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1,460 result(s) for "construction sites workers"
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Examining the perception of site workers of their risk-taking behaviours on construction sites in Ghana
PurposeAlthough many health and safety (H&S) studies have widely examined safety risk perception in the construction industry, few studies have explored how this perception influences site workers' risk-taking behaviours during construction. This study aims to examine how construction site workers perceive and judge safety risks in risk-taking behaviours of site workers for intervention safety policy framework that may encourage safe work.Design/methodology/approachThe study employed Pictorial-based Q-Methodology, which documented 63 picture scenarios of risk-taking behaviours from building sites and submitted them for validation from H&S inspectors. In total, 33 pictures emerged as having great potential to cause harm. After using these 33 pictures to elicit data from randomised site workers, the study used Frequency Tabulation, Relative Importance Index (RII) and Kruskal–Wallis Test to analyse the collected data. To fully explain the analysed data for deeper understanding, the study conducted Focus Group Discussions (FGDs) with these site workers to share the thoughts of site workers on these pictures.FindingsTwo distinctive pictures emerged from these analyses: one showing risk-taking behaviour likely to contract internal and skin disease and the other likely to fall from height. One of the implications is that construction site workers are unfamiliar with the dangerous contaminants in the materials the site workers use to work, which can potentially harm the site workers' skin and internal organs. Hence, site workers continue engaging in risk-taking behaviours. The other is that site workers are aware of and can mention catastrophic physical injuries attached to site workers' jobs. However, site workers continue engaging in risk-taking behaviours because of site workers' safety plights and rely on the favour and mercies of a supreme being as coping strategies to escape from these physical injuries.Originality/valueThis study is original in that the study uses picture scenarios of risk-taking behaviours to amass an empirical-based understanding of how site workers perceive and respond to H&S risks during construction. This piece of evidence is missing in the numerous research studies in this area. Again, the findings contribute to the state-of-the-art literature regarding risk-taking behaviours on construction sites.
Job site
Following directions from the job site boss, construction workers carry out important tasks at a construction site using heavy machinery, including a bulldozer, an excavator, and a loader.
Violent behaviour on construction sites: structural equation modelling of its impact on unsafe behaviour using partial least squares
PurposeWork on construction sites involves individuals with diverse character, temperament,age, physical strength, culture, religion and experience level. A good number of these individuals are also alleged to involve themselves in substance and alcohol abuse due to the physically demanding nature of their work. These could promote the prevalence of violence on construction sites which could in turn affect safety on construction sites. However, there is a lack of empirical insight into the effect of violent behaviour and unsafe behaviour on construction sites. This study therefore pioneers an empirical inquiry into the relationship between violent behaviour and unsafe behaviour on construction sites.Design/methodology/approachSeventeen violent behaviours and 15 unsafe behaviours were measured on 12 construction sites among 305 respondents using a structured questionnaire. A total of 207 valid questionnaire responses were collected from site workers. Partial least square–structural equation modelling (PLS-SEM) technique was used to examine the relationship between violent behaviour and unsafe behaviour.FindingsThe results indicate that there is a significant positive relationship between violent behaviour and unsafe behaviour on construction sites.Originality/valueThe findings from this study provide valuable insight into a less investigated dimension of the problem of construction site safety management. A focus on attitudinal issues such as how workers relate toward others and toward self should be an important consideration in safety improvement interventions on construction sites.
A Study on Occupational Health and Safety Practices on Construction Site Workers for Finding Discomfort Level
Both physical and mental comfort is essential in every workplace for improving productivity. Work environment distress is exceptionally normal for laborers utilized in proactive tasks; especially the specialists occupied with building locales in India are occupied with various kinds of active work in inconvenient conditions in outrageous environment dust, and so on. So, research should be crucial for concentrating on distress levels. Along these lines, the specialists need to consider sufficient security the executives rehearse notwithstanding appropriate working stances. Consequently, an endeavor was made in this review to distinguish the potential assignment execution-related danger factors and the related uneasiness levels for the specialists occupied with building destinations with the plan to give conceivable ergonomic arrangements, to such an extent that the exhibitions of laborers' can be improved to an ideal level. In this article, an effort is taken to measure both physical and mental (psychological) discomfort levels of construction site workers.
Analysis of lighting on exterior scaffoldings at different times of day
Lighting of the workplaces has a large impact on safety, proper vision comfort and visual efficiency. The aim of this article is to present an analysis of the lighting of the workplaces of people working on scaffoldings. The researches were carried out on 23 frame-type facade scaffoldings. The scaffoldings were examined from March to October 2017. Due to the specificity of works performed on scaffoldings, the researches were carried out in accordance with an individually adapted research program. The study analyzed the illuminance at particular points and variability in the lighting uniformity in a given workspace. Analysis of the obtained results showed a large variability in illuminance in workplaces of people working on scaffoldings. The measured illuminance levels in the workspaces on the one hand were higher than the minimum illuminance levels defined by the construction site standards, but on the other hand, illuminance levels that may dazzle the employees were also recorded. The luminous intensity depended on the season, time of day, location of the scaffolding, as well as the presence of a protective net installed on the scaffolding, which reduced the occurrence of values that could lead to situations in which the worker could be dazzled. The protective net installed on the scaffolding also reduces the differences in lighting in the scaffolding workspace, improving the lighting conditions of the workplaces.
Evaluation of DNA damage in construction-site workers occupationally exposed to welding fumes and solvent-based paints in Turkey
In this study, the comet assay was used to evaluate whether welding fume and solvent base paint exposure led to DNA damage in construction-site workers in Turkey. The workers (n = 52) were selected according to their exposure in the construction site and controls (n = 26) from the general population, with no history of occupational exposure. The alkaline comet assay, a standard method for assessing genotoxicity, has been applied in peripheral lymphocytes of all subjects. The mean percentages of DNA in tail (%DNAT) of each group were evaluated, including the comparisons between smokers in each different group and the duration of exposure. Significant increase in the mean %DNAT (p < 0.01) was observed in all exposed subjects (12.34 ± 2.05) when compared with controls (6.64 ± 1.43). Also %DNAT was significantly high (p < 0.01) in welders (13.59 ± 1.89) compared with painters (11.10 ± 1.35). There was a statistical meaningful difference in % DNAT between control and exposed smokers. Our findings indicate that exposure to welding fumes and paints induce genotoxic effect in peripheral lymphocytes, indicating a potential health risk for workers. Therefore, to ensure maximum occupational safety, biomonitoring is of great value for assessing the risk for construction workers.
Research on the Impact of Managers’ Safety Perception on Construction Workers’ Safety Behaviors
The construction industry is replete with significant safety risks, underscoring the necessity to comprehend the factors that shape workers’ safety behaviors for efficacious accident prevention. This study aims to investigate the impact of managers’ safety perception (MSP) on construction workers’ safety behaviors (WSBs), while also exploring the mediating roles of workers’ safety awareness (WSA) and workers’ safety competency (WSC). Utilizing a structural equation model (SEM), data were collected from 248 construction workers through a validated questionnaire. The findings indicate that MSP has a direct influence on WSBs (mean effect size = 0.065, p < 0.01) and an indirect effect on WSBs through enhanced WSA (effect size = 0.386, p < 0.01) and WSC (effect size = 0.392, p < 0.01). This research makes a contribution to the existing literature in several ways. First, it introduces a new measurement scale for MSP. Second, it highlights the direct and indirect effects on WSBs. Third, it emphasizes the importance of fostering safety awareness and competency among workers. In addition, the study offers practical implications for construction managers seeking to improve safety outcomes on-site.
Prevalence and risk factors of depression, anxiety, and stress among the Bangladeshi construction workers: A cross-sectional study
Construction workers are a population that is at risk for mental illnesses such as depression, anxiety, and even suicide due to the high stress and physical demands of their work. This study aimed to determine the prevalence and risk factors for depression, anxiety, and stress among Bangladeshi construction workers. From February 2022 to June 2022, community-based cross-sectional research was conducted among construction workers. Survey data was gathered using interviewer administered questionnaires with 502 participants from the construction sites. Data were collected based on the information related to socio-demographics, lifestyle, occupation, health hazards, and mental health (i.e., depression, anxiety, and stress). The results were interpreted using the chi-square test and logistic regression utilizing SPSS statistical software. The study revealed the prevalence rates of depression, anxiety, and stress among construction workers to be 17.9%, 30.3%, and 12%, respectively. Key findings indicate that construction workers who maintained a healthy sleep duration were 64% less likely to be depressed compared to those with poor sleep (AOR = 0.36; 95% CI: 0.21-0.61, p<0.001). Workers who did not experience breathing issues upon starting construction work had a 45% lower likelihood of experiencing depression (AOR = 0.55; 95% CI: 0.32-0.97, p = 0.037) and an 82% lower likelihood of experiencing anxiety (AOR = 0.18; 95% CI: 0.11-0.30, p<0.001). Bricklayer construction workers were 72% less likely to experience stress (AOR = 0.28; 95% CI: 0.08-0.95, p = 0.041), and workers without breathing issues after starting construction work were 66% less likely to experience stress (AOR = 0.34; 95% CI: 0.17-0.66, p = 0.001). The study found that depression, anxiety, and stress are prevalent among construction workers in Bangladesh, with breathing issues as a significant risk factor. Thus, there is a need for effective measures to reduce these problems and provide a safe working environment for construction workers to ensure their productivity and the country's overall growth.
Unmanned Aerial Systems and Deep Learning for Safety and Health Activity Monitoring on Construction Sites
Construction is a highly hazardous industry typified by several complex features in dynamic work environments that have the possibility of causing harm or ill health to construction workers. The constant monitoring of workers’ unsafe behaviors and work conditions is considered not only a proactive but also an active method of removing safety and health hazards and preventing potential accidents on construction sites. The integration of sensor technologies and artificial intelligence for computer vision can be used to create a robust management strategy and enhance the analysis of safety and health data needed to generate insights and take action to protect workers on construction sites. This study presents the development and validation of a framework that implements the use of unmanned aerial systems (UASs) and deep learning (DL) for the collection and analysis of safety activity metrics for improving construction safety performance. The developed framework was validated using a pilot case study. Digital images of construction safety activities were collected on active construction sites using a UAS, and the performance of two different object detection deep-learning algorithms/models (Faster R-CNN and YOLOv3) for safety hardhat detection were compared. The dataset included 7041 preprocessed and augmented images with a 75/25 training and testing split. From the case study results, Faster R-CNN showed a higher precision of 93.1% than YOLOv3 (89.8%). The findings of this study show the impact and potential benefits of using UASs and DL in computer vision applications for managing safety and health on construction sites.