objectives: Coal mine injuries commonly occur, affecting both the safety and health of miners, and the normal operation of the coal mine. Accordingly, this study aimed to explore the regularity of injury and injury-related risk factors in coal mines in China so as to establish a scientific basis for reducing the incidence and promoting the prevention and control of injuries. Methods: A meta-analysis of casualty cases and injury-related risk factors from 1956 to 2017 in China was conducted utilizing data from six databases, including CNKI, Web of Science, PubMed, Medline, Embase, and Wanfang data. Summary estimates were obtained using random effects models. Results: There were statistically significant variations in coal mine accident types, types of work, injury sites, age, experience, months, and shifts (p < 0.001). Eight types of accidents were susceptible to the risk of injury, and the greatest risk was presented by roof-related accidents (odds ratio (OR) = 0.46, 95% confidence interval (CI) = 0.32–0.6). Coal miners and drillers were at a greater risk of injury (OR = 0.39, 95% CI = 0.35–0.44; OR = 0.22, 95% CI = 0.17–0.26, respectively). The extremities and the soft tissues of the skin were at the greatest risk of injury (OR = 0.44, 95% CI = 0.3–0.58; OR = 0.23, 95% CI = 0.1–0.48, respectively). Compared with other ages, miners aged 21–30 were at a greater risk of injury (21–30 years, OR = 0.45, 95% CI = 0.42–0.47; 31–40 years, OR = 0.29, 95% CI = 0.25–0.32; <20 years, OR = 0.13, 95% CI = 0.03–0.23; >40 years, OR = 0.17, 95% CI = 0.09–0.25). Compared with other miners, those with 6–10 years of experience were at a greater risk of injury (6–10 years, OR = 0.29, 95% CI = 0.25–0.32; 2–5 years, OR = 0.33, 95% CI = 0.25–0.41; <1 year, OR = 0.22, 95% CI = 0.08–0.33; >11 years, OR = 0.22, 95% CI = 0.17–0.27). During the months of July to September, the risk of injury was elevated (7–9th months, OR = 0.32, 95% CI = 0.25–0.39; 10–12th months, OR = 0.24, 95% CI = 0.16–0.31; 1st–3rd months, OR = 0.22, 95% CI = 0.16–0.28; 4–6th months, OR = 0.21, 95% CI = 0.16–0.27). In the three-shift work system, the risk of injury was higher during night shifts (22:00–06:00, OR = 0.43, 95% CI = 0.3–0.56; 14:00–22:00, OR = 0.3, 95% CI = 0.23–0.27; 06:00–14:00, OR = 0.27, 95% CI = 0.18–0.35). Conclusions: The results of this research study reveal that coal mine injuries are prevalent among coal miners. These injuries are often related to the age, experience, months of work, and the three-shift work system of miners. Full article
(This article belongs to the Special Issue Behavioral Safety Management, Occupational Psychological Health, and Environmental Risk Assessment at Work)
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