Critical Factors That Impact Construction Workers’ Hazard Recognition Performance

Namian, Mostafa; Zuluaga, Carlos M.; Albert, Alex

doi:10.1061/9780784479827.275

Cited by 21 publications

(8 citation statements)

References 15 publications

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“…The identification of hazards through the risk management process, using tools such as Field Level Hazard Assessments, assumes that workers and managers have the skills and knowledge to effectively and accurately complete hazard identification to control hazards and begin work (Bahn 2013). However, multiple studies (Carter and Smith 2006;Ramsay et al 2006;Bahn 2013;Perlman et al 2014;Jeelani et al 2016) show that most workers and managers are not equipped to adequately identify hazards, especially unknown hazards, in dynamic, complex environments (Jeelani et al 2016;Namian et al 2016); novice workers are unable to recognize 53% of hazards in their work environments (Bahn 2013). Our analysis of four datasets-interviews with frontline workers, leadership and regional contractors; a tailings safety expert hazard inventory; incident databases; and a ground hazard assessment-was designed to reveal any similar issues with the communication and identification of ground hazards in oil sands tailings operations.…”

Section: Methods To Increase Ground Hazard Identification In Oil Sandmentioning

confidence: 99%

Risk communication in Athabasca oil sands tailings operations

Baker

Macciotta

Hendry

et al. 2019

Saf. Extreme Environ.

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Oil sands operations involve many working groups, which can result in communication silos that make effective risk communication challenging. Workers are also directly at risk when they encounter conditions that contain hazards they are not equipped to identify and control. This is illustrated by fatalities in the oil sands related to unseen ground hazards at tailings storage and transport facilities. This research asked how gaps in communication between different working groups can be identified and how information about risks can be effectively disseminated to workers who interact with these facilities. Using ground hazards as a case study, we analyzed four datasets to identify areas for enhanced risk communication. The aim was to determine the hazards that workers see on the job site and compare their responses to tailings safety experts, geotechnical analysis, and recorded incidents. This will allow for the design of effective risk communication strategies at oil sands tailings operations. Traditional risk communication principles to disseminate information to external stakeholders will be applied to an internal audience of workers in tailings operations. The aim is to enhance the dialogue regarding risks across the organization. This will be done by increasing the knowledge and understanding of ground hazards in oil sands tailings operations, resulting in the invisible becoming seen and the risk tolerance among workers being lowered.

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Section: Methods To Increase Ground Hazard Identification In Oil Sandmentioning

confidence: 99%

Risk communication in Athabasca oil sands tailings operations

Baker

Macciotta

Hendry

et al. 2019

Saf. Extreme Environ.

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“…Numerous researchers have focused on studies of risk and hazard-related theories and the behavior of construction workers, such as the relationship between hazard recognition and risk perception [35,36]. The influencing factors of hazard recognition were investigated [37], and risk perception was considered a key factor of several safety constructs, such as safety performance and safety culture [38,39]. After perceiving risks while working, risk assessment is required to determine whether the workers can undertake these risks.…”

Section: Structural Equation Modellingmentioning

confidence: 99%

Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach

Meng

Chan

2021

IJERPH

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The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.

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“…Accurate identification and assessment of the potential consequences of construction site safety hazards by construction workers is an important prerequisite for safety management ( Farmer and Chambers, 1929 ). The better the construction workers’ ability to identify and assess the visible or potential safety hazards in the construction sites, the smaller are the chances of their unsafe behaviors occurring ( Perlman et al, 2014 ; Namian et al, 2016 ). Through a statistical analysis of the causes of 75,000 injuries and fatalities occurred in enterprises, American safety engineer Heinrich concluded that more than 88% of safety accidents were caused by unsafe human behavior ( Heinrich, 1941 ).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Emotional States on Construction Workers’ Recognition Ability of Safety Hazards Based on Social Cognitive Neuroscience

Chong

et al. 2022

Front. Psychol.

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The construction industry is one of the most dangerous industries with grave situation owing to high accident rate and mortality rate, which accompanied with a series of security management issues that need to be tackled urgently. The unsafe behavior of construction workers is a critical reason for the high incidence of safety accidents. Affective Events Theory suggests that individual emotional states interfere with individual decisions and behaviors, which means the individual emotional states can significantly influence construction workers’ unsafe behaviors. As the complexity of the construction site environment and the lack of attention to construction workers’ emotions by managers, serious potential emotional problems were planted, resulting in the inability of construction workers to effectively recognize safety hazards, thus leading to safety accidents. Consequently, the study designs a behavioral experiment with E-prime software based on social cognitive neuroscience theories. Forty construction workers’ galvanic skin response signals were collected by a wearable device (HKR-11C+), and the galvanic skin response data were classified into different emotional states with support vector machine (SVM) algorithm. Variance analysis, correlation analysis and regression analysis were used to analyze the influence of emotional states on construction workers’ recognition ability of safety hazards. The research findings indicate that the SVM algorithm could effectively classify galvanic skin response data. The construct ion workers’ the reaction time to safety hazards and emotional valence were negatively correlated, while the accuracy of safety hazards recognition and the perception level of safety hazard separately had an inverted “U” type relationship with emotional valence. For construction workers with more than 20 years of working experience, work experience could effectively reduce the influence of emotional fluctuations on the accuracy of safety hazards identification. This study contributes to the application of physiological measurement techniques in construction safety management and shed a light on improving the theoretical system of safety management.

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Critical Factors That Impact Construction Workers’ Hazard Recognition Performance

Cited by 21 publications

References 15 publications

Risk communication in Athabasca oil sands tailings operations

Risk communication in Athabasca oil sands tailings operations

Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach

The Impact of Emotional States on Construction Workers’ Recognition Ability of Safety Hazards Based on Social Cognitive Neuroscience

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