Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text Mining

Li, Ping; He, Yulin; Li, Zhengguang

doi:10.3389/fpsyg.2022.886390

Cited by 11 publications

(8 citation statements)

References 38 publications

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“…Work behavior is a major determinant of occupational health: 90% of the accidents on construction sites are caused by human errors (28) and are underlined by workers' unsafe behaviors (29)(30)(31).…”

Section: Discussionmentioning

confidence: 99%

Occupational risk perception of construction workers: a cross sectional study

Mastrantonio,

Cofini,

Mastrangeli

et al. 2024

Front. Public Health

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IntroductionConstruction workers are often exposed to significant injury risk. The aim of our study is to assess their occupational hazards and injury risk perception.MethodsWe administered 256 questionnaires to construction workers. The survey was aimed at collecting information regarding occupational risk and hazard exposure perception, risk control and behavioral self-assessment. We analyzed the data obtained in order to highlight any associations between injury risk perception and anamnestic, occupational, behavioral or perceptual factors.ResultsParticipants were prevalently males (92.37%) aged 21–60 years (94%). They showed a job seniority level of 21.3 (11.51) on average and, ranging from a 1 to 10 score, a danger awareness of 6.8 (2.9), a lack of prevention measures 6.0 (3.3), an improper behavior of 7.3 (2.7), an unpredictable fate of 6.0 (2.9). These factors resulted significantly associated with the injury risk perception. Multivariable analysis highlighted that the injury risk perception was associated with the lack of prevention measure and unpredictable fate. On the other hand, we found a negative association with the workers’ improper behaviors.ConclusionWorkers’ perception showed fairly uniform average values even when occupational risk was demonstrated. Our analysis suggests a positive correlation between injury risk perception and the idea that injuries are due both to fate and to chance; it also shows a negative correlation between injury risk perception and the idea that injuries are due to improper behavior. A lack of fully comparable studies confirms the need for further studies on the injury risk perception of construction workers.

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Section: Discussionmentioning

confidence: 99%

Occupational risk perception of construction workers: a cross sectional study

Mastrantonio,

Cofini,

Mastrangeli

et al. 2024

Front. Public Health

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“…From the direct influence matrix O, the normalized direct influence matrix was calculated based on Equation (1).…”

Section: Factor Attribute Analysismentioning

confidence: 99%

“…With the continuous advancement of urban and rural infrastructure, the construction industry has also developed by leaps and bounds [1]. Nowadays, the trend of complexity in the construction industry is obvious, and construction workers need a more solid technical foundation [2].…”

Section: Introductionmentioning

confidence: 99%

Research on the Coupled Relationship of Factors Influencing Construction Workers’ Unsafe Behaviors: A Hybrid DEMATEL-ISM-MICMAC Approach

Liu,

Liang,

Jiang

et al. 2023

Advances in Civil Engineering

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The unsafe behavior of construction workers is the most direct reason of frequent construction site accidents. In order to improve the safety management of construction sites and figure out the causal relationship among the influencing factors in the field of construction workers’ unsafe behaviors, literature research, questionnaire survey, decision-making trial, and evaluation laboratory—interpretive structural modeling—crossimpact matrix multiplication applied to classification (DEMATEL-ISM-MICMAC) methods were used in combination in this thesis. The analysis of collected data was carried out in three dimensions: individual, organizational environment, and safety management. A framework about influencing factors of construction workers’ unsafe behaviors was constructed. DEMATEL-ISM was used to construct the explanatory structural model, which to analyze the influence relationships and hierarchical relationships among factors. MICMAC method was used to analyze the driving dependency. ISM model consists of six parts, the bottom of which includes three influencing factors: work environment, safety supervision, and concernment of superior. With characteristics of high drive and low dependence, the bottom layer are the root causes of construction workers’ unsafe behaviors. Work environment and concernment of superior are the core indicators of it. The intermediate layer with a low drive and low dependence covers six factors: psychological status, physical health, professional skills, organizational climate, work quota, and safety plan. It is the indirect factor to influence construction workers’ unsafe behaviors. The top layer is composed of safety awareness, safety education, and technical delivery. Safety awareness is the core of individual dimension, showing the characteristics of low drive and high dependence, is the direct factor to influence construction workers’ unsafe behaviors. Based on the DEMATEL-ISM-MICMAC method, the methodology to reduce construction workers’ unsafe behaviors was proposed.

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“…The latent Dirichlet allocation (LDA) method is characterized by its modularity and extensibility, which enables the incorporation of more complicated models to enhance the accuracy of text mining. It is widely used in studies such as identifying the unsafe behavior of construction workers and its influencing factors (Li, He, & Li, 2022). Text mining techniques have improved the objectivity of the factor identification process but are often seen as a “black box”, making it difficult to interpret the results and understand the impact of the factors on behavior.…”

Section: Introductionmentioning

confidence: 99%

Exploring the determinants of health‐promoting behaviors among miners: A text mining and meta‐analysis

Wang

Guo

Yin

et al. 2023

Applied Psych Health & Well

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The health‐promoting behaviors of miners are of great significance to their physical and mental well‐being. With a focus on enhancing their overall health, this study aimed to explore the determinants and influencing mechanisms of health‐promoting behaviors in miners. Initially, the latent Dirichlet allocation (LDA) model was utilized to extract topical keywords from literature over the last 23 years and to categorize the determinants based on integrating the health promotion model and the health belief model. Subsequently, a meta‐analysis was performed based on 51 related empirical research to explore the mechanisms between determinants and health‐promoting behaviors. The results indicated that (1) the factors influencing miners' health‐promoting behaviors can be divided into four dimensions: physical environment, psychosocial environment, individual characteristics, and health beliefs. (2) Noise was negatively related to health‐promoting behaviors, while protective equipment, health culture, interpersonal relationships, health literacy, health attitudes, and income were positively related to health‐promoting behaviors. (3) Protective equipment and health literacy were positively related to perceived threat, whereas interpersonal relationships were positively related to perceived benefits. This study sheds light on the mechanisms influencing miners' health‐promoting behaviors and could inform behavioral interventions in occupational health.

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Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text Mining

Cited by 11 publications

References 38 publications

Occupational risk perception of construction workers: a cross sectional study

Occupational risk perception of construction workers: a cross sectional study

Research on the Coupled Relationship of Factors Influencing Construction Workers’ Unsafe Behaviors: A Hybrid DEMATEL-ISM-MICMAC Approach

Exploring the determinants of health‐promoting behaviors among miners: A text mining and meta‐analysis

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