Measuring and Computing Cognitive Statuses of Construction Workers Based on Electroencephalogram: A Critical Review

Cheng, Baoquan; Fan, Chaojie; Fu, Hanliang; Chen, Huihua; Chen, Huihua; Luo, Xiaowei

doi:10.1109/tcss.2022.3158585

Cited by 96 publications

(64 citation statements)

References 90 publications

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“…Jiang et al ( 2015 ) identified the personal, environmental and organizational conditions which affected affect workers' behaviors through cognitive analysis and established a system dynamics model to explain how it affect these behaviors. Cheng et al ( 2022 ) provided a systemic review of the application of electroencephalogram in computing construction workers' cognitive statuses which affect their safety and productivity. Xia et al ( 2020 ) formed the antecedent model of worker's unsafe behaviors through the literature review of empirical research and the model included 83 factors which were divided into 5 groups.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of Construction Workers' Unsafe Behaviors Based on Incentive and Punishment Mechanisms

et al. 2022

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Construction is one of the most dangerous industries because of its open working environment and risky construction conditions. In the process of construction, risk events cause great losses for owners and workers. Most of the risk events are closely related to unsafe behaviors of workers. Therefore, it is of great significance for contractors to establish management measures, e.g., incentive and punishment mechanism, to induce workers to reduce unsafe behaviors. This paper aims to take the incentive and punishment mechanism into consideration and develop an evolutionary game model to improve the effectiveness of safety management. The evolutionary stability strategies which can help reduce unsafe behaviors are obtained and analyzed. Results show that there are 12 equilibrium strategies under the condition of different parameters. Specifically, the incentive and punishment mechanism has played an important role for the evolution direction. A balanced incentive and punishment mechanism for the investment and positive stimulus for workers can effectively promote both sides to take positive behaviors, and then realize good evolutionary stable situations. In addition, the initial perceptions of both sides have a decisive impact on the evolution direction. Strengthening communication with the mutual trust between both sides can improve safety performance of both sides. This study is valuable for contractors to design appropriate incentive and punishment measures and establish relevant strategies to promote safe behaviors of construction workers.

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Section: Introductionmentioning

confidence: 99%

Evolutionary Game Analysis of Construction Workers' Unsafe Behaviors Based on Incentive and Punishment Mechanisms

et al. 2022

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“…Neuromanagement in engineering, which integrates research approaches in neuroscience into engineering management ( Yu et al, 2022 ), provide a powerful and advanced tool for human cognition and behavior research besides hazard recognition of construction workers. Emerging neuroscience techniques including eye-tracking, electroencephalogram (EEG) ( Cheng et al, 2022 ; Saedi et al, 2022 ), functional near-infrared spectroscopy (fNIRS) ( Zhou et al, 2021 ). EEG is a diagnostic imaging technique used to obtain information about brain activities by detecting the voltage variations induced by neurons on the scalp cortical surface ( Jeon and Cai, 2021 ; Ke et al, 2021 ; Peng et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Eye-Tracking Studies of Construction Safety

et al. 2022

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Safety is the most important concern in the construction industry, and construction workers’ attention allocation is closely associated with their hazard recognition and safety behaviors. The recent emergence of eye-tracking techniques allows researchers in construction safety to further investigate construction workers’ visual attention allocation during hazard recognition. The existing eye-tracking studies in construction safety need to be comprehensively understood, to provide practical suggestions for future research and on-site safety management. This study aims to summarize previous studies on the application of eye-tracking techniques to the construction safety context through a systematic literature review. The literature search and study selection process included 22 eligible studies. Content analysis was then carried out from participant selection, device selection, task design, area of interest determination, feature extraction, data analysis, and main findings. Major limitations of the existing studies are identified, and recommendations for future research in theoretical development, experiment improvement, and data analysis method advancement are proposed to address these limitations. Even though the application of eye-tracking techniques in construction safety research is still in its early stage, it is worth future continuous attention because relevant discoveries would be of great significance to hazard control and safety management in the construction industry.

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“…It is easy to generate a large amount of different CDW in the activities of earthwork, bridge construction, and tunnel excavation. Such a huge scale of China's railways must generate a lot of CDW, which decides CDW minimization through improved CDWM is the key to the sustainable development in railway engineering in China [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment of Construction and Demolition Waste from Railway Engineering Projects

Huang

Yin

Zheng

et al. 2022

Computational Intelligence and Neuroscience

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Railway engineering generates large amounts of construction and demolition waste (CDW). To quantify the amount of CDW generated from railway engineering projects throughout the whole life cycle, a process-based life cycle assessment model is proposed in this paper. The life-cycle CDW is divided into four parts: CDW from off-site transportation of construction materials (OSTCM), CDW from site operation wastage of construction materials (SOWCM), discard ballast from roadbeds, stationyard, bridges and tunnels (DB), and CDW from reparation and renewal of aging components (RRAC). Yun-Gui Railway is selected as a case study to validate the developed model, and an uncertainty analysis is conducted with Oracle Crystal Ball software. The results show that between 175 and 311 million tons of CDW is generated throughout the whole life cycle of Yun-Gui Railway. DB is the largest component of the life-cycle CDW from railway engineering projects. This indicates the negative environmental impacts of railway construction can be significantly mitigated by optimizing the location of ballast disposal sites and developing suitable landfill proposals. Also, the CDW generated by wastage of construction materials during off-site construction and site operation is important in waste management in railway engineering projects, in which rubble, sand, and cement have the high potential for waste reduction. Findings from this study can contribute to the knowledge body as well as the engineering practice in green railways.

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Measuring and Computing Cognitive Statuses of Construction Workers Based on Electroencephalogram: A Critical Review

Cited by 96 publications

References 90 publications

Evolutionary Game Analysis of Construction Workers' Unsafe Behaviors Based on Incentive and Punishment Mechanisms

Evolutionary Game Analysis of Construction Workers' Unsafe Behaviors Based on Incentive and Punishment Mechanisms

A Systematic Review of Eye-Tracking Studies of Construction Safety

Life Cycle Assessment of Construction and Demolition Waste from Railway Engineering Projects

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