Health risk assessment and prevalence of work-related musculoskeletal disorders among the aged brick molders, in India

The Brickfield Industry is the major and oldest informal industry in India, where millions of brickfield workers make their livelihood. Aged brickfield workers are also involved in different activities in the brickfield, especially in brick mold activities owing to poor socioeconomic conditions. A cross-sectional study was designed to determine the prevalence of work-related musculoskeletal disorders among the aged brick molders and compare them with aged control subjects. A Nordic Questionnaire was applied to assess the discomfort felt among both groups of workers and the Rapid Upper Limb Assessment (RULA) method was used to evaluate posture during their job. The RULA posture analysis showed that the posture adopted by aged brick molders required changes immediately. The result of the ART tool also stated that the brick molding activities' exposure level was high and required further investigation urgently. The study concluded that due to working in a forward bending posture for a prolonged period, aged brickmolders suffered from severe low back and knee pain along with upper-limb disorders due to repetitive activities.

Development of the Korean construction job exposure matrix (KoConJEM) based on experts' judgment using the 60 consolidated occupations for construction workers

BACKGROUND

This study was conducted as an effort to develop a Korean construction job exposure matrix (KoConJEM) based on 60 occupations recently consolidated by the construction workers mutual aid association for use by the construction industry.

METHODS

The probability, intensity, and prevalence of exposure to 26 hazardous agents for 60 consolidated occupations were evaluated as binary (Yes/No) or four categories (1 to 4) by 30 industrial hygiene experts. The score for risk was calculated by multiplying the exposure intensity by the prevalence of exposure. Fleiss' kappa for each hazardous agent and occupation was used to determine agreement among the 30 experts. The JEM was expressed on a heatmap and a web-based dashboard to facilitate comparison of factors affecting exposure according to each occupation and hazardous agent.

RESULTS

Awkward posture, heat/cold, heavy lifting, and noise were hazardous agents regarded as exposure is probable by at least one or more experts in all occupations, while exposure to asphalt fumes was considered hazardous in the smallest number of occupations (n = 5). Based on the degree of agreement among experts, more than half of the harmful factors and most occupations showed fair to good results. The highest risk value was 16 for awkward posture for most occupations other than safety officer.

CONCLUSIONS

The KoConJEM provides information on the probability, intensity, and prevalence of exposure to harmful factors, including most occupations employing construction workers; therefore, it may be useful in the conduct of epidemiological studies on assessment of health risk for construction workers.

A temporal evaluation of respirable crystalline silica exposure for construction tasks

Personal air monitoring using a TSI SidePak AM520 personal aerosol monitor was performed on a northern Colorado construction site during five tasks from the OSHA Table 1: Specified Exposure Control Methods When Working With Materials Containing Crystalline Silica to estimate silica dust concentrations in real time. Photometric measurements were modified using a gravimetric correction factor and a % respirable crystalline silica adjustment. Each task was sampled once; sample time ranged from 14 min to 40 min, with a mean sample time of 27 min. The mean silica dust concentration estimates (μg/m3) (standard deviation [SD]) for the five tasks computed from the TSI SidePak AM520 respirable dust measurements were core drilling 12 μg/m3 [2.46], grinding 918 μg/m3 [1134.08], cutting with a walk-behind saw 36 μg/m3 [79.67], jackhammering 27 μg/m3 [23.24], and dowel drilling 66 μg/m3 [77.65]. Silica exposure estimates from real-time monitoring can be used to identify exposures that may be related to inadequate controls or worker behaviors that contribute to peak exposures. Respirable crystalline silica exposure estimates presented here are likely not generalizable to other construction sites or tasks.

CODD: A benchmark dataset for the automated sorting of construction and demolition waste

This study presents the Construction and Demolition Waste Object Detection Dataset (CODD), a benchmark dataset specifically curated for the training of object detection models and the full-scale implementation of automated sorting of Construction and Demolition Waste (CDW). The CODD encompasses a comprehensive range of CDW scenarios, capturing a diverse array of debris and waste materials frequently encountered in real-world construction and demolition sites. A noteworthy feature of the presented study is the ongoing collaborative nature of the dataset, which invites contributions from the scientific community, ensuring its perpetual improvement and adaptability to emerging research and practical requirements. Building upon the benchmark dataset, an advanced object detection model based on the latest bounding box and instance segmentation YOLOV8 architecture is developed to establish a baseline performance for future comparisons. The CODD benchmark dataset, along with the baseline model, provides a reliable reference for comprehensive comparisons and objective assessments of future models, contributing to progressive advancements and collaborative research in the field.

Help-seeking intentions of UK construction workers: a cross-sectional study

BACKGROUND

In response to the high rates of poor mental health in the construction industry, numerous workplace interventions have been designed to address the known and suspected risk factors to employee mental health and well-being. A key challenge of these strategies is low engagement in support services.

AIMS

The goals of this research were to investigate the help-seeking intentions of employees in the construction industry, explore levels of mental well-being in this population and provide insight into employee engagement with mental health support strategies.

METHODS

Employees from two UK construction companies completed an online cross-sectional questionnaire (n = 119), designed to measure help-seeking intentions, levels of mental well-being and worker attitudes towards workplace mental health support strategies.

RESULTS

One-third of the sample reported experiencing an episode of mental health difficulties in the past 6 months. Employees reported a greater preference for seeking support from informal versus formal help sources. Participants were most likely to seek help from a partner and least likely to seek help from a Mental Health First Aider/ Champion. The study also showed some association between help-seeking intention and age of employees.

CONCLUSIONS

Given the poor levels of mental well-being in this population, it is essential that adequate workplace support is provided. Whilst formal help sources are important for this population, our study highlights the potential benefits of informal help sources to support employees. Future interventions may therefore wish to consider developing tailored, informal workplace support networks and programmes.

Carbon emission prediction of construction industry in Sichuan Province based on the GA-BP model

The reduction of the carbon emissions of construction industry is urgent. Therefore, it is essential to accurately predict the carbon emissions of the provincial construction industry, which can support differentiation emission reduction policies in China. This paper proposes a carbon emission prediction model that optimizes the backpropagation (BP) neural network by genetic algorithm (GA) to predict carbon emission of construction industry, or "GA-BP". To begin with, the carbon emissions of construction industry in Sichuan Province from 2000 to 2020 are calculated by the emission factor method. Further, the electricity correction factor is introduced to eliminate the regional difference in electricity carbon emission coefficient. Finally, four factors are selected by the grey correlation analysis method to predict the carbon emission of construction industry in Sichuan Province from 2021 to 2025. The results show that the carbon emissions of construction industry in Sichuan Province have been trending up in the past two decades, with an average increase rate of 10.51%. The GA-BP model is a high-precision prediction model to predict carbon emissions of construction industry. The mean absolute percentage error (MAPE) of the model is only 6.303%, and its coefficient of determination is 0.853. Moreover, the carbon emissions of construction industry in Sichuan Province will reach 8891.97 million tons of CO2 in 2025. The GA-BP model can effectively predict the future carbon emissions of construction industry in Sichuan Province, which provides a new idea for the green and sustainable development of construction industry in Sichuan Province.

Perceived benefits, barriers, perceptions, and readiness to use exoskeletons in the construction industry: Differences by demographic characteristics

Exoskeletons (EXOs) are a promising wearable intervention to reduce work-related musculoskeletal disorder risks among construction workers. However, the adoption of EXOs may differ with demographic characteristics. Survey data (n = 361) were collected from construction industry stakeholders and a summation score method was used to summarize respondent's benefits and barriers to EXO use, along with perceptions and readiness to use. Responses were stratified by race (White vs. non-White), sex (male vs. female), and age (<47 years vs. ≥47 years). Both a higher Benefits score and a higher Perceptions score were significantly and positively associated with a higher Readiness to Use score. There were also significant differences in perceived barriers to EXO use by race and sex. These results demonstrate substantial interest in EXO use but also emphasize the need to ensure proportionate access to the potential benefits of EXO technology.

Eco-friendly flame-retardant bamboo fiber/polypropylene composite based on the immobilization of halloysite nanotubes by tannic acid-Fe3+ complex

Bamboo fibers (BF), as an important sustainable natural material, are becoming a hot alternative to synthetic fibers for the reinforcement of polypropylene (PP)-based composites. However, the weak interfacial compatibility between BF and PP as matrix and their inherent flammability limit the practical application of BF/PP composites (BPC). Here, a fire-safe BPC was fabricated by constructing flame-retardant interfacial layers containing tannic acid (TA)-Fe3+ complex and halloysite nanotubes (HNTs) on the fiber matrix followed by a hot-pressing process. The results showed that the interfacial chelating of TA with Fe3+ improved the dispersion of HNTs on the fibers and the interfacial interactions within the fiber matrix, resulting in the as-fabricated composite with significantly improved mechanical properties and water resistance. In addition, the flame-retardant composite exhibited higher thermal stability and enhanced residual char content. Moreover, the composite possessed significant flame-retardant performances with a reduction of 23.75 % in the total heat release and 32.44 % in the total smoke production, respectively, owing to the flame retarding in gaseous phase and condensed phase of TA-Fe3+@HNTs layers. This work offers a green and eco-friendly strategy to address the inherent problems of BPC material in terms of fire safety and interfacial compatibility, thus broadening their applications in the automotive interior and construction industries.

Assessment of the properties of concrete containing artificial green geopolymer aggregates by cold bonding pelletization process

Recently, the usage of a cold-bonded method in the production of artificial green geopolymer coarse aggregates (GCA) has been crucial from an economic and environmental perspective because the sintering method consumes an enormous quantity of energy and generates a significant quantity of pollutants. This research investigated the manufacture of GCA via cold-bonded pelletization using two distinct industrial byproducts (GGBFS and FA) via a new and simpler pelletization technology. Three different binders were used to produce three distinct types of GCAs as partial replacements for natural coarse aggregate (NCA) at varying replacement rates (0%, 25%, 50%, and 75%). The first group used ground-granulated blast furnace slag, while the second used GGBFS with perlite, and the third used FA with perlite. An alkaline activator was commonly used with all three groups. The physical and mechanical properties of three distinct varieties of GCA were recorded. The results indicated that the mechanical and chemical properties of three different types of GCAs were nearly identical to those of natural aggregate, with the exception of their increased water absorption. According to the findings, the recommended mixtures were suitable for usage in the construction industry. The results indicated that the ratio of all investigated attributes declined as the number of GCAs increased. In contrast, lightweight concrete can be obtained at a ratio of GCA (FA with perlite) equal to 75%, where unit weight, compressive, splitting tensile, flexural, and water absorption strengths were 1.87 gm/cm3, 20.2 MPa, 1.8 MPa, 8 MPa, and 6.0%, respectively (FA with perlite).

Utilization of sexual and reproductive health services among construction worker women in southern Ethiopia

BACKGROUND

In Ethiopia, the utilization of sexual and reproductive health services (SRH) is alarmingly inadequate, leading to higher rates of maternal and newborn mortality. Disparities in accessing sexual and reproductive health (SRH) services exist among different population groups, with construction worker women at a higher risk of experiencing such issues. We investigated the utilization of sexual and reproductive health services and associated factors among construction worker women in Southern Ethiopia.

METHOD

We conducted a cross-sectional study among construction worker women (15-49) in Southern Ethiopia from July 1st to July 30th, 2021. The participants were selected randomly using venue-day-time sampling (VDTS). The data were collected by a pretested structured questionnaire using an open data kit (ODK) and exported to Statistical Package for Social Sciences (SPSS) version 25 for analysis. Binary logistic regression analysis was conducted to identify factors associated with sexual and reproductive health service utilization. An adjusted odds ratio with 95% CI was used and statistical significance was declared at p-value < 0.05.

RESULTS

The study revealed that 54.4% of women of reproductive age had used at least one sexual and reproductive health service in the past year. About 66.7% of women experienced sexual harassment at work, with sex discrimination (86.9%) and sexist hostility (57.9%) being the most common. Aged over 20 years, married women, living with husbands, friends, and boyfriends, within 30 min of health facilities, and having a favorable attitude were significantly associated with SRH service utilization.

CONCLUSION

Nearly half of construction workers in southern Ethiopia are not using sexual and reproductive health services, indicating a concerning lack of access to such services. Over two-thirds of women experience sexual harassment in construction site. Therefore, to ensure universal access to SRH services, it is essential to design a new approach including outreach programs specifically tailored to reach such vulnerable groups.

Research on helmet wearing detection method based on deep learning

The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties. As a result, this paper suggests employing a deep learning-based approach for the real-time detection of safety helmet usage among construction workers. Based on the selected YOLOv5s network through experiments, this paper analyzes its training results. Considering its poor detection effect on small objects and occluded objects. Therefore, multiple attention mechanisms are used to improve the YOLOv5s network, the feature pyramid network is improved into a BiFPN bidirectional feature pyramid network, and the post-processing method NMS is improved into Soft-NMS. Based on the above-improved method, the loss function is improved to enhance the convergence speed of the model and improve the detection speed. We propose a network model called BiFEL-YOLOv5s, which combines the BiFPN network and Focal-EIoU Loss to improve YOLOv5s. The average precision of the model is increased by 0.9% the recall rate is increased by 2.8%, and the detection speed of the model does not decrease too much. It is better suited for real-time safety helmet object detection, addressing the requirements of helmet detection across various work scenarios.

Occupation-specific risk estimates for suicide and non-fatal self-harm from a Swedish cohort of male construction workers followed 1987-2018

OBJECTIVES

While suicidal behaviour has become less prevalent in non-manual workers in recent decades, rates have increased in manual workers. We aimed to identify occupations within the construction industry with excess risk of suicide and non-fatal self-harm.

METHODS

This cohort of Swedish construction workers comprises 389 132 individuals examined 1971-1993 and followed 1987-2018 using national hospital and cause of death registers. More than 200 job titles were merged into 22 occupational groups. For 296 891 men alive in 1987 and active in the construction sector, survival was calculated from baseline to first event of non-fatal self-harm or suicide and censored for emigration, long-term unemployment, disability pension, retirement, death from other causes or end of follow-up. HRs with 95% CIs were obtained from multiple Cox proportional hazard regression.

RESULTS

Overall, 1618 cases of suicide and 4774 events of non-fatal self-harm were registered. Self-harm before baseline was the single largest risk factor for suicide, HR 9.3 (95% CI 7.5 to 11.6). Compared with the overall mean, labourers and rock workers had excess risk for suicide, HR 1.4 (95% CI 1.1 to 1.7) and 1.5 (95% CI 1.0 to 2.3), respectively, while electricians, clerks and foremen had reduced risk. Labourers, concrete workers, sheet metal workers, painters, glaziers and the group 'other construction workers' were at increased risk for non-fatal self-harm. Almost all categories of manual workers were at increased risk for suicidal behaviour relative to clerks and foremen.

CONCLUSIONS

Specific occupations within the construction sector were associated with excess risk for suicidal behaviour. Future studies should identify underlying risk factors to inform tailored interventions.

Assessing the Physical and Psychological Well-being of Construction Workers During the COVID-19 Pandemic: A Prospective Study in Italy

OBJECTIVE

This prospective study aimed to assess the physical and psychological health of construction workers and examine the relationship between their well-being and the preventive measures implemented against SARS-CoV-2.

METHODS

During occupational visit, the workers were invited to participate the survey. Two measurements were made and compared: after the Italian lockdown and on the second wave of COVID-19 pandemic.

RESULTS

Fifty-three workers participated in the study. The percentage of workers who considered themselves in good health increased from 66.0% to 81.1%, and there was a significant decrease in the 12-item General Health Questionnaire score (16.8 vs 14.0, P = 0.0003). This reduction was associated with a higher perception of security by preventive measures.

CONCLUSIONS

The study highlights the importance of addressing the health and safety concerns of construction workers during the pandemic, and the positive impact of effective preventive measures.

A life cycle assessment of cardboard waste in low stress grade concrete applications

Utilising cardboard waste for the partial substitution of cement within concrete has the potential to yield significant sustainability benefits. Cardboard waste is abundantly available, and a significant proportion of this material is disposed of in landfill. However, conversion of waste cardboard into kraft fibres (KFs) for concrete implementation can be utilised in the building and construction industry. Therefore, identification of sustainability variables associated with cardboard waste in concrete is vital. In this study, two KF composites satisfied the criteria for low stress grade concrete and were subsequently evaluated. SFKF5 mix design contained 5% KFs and SFKF105 contained 10% KFs with 5% metakaolin (MK). Both composites had silica fume (SF) as a fibre modification technique for durability purposes. A life cycle assessment (LCA) determined the environmental effect of waste cardboard integration. A Monte-Carlo simulation was utilised as the sensitivity analysis to investigate transportation and energy manufacturing greenhouse gas (GHG) emission variables. LCA results of SFKF105 had a savings of 11%, 8%, 4% and 1% for terrestrial acidification potential, global warming potential (GWP), terrestrial ecotoxicity potential (TEP) and human toxicity potential, respectively. SFKF5 revealed savings of 3%, 2% and 4% for GWP, TEP and marine eutrophication potential, respectively. The additional travel requirements of KFs and MK to the cement batching plant for composite production did not surpass the embodied energy and travel emissions of the control. However, this was negated due to the additional energy requirements to manufacture KFs. The control, SFKF5, and SFKF105 had an average total of 572, 1023 and 997 kgCO2-eq/m3, respectively.

Mortality of older construction and craft workers employed at Department of Energy (DOE) nuclear sites: Follow-up through 2021

BACKGROUND

To determine if construction and trades workers formerly employed at US Department of Energy (DOE) nuclear weapons sites are at significant risk for occupational diseases, we studied the mortality experience of participants in the Building Trades National Medical Screening Program (BTMed).

METHODS

The cohort included 26,922 participants enrolled between 1998 and 2021 and 8367 deaths. Standardized mortality ratios were calculated based on US death rates. Cox models compared construction workers (n = 22,747; 7487 deaths) to two nonconstruction subpopulations: administrative, scientific and security workers (n = 1894; 330 deaths), and all other nonconstruction workers (n = 2218; 550 deaths).

RESULTS

Mortality was elevated for all causes, all cancers, cancers of the trachea, bronchus, lung, kidneys, and lymphatic and hematopoietic system, mesothelioma, chronic obstructive pulmonary disease (COPD), asbestosis, transportation injuries, and other injuries, particularly accidental poisonings. There were 167 deaths from coronavirus disease 2019 (COVID-19), which was lower than expected using US death rates. Overall cause-specific mortality was significantly higher among construction workers than for internal comparison groups.

CONCLUSIONS

Construction workers employed at DOE sites have a significantly increased risk for occupational illnesses. Apart from COVID-19 deaths, this update: (1) found that mortality among construction workers is significantly elevated compared to the US population and significantly higher than in the internal comparison populations, and (2) confirmed excess risk for these workers for first employment after 1990. Cancer mortality risks are similar to the cancers identified for DOE compensation from radiation exposures. The high lung cancer risk supports the value of early lung cancer detection. Continued medical surveillance is important.

Research on the path of building carbon peak in China based on LMDI decomposition and GA-BP model

The building sector contributes significantly to carbon emissions, impeding China's progress toward its 2030 carbon emissions peak target due to the limited utilization of renewable energy sources. This study aims to forecast the peak and timing of carbon emissions in China's construction industry to chart a low-carbon roadmap for the sector's future. Initially, an extended logarithmic mean divisia index (LMDI) decomposition model, based on the Kaya identity, is proposed to gauge the contribution levels of driving factors affecting building carbon intensity. Subsequently, a hybrid prediction model (IGA-BP) is constructed, employing an optimized two-hidden-layer neural network via a genetic algorithm, to forecast building carbon emissions and intensity. Additionally, four scenarios are outlined, each defining pathways to simulate emissions peak, carbon peak timing, and intensity within the Chinese building sector from 2020 to 2050. The research findings reveal: (1) The final emission factor of buildings primarily drives the surge in building carbon intensity, while the industrial structure stands as the most significant limiting factor. (2) Compared to alternative models, the proposed hybrid prediction model more effectively captures the evolution pattern of carbon emissions. (3) The prediction results indicate that China's building carbon intensity has reached its peak. Pathway 12 closely aligns with the sector's carbon emissions peak, projecting a peak value of 5.609 billion tons in 2029. To attain this pathway, China needs to develop more precise and feasible emission reduction strategies for its buildings. Overall, the research outcomes furnish robust references for decision-making in future efforts aimed at reducing building emissions.

Feasibility analysis of the market-oriented construction management model of drainage project based on evolutionary game

The construction and operational costs of drainage projects are high. Traditional construction management models impose significant financial pressure on the government and reduce stakeholder motivation. Within the market-oriented development context, reforming the construction management model is crucial for breaking the current predicament. This research establishes a framework for the market-oriented construction management model for drainage projects and constructs a behavioral strategy evolutionary game model involving government, drainage management companies, and pollution discharge subjects. Through theoretical analyses and simulations, this research presents recommendations for the implementation of the market-oriented model. The research findings indicate that: (1) the market-oriented model is feasible both theoretically and practically. Pollution rights trading aids pollution discharge subjects in adapting to the market-oriented model. (2) Ensuring sewage charges remain within the interval [P1, P1 + L2 - L1] is crucial for trilateral cooperation. (3) Simulation analysis shows that intensifying policy support, reducing the cost of technological equipment upgrades, enhancing comprehensive income, lowering the pricing of sewage charges, and raising initial selection probability all promote a tendency towards ESS.

The moderating effect of work-related musculoskeletal disorders in relation to occupational stress and health-related quality of life of construction workers: a cross-sectional research

BACKGROUND

This study aimed to investigate work-related musculoskeletal disorders (WMSDs), occupational stress, and health-related quality of life (HRQoL); identify the factors that affect HRQoL; and investigate the moderating effects of WMSDs on occupational stress and HRQoL.

METHODS

The participants were construction workers who had worked in the construction industry for over three months. A total of 178 construction workers voluntarily participated and anonymously completed the musculoskeletal symptoms questionnaire, the Korean Occupational Stress Scale, short-form 36. The moderation effect of WMSDs on occupational stress and HRQoL were analyzed by Haye's Process Macro Model.

RESULTS

The results of the study showed that 96 subjects (53.9%) had WMSDs, and the most common pain site was the lower back (33.3%). The group with WMSDs had higher occupational stress than did the group without WMSDs (p < 0.01). Compared with the group without WMSDs, the group with WMSDs displayed significant differences in HRQoL (p < 0.001). Furthermore, the factor affecting HRQoL was WMSDs (p < 0.001). In the impact of occupational stress on HRQoL, WMSDs had a significant moderating effect (p < 0.001).

CONCLUSION

The results of this study indicate that construction workers' WMSDs significantly impact occupational stress and HRQoL, and WMSDs have a significant moderating effect on the relationship between occupational stress and HRQoL. Therefore, to improve the HRQoL of workers in the construction industry, it is necessary to develop methods to reduce occupational stress and prevent and treat WMSDs.

Sustainability assessment methods for circular bio-based building materials: A literature review

Using circular bio-based building materials is considered a promising solution to reduce the environmental impacts of the construction industry. To identify the pros and cons of these materials, it is essential to investigate their sustainability performance. However, the previous sustainability assessment studies are heterogeneous regarding the assessment methods and objectives, highlighting the need for a review to identify and analyse these aspects. Moreover, there is still a lack of studies reviewing the methodological issues and implications of the assessment methods, as well as the current end-of-life scenarios and circularity options for these materials. To address these gaps, this study conducts a systematic and critical review of a sample of 97 articles. The results indicate that Life Cycle Assessment (LCA) is the most frequently applied method, yet most studies are cradle-to-gate analyses of materials. Otherwise, very few studies consider the end-of-life phase, and most of the end-of-life scenarios analysed are unsustainable and have low circularity levels. The analysis also highlights the methodological issues of the assessment methods used, with a particular focus on LCA, such as a lack of consensus on system boundaries, functional units, and databases for facilitating sustainability assessments associated with the use of circular bio-based building materials. Two primary recommendations emerge from the analysis. Firstly, for LCA studies, it is recommended to increase transparency and harmonisation in assessments to improve the comparability of results. Besides, to overcome data availability issues, it is recommended to use data from multiple sources and conduct sensitivity and uncertainty analyses. Secondly, more sustainability assessments (including the three pillars) considering the whole life cycle with more sustainable end-of-life scenarios and circularity options for these materials should be conducted.

Individual evaluation of fatigue at work to enhance the safety performance in the construction industry: A systematic review

The construction industry is recognized as one of the most hazardous industries globally due to the dynamic on site activities and labour-intensive characteristics. The construction tasks are physically and cognitively demanding therefore the construction workers are prone to work fatigue which compromises safety performance. The evaluation of fit for duty, or fitness for work (FFW) aims to determine if workers are at risk of adverse impacts of ill-health, injury or accidents. This systematic review aimed to critically summarize up-to-date measures and evaluation tools that were employed to monitor work fitness or fatigue specifically among construction workers. Adhering with the PRISMA protocol, three databases were searched from the inception to 2022, with a total combination of 37 keywords, concluding to the selection of 20 relevant articles. The Mixed Method Appraisal Tool (MMAT) was used as the guide for the study appraisal. A total of 20 articles were reviewed, published from 2008-2022. Majority of the studies employed experimental design. The review identified the subjective evaluation scales and objective measurement tool. The subjective self-response questionnaires can be categorized into single dimension or multidimension covering both physical and mental fitness; whereas the objective measurement tool can be categorized into physiological metrics, physical and cognitive performance measure. The available scientific evidence has raised the relevant issues for on-site practicality and potentially guide the formulation of evidence-based guidelines for the FFW assessment in the construction industry.

Group technology empowering optimization of mixed-flow precast production in off-site construction

Faced with immense pressure to reduce environmental impact, off-site construction (OSC) is considered a sustainable alternative to conventional practices. However, challenged by component diversity and a significant surge in demand, deficient or empirical-based scheduling management struggles to effectively harness the potential of mixed-flow precast production to improve efficiency, instead resulting in environmental impacts, and falling short of expected benefits in OSC projects. Therefore, this study addresses the conflict between efficiency and environmental impact arising from the application of mixed-flow precast production by integrating multi-objective optimization and group technology. A multi-objective optimization framework is proposed, incorporating grouping technology for mixed-flow precast production scheduling and aiming to minimize carbon emissions and reduce tardiness/earliness penalty. The non-dominated sorting genetic algorithm II (NSGA-II), adjusted by adaptive population initialization strategy and group technology, is introduced to solve this problem, striking a balance between sustainability and penalty costs. Through a real-case analysis, the proposed approach demonstrates an average reduction of 37.5% in carbon emissions compared to rule-based scheduling methods, a 30.1% reduction compared to previous research methods, along with over 10% reduction in tardiness/earliness penalty. This study enhances environmental benefits and efficiency from a production scheduling perspective and establishes an automated, practical method, fostering low-cost, high-efficiency green production for construction component enterprises, particularly for small and medium-sized enterprises, thereby promoting sustainable development in the construction industry.

Consideration of hotspots in the selection of supervision schemes to reduce illegal dumping of construction and demolition waste

Illegal dumping of construction and demolition waste continues to be a problem hindering circular economy efforts. Controlling illegal dumping necessitates establishing an effective surveillance scheme and investigating the proper penalty value. This problem has previously been described as a game theory problem, with the government and construction contractors as the players. Taking into account illegal dumping hotspots, which can often be identified through topographical and geographical characteristics, is also important when establishing supervision strategies. This study develops an evolutionary game-theoretic model that can assist in devising effective supervision strategies to control the spread of illegal dumping, while taking into consideration hotspots. In specific, this study investigates the suitability of two alternative strategies: police patrols and hybrid monitoring through both patrols and the installation of closed-circuit television cameras in hotspots. The model was applied to two case studies, using parameters informed by real-world contexts, to demonstrate its potential for selecting suitable strategies according to local situations. The results suggest that nine possible scenarios govern the stable evolutionary strategies of game players, with five scenarios in which contractors converge to adopt legal dumping. Accordingly, based on the parameters of the region (hotspot areas, cost of supervision, efficiency of patrols, penalties, etc.), governments would be able to assess which of the strategies would lead to long-term compliance of contractors while also increasing their payoffs. Further analysis allowed to determine the minimum efficiency required, and simulations were performed to demonstrate the influence of different supervision efficiencies and penalties on the evolutionary strategies.

Crisis communication in construction: Organizational strategies for worksite fatalities

INTRODUCTION

The construction industry is high risk and unpredictable, requiring extensive safety preparation, practices, and effectiveness on worksites. While preventative measures are important and well documented, the industry, in general, lacks effective crisis management strategies when safety measures fail. The focus of this study was to evaluate dominant crisis communication and management best practices and adopt those methods into models that could be used following a construction worksite fatality.

METHODS

Through literature review, this study acknowledged barriers to crisis management implementation within the construction industry, defined worksite fatalities as a preventable crisis type, identified major organizational implications of a crisis event, determined applicable response strategies following a worksite fatality, and identified major stakeholder groups impacted by fatality events. Prominent communication theories and models that have been used in multiple industries were identified and researched for this study. The literature review revealed general crisis communication theories and models that could be adapted specifically to the construction industry.

RESULTS

Two proactive communication models were created from the collected research. These models were designed to be adapted and utilized by construction organizations as a fundamental crisis communication tool and as a basis for individualized crisis management strategies following emergency events.

CONCLUSIONS

This study concludes that worksite fatalities are considered a preventable crisis type, with the risk of legal, financial, and reputational damage to an organization. Appropriate response methods include ingratiation, mortification or corrective action strategies which are dependent on an organization's stakeholders, perceived responsibility, reputation, and crisis history.

PRACTICAL APPLICATIONS

Construction organizations could apply the models proposed in this study as foundational building blocks in alignment with strategic crisis management planning and safety failure preparation.

Applying implementation science to evaluate participatory ergonomics program for continuous improvement: A case study in the construction industry

While participatory ergonomics (PE) presents numerous benefits, its empirical effectiveness remains elusive due to the lack of transparency in implementation contexts and processes. This hinders our ability to discern the reasons behind a program's success or failure and to determine optimization and adaptation strategies. To unravel this "black box," we present a case study using implementation science to evaluate a PE program and illuminate the mechanisms linking process to outcome. The study examines a 4.5-year PE program at a construction company, targeting musculoskeletal disorders (MSDs) from material-cart handling. Using the RE-AIM framework and Implementation Causal Pathway Model, we evaluated implementation process and catalogued contextual factors through worker surveys (n = 106), safety document review (27 training sessions and 7 construction projects), and key informant observations. We assessed the program's impact using a 42-worker survey and an analysis of 8-year injury data, and determined the return-on-investment (ROI) by monetizing the collected data. The program achieved significant impact: Workers' ergonomic knowledge improved from 73% in baseline to 86% in follow-up; 97% of workers reported at least one positive change in their crews; and no cart handling injuries occurred after the first program change, resulting in a ROI rate of 1.99. Implementation process evaluation revealed that seamless integration, tailored intervention, and ongoing adjustments contributed to the success. Five organizational factors necessary for the effective functioning of these three strategies were identified, along with three moderators that amplified their influence. Finally, this case study demonstrates that implementation science offers a coherent structure for evaluating PE programs, uncovering mechanisms of change, and informing future improvements and adaptations. Our research facilitates knowledge transfer from implementation science to ergonomics, eventually leading to more cost-effective PE programs that are faithfully implemented across various industrial settings to prevent MSDs.

A multi-stakeholder digital platform for regional construction and demolition waste management

Little attention has been paid to the interaction or synergy among construction and demolition (C&D) waste management stakeholders. A framework allowing for interaction among the various C&D waste players is especially important in regions with mature C&D waste infrastructure, where various recycling, reuse and disposal facilities are present. In such an expanded infrastructure, these facilities differ in terms of the C&D waste materials they accept, the nature of the waste accepted (sorted/unsorted), as well as the services they provide. This makes developing the optimal C&D waste management plan (WMP) more cumbersome for contractors. To address the challenges arising from the poor dynamics associated with the overarching waste management infrastructure, this paper proposes a novel digital platform, namely the 'Construction and Demolition Waste Management Kernel' (C&D WMK). The C&D WMK has three main objectives: it allows for data exchange between the different stakeholders, provides guidance to contractors when developing C&D WMPs and allows for governmental supervision and regulation. This paper introduces the concept behind the C&D WMK, presents the optimization model embedded in the system, and demonstrates its application in a case study leveraging real-world data. Finally, a scenario analysis is conducted to show how the C&D WMK can be used by governments to identify pitfalls in the state of practice at the regional scale, and to determine effective solutions to enhance the C&D waste management performance.

The development of an integrated BIM-based visual demolition waste management planning system for sustainability-oriented decision-making

In light of the suboptimal resource efficiency persisting in current demolition waste management (DWM) practices caused by inattentive and profit-driven decision-making due to the lack of tailored stringent legislation, monetary incentives, and benchmarking frameworks, this study aims to facilitate sustainability-oriented decision-making at the demolition planning stage. A practical Building Information Modelling (BIM)-based visual DWM planning system is designed, wherein the system seamlessly accommodates inventory analysis and Multi-Criteria Decision-Aiding (MCDA) algorithms into various interconnected modules. Moreover, this research proposes bespoke algorithms and colour coding schemes to quantify and visualise the recycling value of building components for augmenting the visual guidance of sustainable building design and selective demolition planning. Furthermore, a pilot case study demonstrates the system's applicability in a real-world demolition project. The findings unveil that improving the recycling rate substantially offsets carbon emissions and demolition waste disposal expenditures. The increment in beneficial impacts outweighs the additional energy consumption and costs for implementing sustainable DWM strategies based on the predefined geographical settings. This BIM-based system reforms the conventional demolition planning and DWM decision-making workflow by tackling technical barriers concerning data richness, interoperability, and result interpretation. It equips the users with intuitive visual design guidance and parallel scenario analysis when crafting sustainability-oriented DWM schemes. In summary, this research contributes to familiarising industry practitioners with sustainable DWM schematic design and circular economy principles. Moreover, it prompts the development of customised BIM libraries as repositories for updating and capitalising on DWM-related information that can be adapted to different regional contexts.

Measurement and removal of asbestos in residential dwellings to be demolished-urban transformation experience in Izmir, Turkey

Asbestos has been used extensively in the construction industry for its superior insulation properties before its health hazards were discovered and its use eventually banned. It is likely that many residential buildings built before the 2000s in Turkey contain asbestos. Therefore, it is important to raise awareness of the potential danger of asbestos exposure during demolition work and to identify asbestos-containing materials and ensure their safe removal and disposal. This study is executed to determine the residential dwellings containing asbestos in Izmir, Turkey. The research included field studies to determine asbestos presence in the buildings that were damaged during the 2020 earthquake. Air measurements and bulk samples were taken from 50 buildings that would go through the demolition process. Eleven buildings were found to contain asbestos which corresponds to 22%. The detected asbestos type was 60% chrysotile (white asbestos). Results could be helpful for future demolition work, which are conducted in the same region that includes buildings with similar properties. Also, it is expected that the database created for this study could be useful in other studies in Turkey, where accurate statistical data related with asbestos measurements is essentially non-existent.

Measuring safety performance of construction employees using data envelopment analysis: A case in Australia

INTRODUCTION

Safety is one of the critical and persistent challenges in the construction industry. Measuring safety performance could allow decision-makers to check safety production processes and enhance the health and safety environment.

METHOD

This study developed a total-factor framework based on the global Data Envelopment Analysis (DEA) method to measure safety performance. The performance trend and influencing factors of pure technical efficiency and scale efficiency were separately investigated. The safety performance of construction employees in Australia was measured as a case study.

RESULTS

The results demonstrate that the safety performance in the Australian construction industry has been evidently enhanced, which is mainly promoted by the progress of pure technical elements. The scale factors did not play a positive and important role in driving the performance.

CONCLUSIONS

The increasing regional differences in safety performance could be reduced by learning the practices from the benchmark construction industry, such as a young worker program, small business safety program, workplace mental health program, and advanced construction technologies.

PRACTICAL APPLICATIONS

The method can be utilized to measure safety performance and investigate the pathways to enhance performance without influencing production inputs and outcomes. The model and experiences of how to promote safety performance on the policymakers and employers were recognized.

Insidious risks of wearable robots to worker safety and health: A scoping review

INTRODUCTION

The construction industry is tormented by a high rate of work-related musculoskeletal disorders (WMSDs) and flat or declining productivity rates. To improve construction workers' safety, health, and productivity, construction researchers and practitioners are investigating the safe implementation of exoskeletons. However, concern exists that these human-robot interactions (HRI) could amplify the effects of existing health and safety risks and lead to new health and safety risks. Only a few comprehensive studies have identified safety and health hazards inherent in using exoskeletons within construction trades and potential strategies for mitigating these threats. This study attempts to bridge this gap.

METHOD

A literature search was conducted using electronic databases. The authors relied on a 5-step scoping review process to examine academic publications, industry reports, and fact sheets to generate helpful information for this study.

RESULTS

The review revealed 36 health and safety hazards associated with using wearable robots in high-risk construction trades. Twenty-two organizational and field-facing strategies were introduced as potential controls to mitigate the identified hazards.

CONCLUSIONS

The study provided a knowledge-based foundation for HRI safety risk assessment and guidance to optimize pre-task planning. This foundation could lead to significant advances in construction trade safety and the successful execution of tasks by robotic technology.

PRACTICAL APPLICATIONS

Results from the present study can guide construction practitioners and safety professionals involved in technology integration and safety risk assessment on safe ways to implement wearable robots. Moreover, the present study provides critical insight that could inform the design and implementation of job hazard analysis and shape continuous education programs and safety training. This study prompts policymakers, standard developers, and exoskeleton manufacturers to work closely to ensure a safe future for exoskeletons in the construction industry.

The role of organizational factors in promoting workers' health in the construction sector: A comprehensive analysis

INTRODUCTION

The number of physical and mental problems caused by occupational accidents and diseases increases every year. To control them, the safety climate at work is a recognized critical factor. However, a widely applicable model to capture the safety climate for various industries and organizations is lacking.

METHOD

This study proposes a theoretical model to measure the direct and indirect effects of safety climate on workers' physical and mental health, mediated by job satisfaction, in the construction sector. We propose a multidimensional construct of safety climate, considering the most salient factors from the literature, and including psychological capital as a new factor. Using data from the last wave of the European Working Conditions Survey (2015) in Spain, the proposed model was validated using structural equation modeling.

RESULTS

Our findings suggest that to further improve the mental health of construction workers, work-life balance and job rewards and compensation must be prioritized along with safety climate. As for physical health, safety climate and work-life balance are crucial. Finally, we provide some recommendations for construction company managers based on a ranking of all the factors affecting the safety climate and the workers' health.

Energy retrofitting strategies for existing buildings in Malaysia: A systematic review and bibliometric analysis

This paper comprehensively examines passive and active energy retrofit strategies as a highly effective approach for reducing building energy consumption and mitigating CO2 emissions while enhancing comfort and sustainability. The paper further examines energy simulation software and assesses the integration of renewable energy systems in building to improve energy efficiency. The review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, ensuring a rigorous and comprehensive analysis. In addition, the study utilized bibliometric analysis with VOSviewer to provide valuable insights into the research trends and influential publications in building energy retrofits. Bibliometric analysis reveals strong collaboration among 17 authors, emphasizing their significant contributions. Keywords like energy retrofitting and efficiency are prominent, indicating their importance in academic literature. Findings show passive strategies are more effective in reducing energy consumption, though a combined approach with active strategies can yield optimal results. Retrofitting presents challenges, such as substantial initial costs and regulatory barriers. User acceptance is crucial, considering potential disruptions. The review highlights the importance of energy simulation software, with tools like EnergyPlus, eQUEST, and IES VE identified for evaluating and identifying cost-effective retrofit measures in building performance. By providing comprehensive insights into the various strategies and tools available for retrofitting buildings to achieve energy efficiency and sustainability goals, this review serves as an authoritative resource for building owners, managers, and professionals in the building industry. It offers invaluable guidance for informed decision-making and facilitates implementing effective, energy-efficient, and sustainable building retrofitting practices.

Occupational risk perception of construction workers: a cross sectional study

Introduction

Construction workers are often exposed to significant injury risk. The aim of our study is to assess their occupational hazards and injury risk perception.

Methods

We 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.

Results

Participants 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.

Conclusion

Workers' 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.

A GRU-Based Model for Detecting Common Accidents of Construction Workers

Fall accidents in the construction industry have been studied over several decades and identified as a common hazard and the leading cause of fatalities. Inertial sensors have recently been used to detect accidents of workers in construction sites, such as falls or trips. IMU-based systems for detecting fall-related accidents have been developed and have yielded satisfactory accuracy in laboratory settings. Nevertheless, the existing systems fail to uphold consistent accuracy and produce a significant number of false alarms when deployed in real-world settings, primarily due to the intricate nature of the working environments and the behaviors of the workers. In this research, the authors redesign the aforementioned laboratory experiment to target situations that are prone to false alarms based on the feedback obtained from workers in real construction sites. In addition, a new algorithm based on recurrent neural networks was developed to reduce the frequencies of various types of false alarms. The proposed model outperforms the existing benchmark model (i.e., hierarchical threshold model) with higher sensitivities and fewer false alarms in detecting stumble (100% sensitivity vs. 40%) and fall (95% sensitivity vs. 65%) events. However, the model did not outperform the hierarchical model in detecting coma events in terms of sensitivity (70% vs. 100%), but it did generate fewer false alarms (5 false alarms vs. 13).

Willingness to accept metaverse safety training for construction workers based on extended UTAUT

Safety training (ST) is essential in avoiding unsafe behavior of construction workers. With the rise of metaverse technology, metaverse safety training (MST) has gradually become a new model to guide construction workers in safety production. An in-depth study of construction workers' willingness to accept the metaverse safety training (WAMST) helps improve its effectiveness, but studies need to pay more attention to it. This study constructs a conceptual model of WAMST for construction workers, and the influencing factors of WAMST are explained based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT). It established a Structural equation modeling to verify the relationship between influencing factors. An example verifies the feasibility of the model. The results show that the framework significantly contributes to the willingness of construction workers to participate and improves safety awareness. Specifically, performance expectancy, effort expectancy, social influence, and convenient conditions significantly affect the construction workers' willingness to accept. Convenient conditions have a direct effect on actual behavior. Willingness to accept plays a mediating role between performance expectancy and actual behavior. Perceived trust moderates the effect between willingness to accept and actual behavior, and the force of positive interpretation increases proportionally. It confirms how to improve the safety capacity of construction workers and provides references for governments, enterprises, and projects to formulate ST strategies.

Gamification using technologies for occupational safety training in the civil construction sector

BACKGROUND

Although regulatory norms on work safety offer guidelines for organizing and preventing accidents, the construction site is an environment susceptible to deviations, sometimes due to the lack of effective training. To this end, technologies such as virtual reality become possibilities for innovations with great advantages, as they allow simulations, modeling, exploratory environments and games, which allow the user to create a greater connection and interest in the subject in question.

OBJECTIVE

This study aimed to present the technological advances applied in safety-oriented training in the construction industry worldwide, emphasizing serious games through a systematic review of the literature.

METHODS

The review was carried out using five scientific databases, with a research protocol to answer questions about the application of gamification to guarantee the safety of workers.

RESULTS

Fifteen articles were evaluated, with descriptive, observational research and case studies. It was found that the use of technologies in construction safety is not yet a common reality in the sector, as it presents challenges and limitations, such as gameplay and issues related to cost. However, they show great potential as a dynamic solution in the training of civil construction workers, effectively collaborating in accident prevention and work safety.

CONCLUSION

Several software programs and applications were found for creating three-dimensional scenes and for providing users with a customized experience according to the needs observed in the virtual interaction; building information modeling tools, which promote realistic project modeling; and equipment to visualize the scenes created. Furthermore, the possibility of combining traditional theoretical teaching with serious games was verified. However, gamification applicability is an alternative that still has limitations, in addition to the lack of flexibility in the rules imposed on the game, hampering users' authenticity in making decisions.

Disentangling Rates, Risk, and Drivers of Suicide in the Construction Industry

Background: Research suggests construction industry workers (CIWs) face increased suicide vulnerability. Aims: The current study synthesizes international evidence examining rates, risk, and drivers of CIW suicide. Method: Comprehensive searches of MEDLINE, PsycInfo, Embase, Emcare, Web of Science, Scopus, and gray literature were undertaken, identifying studies that discussed, theorized about, or demonstrated risks and/or rates and/or drivers of CIW suicide, without inclusion of other industries. Results: A number of included studies statistically analyzed suicide outcomes in a variety of CIW populations, with the majority reporting increased rate and/or risk, however significant heterogeneity limited comparisons. Twenty-five potential drivers were identified and classified as personal- or industry-related. Disentanglement highlighted the relevance of previously understood personal drivers, need for future focus on industry drivers, and potential interplay between drivers. Limitations: Exclusion of non-English articles as well as inability to extend analysis to fully understand rates and/or risk of CIW suicide and tenuous links between suggested drivers and suicide outcomes. Conclusion: Despite limitations, this paper aids understanding in relation to the suggestion that CIWs are at increased suicide vulnerability. Disentanglement of potential drivers demonstrates the importance of future research focused on industry drivers to assist in prevention strategies.

Role modeling of safety-leadership behaviors in the construction industry: A two-wave longitudinal study

BACKGROUND

The construction industry is heavily affected by occupational accidents, and it is important to investigate how leadership behaviors promoting safety on construction sites are fostered among construction-site managers.

OBJECTIVE

The overall aim of this study was to investigate how safety-leadership behaviors can be developed in the construction industry, specifically focusing on managerial role modeling.

METHODS

A two-wave longitudinal cohort study with approximately four months between measurement occasions was conducted among construction-site supervisors in Sweden (n = 51). Supervisors' ratings of their site managers' and their own generic and safety-specific contingent reward (CR) leadership behaviors were obtained by means of questionnaires. Cross-lagged panel models were tested within a path model framework to test the hypothesis that site managers' leadership behaviors prospectively influence supervisors' leadership behaviors.

RESULTS

Site managers' CR behaviors prospectively influenced supervisors' CR behaviors, both generic CR behaviors (β= 0.29, p = 0.01) and safety-specific CR behaviors (β= 0.22, p = 0.04). For safety-specific CR behaviors, a reversed effect (β= 0.26, p = 0.03) was also found, implying that supervisors' behaviors prospectively influenced site managers' behaviors.

CONCLUSION

Site managers act as role models for supervisors when it comes to developing safety-leadership behaviors on construction sites. The results also indicate that site managers are influenced by their subordinate supervisors' safety-leadership behaviors. Hence, there seems to be reciprocal interaction between site managers and supervisors in which they influence each other and together shape safety-leadership practices at their construction sites.

Reinvestigation of the Psychological Mechanisms of Construction Experience on Hazard Recognition Performance

OBJECTIVE

The study aimed to reinvestigate psychological mechanisms of the influence of construction workers' experience on hazard recognition performance, with signal detection theory (SDT) and electroencephalogram (EEG) readings.

BACKGROUND

Existing evidence regarding the effect of experience on hazard recognition performance in the construction industry remains inconsistent. Behavior-wise, identification of dominant hazard recognition factors (sensitivity or response bias, or both) would help determine appropriate training strategies to improve hazard recognition. In terms of neuro-responses, induced gamma-band activity was expected to reflect the cognitive functions mediating the psychological effects of experience.

METHOD

Seventy-seven construction workers participated in a predesigned hazard recognition task, in which participants judged whether a hazard was present from a series of construction scenario pictures. We computed and compared the sensitivity and response bias of SDT and time-frequency representations of recorded EEG signals of the two experience-level groups.

RESULTS

Novice workers had higher hazard recognition rates. Behavior-wise, novices were more sensitive than more experienced workers. Compared with experienced workers, novices showed stronger gamma-band difference power (hazardous minus safe) in the left frontal and right posterior parietal areas during the hazard recognition process.

CONCLUSION

Novices performed better at hazard recognition, indicating their sensitivity to the hazards without a clear difference in response bias. Based on the EEG data, novices' sensitivity may be attributed to more efficient working memory and attentional control.

APPLICATION

There is a need for continuous refreshment of hazard recognition skills for experienced workers for safety interventions.

Exploring the intentional unsafe behavior of workers in prefabricated construction based on structural equation modeling

Compared with traditional onsite construction, prefabricated construction has a more complex working environment, resulting in more safety risks. While cognitive failure has been identified as a primary cause of intentional unsafe behaviors, there remains a lack of knowledge on the formation mechanism underlying intentional unsafe behaviors among workers in precast construction. Using the Theory of Planned Behavior and the risk preference variable, this study constructs a theoretical model for intentional unsafe behaviors of precast construction workers. Data related to precast construction and safety management activities is collected from 208 frontline workers. Structural Equation Modeling is used to test and modify the theoretical model in order to identify the formation mechanism and pathway underlying intentional unsafe behaviors. The findings show that: (1) workers' perceptual behavior control, behavior and attitude, risk preference, and subjective norms influence their intention to engage in unsafe behavior and subsequently lead to intentional unsafe behavior; (2) the effect of personal risk preference on intentional unsafe behaviors is significant, contributing 7.71% to overall intentional unsafe behavior; and (3) the effects of the observed variables are more evident than the initial theoretical model. The most prominent of these are the effects of task intensity (IBC1), safety equipment (IBC2), worker behavior (IOW1), historical behavior (IBC3), and behavioral belief (BAA3). Finally, comprehensive measures to control the intentional unsafe behaviors of precast construction workers are recommended. The results of this study are useful for reducing the occurrence of intentional unsafe behaviors by workers and reducing the incidence of accidents in a complex manufacturing-oriented construction environment.

Safety risk assessment of sustainable construction based on projection pursuit model optimized by multi-intelligent algorithm: a case study of new chemical projects

With the rapid development of urban and social economies, the safety accidents in the construction process of the new chemical plant have caused huge losses to the city. The purpose of this study is to evaluate the risks in the construction process of chemical projects and propose preventive measures. A novel risk assessment model based on multi-intelligence algorithm optimization projection pursuit was developed to assess the construction safety risk and determine the risk level. In this model, the best-worst method and the entropy weight method were used as subjective and objective evaluation methods, respectively. The theory based on the idea of the distance function was applied to the model to calculate the combined weight value. The results showed that the three evaluation objects with the highest risk value were the air compression station plant, regional control room, and hazardous and solid waste temporary repository. The risk values of these three buildings were 2.2557, 2.2160, and 2.1654, respectively, and the corresponding risk level was high. On-site safety managers should take immediate measures in these high-risk buildings to reduce the possibility of accidents. This study is a new attempt to consider the construction safety risk of the new chemical project.

Effects of a behavior-based safety observation program: Promoting safe behaviors and safety climate at work

BACKGROUND

Behavior-based safety (BBS) programs promote coworkers observing and correcting each other's at-risk behaviors on site; the idea behind BBS programs is to create a cultural shift in a company where it is acceptable for coworkers to stop anyone, at any time, from working in an unsafe manner.

OBJECTIVE

The main objective of this study is to examine the impacts of a BBS observation program in the construction industry.

METHODS

The subject, an electrical contracting company, implemented the BBS program in January 2019. This study utilized multiple data sources: the company's incident data, BBS program report data, and surveys, including the Safety Climate Assessment Tool for Small Contractors. A total of 3,891 at-risk behaviors from the BBS reports, including 600 comments, and 141 survey responses were analyzed.

RESULTS

The most frequently reported at-risk behavior was the line of fire, and the at-risk behaviors were often observed when workers conducted tasks, such as running or pulling wires, installing devices, and installing lights. The overall perception of safety climate was high, and the respondents reported that the safety climate had improved since the adoption of the BBS program. Overall, implementing the BBS program benefited in cultivating the company's collective safety climate.

CONCLUSION

As a result of the BBS program, the company implemented better communication strategies for their safety meetings on the most frequently reported at-risk behaviors, replacing safety gears with higher quality ones, and redesigning online safety training to better reflect the identified tasks that were associated with more at-risk behaviors.

Performance of bio-asphalts: state of the art review

The global population spike, rise in industrialization, and highway infrastructure development induce focus on sustainable development. The ever-increasing consumption of non-renewable crude oil and asphalt levies a heavy toll on economic welfare of future generations. This enormous demand of asphalt is due to its wide applicability in flexible pavements. Therefore, the construction industry is exploring the partial substitution of renewable materials in asphalt with a focus on economical, social, and environmental benefits. The current decade has seen a rampant rise of bio-asphalt as an alternative to asphalt. Hence, it is imperative to explore the performance of bio-asphalt for its sustainable applicability. This review comprehensively summarizes the performance of bio-asphalt obtained from various biomass sources. It deals with elemental composition of bio-oil, preparation procedure, rheological performance, mixture performance, and aging mechanism of bio-asphalt along with modification required to improve the performance. The environmental impacts and field application of the bio-asphalts are also discussed.

The impacts of driving variables on energy-related carbon emissions reduction in the building sector based on an extended LMDI model: a case study in China

As China's main contributor to energy-related carbon emissions, the building sector in Jiangsu Province generates around 13.58% of the national carbon emissions. However, the influential variables of the energy structure in Jiangsu Province have been little investigated during the past decade. With the increasing emphasis on China's investment in technological innovation and adjustment of its industrial structure, research and development (R&D) has become an inevitable area for carbon emissions reduction. Nevertheless, its role in carbon emissions has rarely been examined. In this research, based on the logarithmic mean Divisia index (LMDI) model, the variables affecting the fluctuation of carbon dioxide emissions in the building sector (CEBS) in Jiangsu Province during 2011-2019 were restructured by introducing technological factors related to the construction industry, including energy structure, energy intensity, R&D efficiency, R&D intensity, investment intensity, economic output, and population engaged in the construction industry. From the results, it can be inferred that (1) energy structure, energy intensity, R&D efficiency, and investment intensity operate as inhibitors in increasing CEBS, and investment intensity exerts a more prominent impact on suppressing the growth of CEBS; (2) R&D intensity, economic output, and population engaged have a promotional effect on the fluctuations of CEBS, among which the first factor most actively promoted the increase in carbon emissions, although its role was negligible for economic output and the population; and (3) R&D efficiency, R&D intensity, and investment intensity are the three most critical variables for influencing the CEBS, but they are volatile. The numerical fluctuation caused by the three factors might be correlated to national and local policy interventions. Finally, policy recommendations are put forward for strengthening the management and minimizing the CEBS in Jiangsu Province.

Spatial differentiation of carbon emissions reduction potential for construction and demolition waste recycling

Identifying the regional differences and drivers for carbon reduction of construction and demolition waste (C&DW) recycling is essential to combat climate change. This study aims to calculate the carbon reduction potential for C&DW recycling from 2006 to 2021 in China and investigates the spatial differences and driving factors of carbon reduction potential for C&DW waste by combining the Theil index, Gini coefficient, and geographic detector methods. The carbon reduction potential for C&DW recycling in China was "high in the east and low in the west" overall level, with an average annual growth rate of 6.27%. The overall differences in carbon reduction potential for C&DW recycling are decreasing, mainly due to intraregional differences and inter-provincial differences in Northeast China. The population size, urbanization rate, and technological effect are the key factors influencing carbon reduction potential for C&DW recycling. There are two types of interactions between influencing factor pairs: nonlinear enhancement and two-factor enhancement. This study's results can guide policymakers to devise relevant, regionally specific policies.

Material and monetary flows of construction and demolition waste and assessment on physical and environmental properties of illegally dumped construction and demolition waste in Hanoi

The main aim of this study is to investigate the material and monetary flows of CDW management and to characterize the distribution of illegally dumped CDW in Hanoi. Construction and demolition waste management has become a source of much concern to the urban authorities and citizens of big cities in Vietnam. It is estimated that 3000 t of CDW were generated per day from construction and demolition activities in Hanoi, but only 45% of the CDW was received at official landfills, while 55% of the CDW was disposed of elsewhere. The consequences of improper waste management are potentially alarming. The study conducted interviews to identify the material and cash flow associated with licensed and unlicensed contractors in CDW classification, transportation, treatment, and disposal, to characterize the distribution of illegally dumped CDW in two districts in Hanoi (urban and suburban districts), and to assess the composition of dumped CDW and environmental assessment of illegally dumped CDW by chemical analyses such as leaching and content tests. The study concluded that illegal dumping was performed mostly by unlicensed private companies. The illegally dumped CDW was mostly composed of mixed materials such as concrete, bricks, stones, and some hazardous materials such as asbestos and gypsum were found. The environmental concern of illegally dumped CDW was mostly dust, blockage of water ways, and inundation of increased suspended solids, whereas the heavy metal leaching concentration of all samples was below the environmental standards in Vietnam.

Real-time monitoring unsafe behaviors of portable multi-position ladder worker using deep learning based on vision data

INTRODUCTION

Fatal fall from height accidents, especially on construction sites, persist, underscoring the importance of monitoring and managing worker behaviors to enhance safety. Deep learning showed the possibility of substituting the manual work of safety managers. However, applying detection results to determine compliance with safety regulations has limitations.

METHOD

This study estimated the actual working height depending on the height of the object detection bounding box by specifying the consistent hinge part as a target marker based on ladder manufacturing regulations. Furthermore, an attempt was made to improve the separation between workers, coworkers, and persons unconnected to ladder activities by applying an optimized loss function alongside an attention mechanism.

RESULTS

The experimental results showed that an average precision increased from 87.60% to 90.44%. The performance of the monitoring unsafe behavior of ladder worker following the Korea Occupational Safety and Health Agency (KOSHA) guide was evaluated by 91.40 F1-Score, which accumulated sorted according to the working height.

CONCLUSIONS

Experimental results show the feasibility of the real-time automate safety monitoring in ladder work.

PRACTICAL APPLICATIONS

By linking the estimated working height and deep learning multi-detection results to established safety regulations, the proposed method shows the potential to automatically monitoring unsafe behaviors in construction site.

Fabrication, characterization, and application of light weight thermal insulation material from combined buffing dust and plaster of paris for construction industry

Buffing dust, generated from tannery industries, is a source of air pollution in Pakistan. Valorization of the waste into another useful material is important to deal with the environmental pollution, while reducing waste disposal costs in landfills. To demonstrate its technological strength, this work fabricates a thermal insulation material made of plaster of Paris and the buffing dust (from tanning waste) in the form of a composite with superior mechanical properties and low thermal conductivity. Buffing dust with concentrations ranging from 5 to 20% (w/w) were loaded in the composite. The samples synthesized were made slurry of plaster of Paris, buffing dust, and water at ambient temperature. The physico-mechanical properties of composite were analyzed. It was found that the composite had better thermal insulation properties than the panels of the plaster of Paris. Its thermal conductivity was reduced to 15% after adding buffing dust (20% w/w). All the materials had physico-chemical properties like tensile strength (0.02 MPa and 0.06 MPa), density (700-400 kg/m3), water absorption (5.2-8.6%) and thermal conductivity (0.17000-0.09218 W/m-K). Thermogravimetric analysis showed that the material was thermally stable at temperatures ranging from 145 to 177 °C, while FT-IR results revealed that the composite contained O-H, N-H, and CO functional groups. SEM analysis displayed that the composite's homogeneity was reduced with low voids due to buffing dust addition, while EDX analysis showed that the composite contained 23.62% of S, 26.76% of Ca, 49.2% of O and 0.42% of C. This implies that buffing dust could be recycled to manufacture heat insulation materials for construction sector to reduce air pollution, while minimizing energy consumption. By integrating the buffing dust from tanning waste and the plaster of Paris as a composite for construction sector, this work promotes the recycling of unused waste, while saving public funds. Instead of paying landfill fees and polluting soil, the waste may be recycled at lower cost, while reducing environmental damage.

Behavior-based safety program for process industries

Objectives. This article describes the reduction of unsafe behaviors observed at a fertilizer complex by implementation of a behavior-based safety (BBS) program via a behavior observation form developed by a multidisciplinary team. Methods. Six observation categories, i.e., position of people, reaction of people, personal protective equipment (PPE), tools used, operating procedures and housekeeping, are used to monitor safe and unsafe behaviors for a period of 18 months. Results. Safe behaviors increased from 57 to 70% and unsafe behaviors reduced from 40 to 26%. Behaviors of employees working in various sections of fertilizer complex such as ammonia, urea, utility, bagging/shipping and workshop were also observed. Non-compliance with PPE, housekeeping and standard operating procedures was also monitored in individual sections. Non-operational areas including the administration block, housing colony, maintenance workshop, warehouse, fire station and electrical substation were also observed. Among these, the maximum unsafe behaviors are for the housing colony and minimum for the electrical substation. Conclusion. It has been concluded that working on the housing colony, administration block and fire station areas will address 74% unsafe behaviors of non-operational areas. For practical applications, worldwide industries can implement this BBS program to enhance BBS, thus reducing unsafe behaviors and increasing employee morale.

Research on the influence of role stressors on unsafe behavior among construction workers in China

Individuals' unsafe behavior is identified as one of the important reasons leading to construction industry accidents. The purpose of the present study is to explore the mechanism of role stressors' impact on unsafe behavior, the mediating role of psychological strain and the moderating role of empowering leadership among construction workers. The sample used for the analyses in this study includes 600 employees from 10 different construction companies in China. Bootstrap analysis was performed to explore the mediating role of psychology strain, and hierarchical linear regression analysis was performed to explore the moderating role of empowering leadership. The results showed that role stressors were positively related to unsafe behavior; psychology strain mediates the relationship between role stressors and unsafe behavior; and empowering leadership moderates the relationship between psychological strain and unsafe behavior. The findings indicate that empowering leadership can decrease unsafe behavior.