Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

Jiang, Hui; Wang, Jianping; Han, Yu; Yin, Hang

doi:10.3390/info9020039

Cited by 16 publications

(7 citation statements)

References 10 publications

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“…This finding suggests that the control and management of construction personnel’s unsafe behavior not only enhances safety in the short term, but also has an impact on the final evolutionary outcome. This finding is also supported by a number of existing studies (Choi et al, 2017; Jiang et al, 2018). Therefore, safety education should be increased in the management process to enhance safety intentions and build a psychological contract for safety.…”

Section: Simulation Analysissupporting

confidence: 86%

Simulation Study of the Propagation of Underground-Construction Worker Unsafe Behavior

Chen,

Ma,

Long

2023

Sage Open

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The proliferation of unsafe behavior in underground-construction sites has been widespread, which leads to accidents in underground construction from time to time. Accidents are not only a threat to the personal safety of construction workers but also cause property losses. Intervention on how to prevent the propagation of unsafe behavior among underground-construction workers in a timely manner, further improvement in the safety-management level of construction enterprises, and ensuring smooth implementation of projects are urgent measures to solve this problem. In this study, an SCIMR (Susceptible-Contacted-Infective-Removed) model was developed to study the spread of unsafe behavior among underground-construction workers. Increase in the improvement, control, and awareness rates could provide a preventive effect on the spread of unsafe behavior among underground-construction workers, whereas increase in the adoption and forgetfulness rates could facilitate increase in unsafe behavior. This work combined the SIR (Susceptible-Infective-Removed) theory with the underground-construction context to enrich the theory of underground-construction safety personnel management, which provides a reference solution and suggestions for construction companies to intervene and predict the proliferation of unsafe behavior and a novel method of planning and direction for safety management.

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Section: Simulation Analysissupporting

confidence: 86%

Simulation Study of the Propagation of Underground-Construction Worker Unsafe Behavior

Chen,

Ma,

Long

2023

Sage Open

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“…Commonly defined elements within safety climate include but are not limited to management commitment (Zahoor et al, 2017), co-workers caring and communication (Gao et al, 2016), and safety behavior (Zhang et al, 2017). A high attention within safety climate has been paid on workers, such as worker behavior (Jiang et al, 2018), safety compliance (Xia et al, 2018), and perceptions (Stiehl and Forst, 2018).…”

Section: Safety Climate and Safety Culture 352mentioning

confidence: 99%

A science mapping approach based review of construction safety research

et al. 2019

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This study adopted a three-step holistic review approach consisting of bibliometric review, scientometric analysis, and in-depth discussion to gain a deeper understanding of the research development in construction safety. Focusing on a total of 513 journal articles published in Scopus, the influential journals, keywords, scholars, and articles in the domain of construction safety were analyzed. For example, simulation and fall from height related topics, although not with the highest occurrence of being studied, had the highest impact in terms of average citation received per year. It was found that research in the recent 10 years have been extended to the developing countries and regions with a more variety of research topics, such as BIM, and data mining, etc. Articles related to applying BIM in safety management received the highest average normalized citation. A follow-up qualitative discussion targeted three main objectives: summarizing mainstream research topics, identifying existing research gaps, and proposing future research directions. Five main categories were aligned, namely safety climate and safety culture, application of information technologies, worker-oriented safety, safety management program, and hazard recognition and risk assessment. Based on the above, a framework and future research directions were proposed which could serve both the academic community and practical fields in multiple themes within construction safety, including: an adaptable safety climate and safety culture model; prototypes, continuous development, and readiness of 31 applying information technologies in safety management; subgroups factors linked to cognitive 32 models of workers' safety perceptions and behaviors; and artificial intelligence and smart 33 technologies into safety program management. 34

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“…The closer the Cronbach’s α coefficient is to 1, the higher the reliability level of the scale. Cronbach’s α should not be lower than 0.5 [ 59 ]. Each variable in the survey scale must be measured using multiple items in multiple dimensions, and the reliability of each measurement must be tested.…”

Section: Methodsmentioning

confidence: 99%

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

Yang

Wang

Zhu

et al. 2022

IJERPH

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The unsafe behavior of miners seriously affects the safety of deep mining. A comprehensive evaluation of miners’ unsafe behavior in deep coal mines can prevent coal mine accidents. This study combines HFACS-CM, SEM, and SD models to evaluate miners’ unsafe behaviors in deep coal mining. First, the HFACS-CM model identifies the risk factors affecting miners’ unsafe behavior in deep coal mines. Second, SEM was used to analyze the interaction between risk factors and miners’ unsafe behavior. Finally, the SD model was used to simulate the sensitivity of each risk factor to miners’ unsafe behavior to explore the best prevention and control strategies for unsafe behavior. The results showed that (1) environmental factors, organizational influence, unsafe supervision, and unsafe state of miners are the four main risk factors affecting the unsafe behavior of miners in deep coal mines. Among them, the unsafe state of miners is the most critical risk factor. (2) Environmental factors, organizational influence, unsafe supervision, and the unsafe state of miners have both direct and indirect impacts on unsafe behaviors, and their immediate effects are far more significant than their indirect influence. (3) Environmental factors, organizational influence, and unsafe supervision positively impact miners’ unsafe behavior through the mediating effect of miners’ unsafe states. (4) Mental state, physiological state, business abilities, resource management, and organizational climate were the top five risk factors affecting miners’ unsafe behaviors. Taking measures to improve the adverse environmental factors, strengthening the organization’s supervision and management, and improving the unsafe state of miners can effectively reduce the risk of miners’ unsafe behavior in deep coal mines. This study provides a new idea and method for preventing and controlling the unsafe behavior of miners in deep coal mines.

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Structural Equation Model Analysis of Factors in the Spread of Unsafe Behavior among Construction Workers

Cited by 16 publications

References 10 publications

Simulation Study of the Propagation of Underground-Construction Worker Unsafe Behavior

Simulation Study of the Propagation of Underground-Construction Worker Unsafe Behavior

A science mapping approach based review of construction safety research

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

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