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Biswas, P K, Khan, S M, Piratla, K and Chowdhury, M (2023) Development and evaluation of statistical and machine-learning models for queue-length estimation for lane closures in freeway work zones. Journal of Construction Engineering and Management, 149(05).
Chong, H Y and Cheng, M (2023) Smart contract implementation in building information modeling-enabled projects: Approach to contract administration. Journal of Construction Engineering and Management, 149(05).
Ding, S, Hu, H, Dai, L and Wang, W (2023) Blockchain adoption among multi-stakeholders under government subsidy: From the technology diffusion perspective. Journal of Construction Engineering and Management, 149(05).
Feng, Z, Chao, Q, Tan, C and Yang, Y (2023) Using bargaining model with loss aversion and a risk of breakdown to determine compensation for buyback of early terminating BOT highway projects. Journal of Construction Engineering and Management, 149(05).
Garg, S and Misra, S (2023) Framework for estimating quality-related incentive and disincentive in construction projects. Journal of Construction Engineering and Management, 149(05).
Gonsalves, N, Akanmu, A, Gao, X, Agee, P and Shojaei, A (2023) Industry perception of the suitability of wearable robot for construction work. Journal of Construction Engineering and Management, 149(05).
Han, S, Jiang, Y, Huang, Y, Wang, M, Bai, Y and Spool-White, A (2023) Scan2drawing: Use of deep learning for as-built model landscape architecture. Journal of Construction Engineering and Management, 149(05).
Jung, H, Seo, W and Kang, Y (2023) Differences in workers' safety behavior by project size and risk level of work in South Korea. Journal of Construction Engineering and Management, 149(05).
- Type: Journal Article
- Keywords: multigroup analysis; safe behavior; safety; structural equation modeling
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-12890
- Abstract:
Unsafe behavior is the main cause of accidents in the construction industry. Considering the fact that accidents occur more frequently in small projects and on more hazardous works, this study tests the hypotheses that workers' safety behavior varies (1) with project size, and (2) with the risk level of work. Survey data were collected from a total of 313 construction workers at 21 sites using questionnaires, and the data were analyzed using a series of factor analyses and structural equation modeling. Multigroup factor analysis revealed that the mean safety behavior value for the workers in large projects was greater than that for the workers in small projects, with a statistically significant difference. This indicates that large-project workers tend to behave more safely than small-project workers. However, no statistically significant difference was found for the workers' safety behavior with regards to the risk level of work. In addition, the differences in the impacts of three factors (management commitment, supervisor's role, and workers' perception of safety) on safety behavior depending on the project size and risk level of work were investigated using multigroup structural equation modeling. Management commitment had the greatest impact on workers' safety behavior in large projects, whereas workers' perception of safety had the greatest impact in small projects. Regarding the risk level, management commitment had the greatest impact on safety behavior with low-risk work, and workers' perception of safety had the greatest impact with high-risk work. These results suggest that management commitment is more important to control worker's safety behavior to prevent accidents for large projects and low-risk works, whereas the workers' safety perception is more important to prevent accidents for small projects and high-risk works. This study provides a new theoretical basis for explaining the variations in workers' safety behavior group to group, and facilitates the development of future safety policies and systems. This study also contributes to the establishment of strategic planning and the justification for spending relevant resources to improve workers' safety behavior.
Labik, O, Nahmens, I, Ikuma, L and Harvey, C (2023) On-site versus in-factory installation of solar-plus-storage in modular construction. Journal of Construction Engineering and Management, 149(05).
Saqib, G, Hassan, M U, Zubair, M U and Choudhry, R M (2023) Investigating the acceptance of an electronic incident reporting system in the construction industry: An application of the technology acceptance model. Journal of Construction Engineering and Management, 149(05).
Shen, K, Zhu, Y, Pan, J and Li, X (2023) An intelligent decision-making model for the design of precast slab joints based on case-based reasoning. Journal of Construction Engineering and Management, 149(05).
Ullal, A (2023) Construction conditions and practices during war in Afghanistan. Journal of Construction Engineering and Management, 149(05).
Wang, C, Zhang, S, Gao, Y, Guo, Q and Zhang, L (2023) Effect of contractual complexity on conflict in construction subcontracting: Moderating roles of contractual enforcement and organizational culture distance. Journal of Construction Engineering and Management, 149(05).
Wang, J, Han, C and Li, X (2023) Modified streamlined optimization algorithm for time-cost tradeoff problems of complex large-scale construction projects. Journal of Construction Engineering and Management, 149(05).
Xue, G, Liu, S, Ren, L and Gong, D (2023) Adaptive cross-scenario few-shot learning framework for structural damage detection in civil infrastructure. Journal of Construction Engineering and Management, 149(05).
Zhang, Y, Minchin, R E, Flood, I and Ries, R J (2023) Preliminary cost estimation of highway projects using statistical learning methods. Journal of Construction Engineering and Management, 149(05).
Zhou, Y, Wang, X, Gosling, J and Naim, M M (2023) The system dynamics of engineer-to-order construction projects: Past, present, and future. Journal of Construction Engineering and Management, 149(05).