Research Progress in Construction Workers’ Risk-Taking Behavior and Hotspot Analysis Based on CiteSpace Analysis DOI Creative Commons
Qi Luo, Sihan Wang, Jianling Huang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3786 - 3786

Published: Nov. 27, 2024

With the continuous development of global construction industry and urbanization, accident rate in has also been increasing year by year, with workers’ risk-taking behavior being an important factor. Therefore, effectively reducing occurrence improving safety are great significance to both academia management. Based on relevant literature behaviors published between 1 January 2012 28 August 2024, this study uses CiteSpace software visualize analyze countries, institutions, authors, cited works, keywords 272 selected articles. It aims current status from multiple perspectives, reveal research hotspots, predict future trends. The results show that, firstly, emergence among workers is closely related a variety factors, such as work pressure, environmental atmosphere, organizational culture, etc. needs further explore how consider these factors comprehensively understand causes more comprehensively. Second, methods becoming increasingly diversified, means have shifted single empirical analysis comprehensive analysis, incorporating advanced equipment. Third, focus object gradually traditional behavioral patterns adolescents occupational groups, especially workers, which strengthens management field. Fourth, mode standardized, scope can be extended all stages behavior, methodology focused precision effectiveness. This not only helps scholars understanding state direction provides valuable references for managers improve strategies practice.

Language: Английский

Understanding construction workers’ cognitive processes under risky scenarios through electroencephalography DOI Creative Commons
Tanghan Jiang, Yihai Fang, Zheng Nan

et al.

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105674 - 105674

Published: Aug. 7, 2024

The application of the Electroencephalogram (EEG) technology shows promises in uncovering workers' cognitive processes affecting safety performance construction. Despite increasing interest research, it is yet challenging to ensure coherence and mitigate biases when interpreting cognition from EEG data. This paper presents a comprehensive review applications construction categorising aims, methodologies, experiment design, data processing methods evaluation approaches. Furthermore, identifies several critical avenues for future including deeper exploration dynamics safety-critical environments, integration real-time monitoring, longitudinal analysis factors, cultural gender influences on practices, addressing special psychological conditions. emphasises importance considering ethical implications, user acceptability, practical deployment challenges. Overall, makes effort towards guiding effective research safer practices.

Language: Английский

Citations

5
Monitoring Construction Workers’ Mental Workload Due to Heat Exposure Using Heart Rate Variability and Eye Movement: A Study on Pipe Workers DOI Creative Commons

Shiyi He,

Dongxin Qi,

Enkai Guo

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2377 - 2377

Published: April 9, 2025

Monitoring the mental workload of construction workers is effective in detecting risky subjects because cognitive overload may threaten their safety. This study aimed to measure workers’ caused by heat exposure using heart rate variability (HRV) and eye movement features. Inexperienced pipe (n = 30) were invited perform an installation task a normothermic (26 °C, 50% RH) hyperthermic (33 condition. Their HRV features recorded as inputs training models classifying between two thermal conditions, supervised machine learning algorithms, including Support Vector Machines (SVM), KNearest Neighbor (KNN), Linear Discriminant Analysis (LDA), Random Forest (RF). The results show that applying eight through KNN algorithm could obtain highest classification accuracy 90.00% (Recall 0.933, Precision 0.875, F1 0.903, AUC 0.887). provide new perspective for monitoring workers, it also feasible approach industry monitor hot conditions.

Language: Английский

Citations

0
Revolutionizing Safety Practices: Integrating Neuroscience into Predictive Analytics for the Construction Site Stress Reduction DOI
Mina Sadat Orooje, Fulvio Re Cecconi, Gaang Lee

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1392 - 1400

Published: Jan. 1, 2025

Language: Английский

Citations

0
Biometric Evaluation and Immersive Construction Environments: A Research Overview of the Current Landscape, Challenges, and Future Prospects DOI
Hao Chen, Zhao Dong, Isabelle Yee Shan Chan

et al.

Journal of Construction Engineering and Management, Journal Year: 2025, Volume and Issue: 151(7)

Published: May 8, 2025

Language: Английский

Citations

0
Building Information Modeling Applications in Civil Infrastructure: A Bibliometric Analysis from 2020 to 2024 DOI Creative Commons
Yaning Li, Yongchang Li, Zhikun Ding

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3431 - 3431

Published: Oct. 28, 2024

Building Information Modeling (BIM) has emerged as a transformative technology in the Architecture, Engineering, and Construction (AEC) industry, with increasing application civil infrastructure projects. This study comprehensively reviews research landscape of BIM applications through bibliometric analysis. Based on data from Web Science database, 646 relevant papers published between 2020 2024 were collected, 416 selected for in-depth analysis after screening. Using methods, reveals evolution trends, identifies key contributors influential publications, maps knowledge structure field. Our shows significant increase output over past five years, particularly studies focusing integration emerging technologies such Digital Twins, Internet Things (IoT), Machine Learning. The results indicate that United States, China, Kingdom lead terms citation impact. Additionally, based clustering representative keywords, several clusters identified, including lifecycle management, collaboration large-scale projects, sustainable design.

Language: Английский

Citations

1
Research Progress in Construction Workers’ Risk-Taking Behavior and Hotspot Analysis Based on CiteSpace Analysis DOI Creative Commons
Qi Luo, Sihan Wang, Jianling Huang

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(12), P. 3786 - 3786

Published: Nov. 27, 2024

With the continuous development of global construction industry and urbanization, accident rate in has also been increasing year by year, with workers’ risk-taking behavior being an important factor. Therefore, effectively reducing occurrence improving safety are great significance to both academia management. Based on relevant literature behaviors published between 1 January 2012 28 August 2024, this study uses CiteSpace software visualize analyze countries, institutions, authors, cited works, keywords 272 selected articles. It aims current status from multiple perspectives, reveal research hotspots, predict future trends. The results show that, firstly, emergence among workers is closely related a variety factors, such as work pressure, environmental atmosphere, organizational culture, etc. needs further explore how consider these factors comprehensively understand causes more comprehensively. Second, methods becoming increasingly diversified, means have shifted single empirical analysis comprehensive analysis, incorporating advanced equipment. Third, focus object gradually traditional behavioral patterns adolescents occupational groups, especially workers, which strengthens management field. Fourth, mode standardized, scope can be extended all stages behavior, methodology focused precision effectiveness. This not only helps scholars understanding state direction provides valuable references for managers improve strategies practice.

Language: Английский

Citations

1