Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

Early Warning of Safety Risks in Prefabricated High-Rise Construction

Authors
Tingting Guo1, Ting Zhang1, *, Jia-Ao Wang1
1Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration, Fuxin, 125105, China
*Corresponding author. Email: 775404925@qq.com
Corresponding Author
Ting Zhang
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_28How to use a DOI?
Keywords
Safety Engineering; Prefabricated Construction; Risk Analysis and Prediction; Bayesian Network
Abstract

As intelligent construction technology advances in the field of high-rise prefabricated construction, there has been a notable improvement in the level of construction safety management. However, construction safety incidents, especially those related to unsafe behaviors of construction personnel, still occur and are a key factor affecting the overall safety level. In response to this situation, this study collected 100 cases of safety incidents in high-rise prefabricated construction in China and refined them through an improved Human Factors Analysis and Classification System (HFACS) framework. This framework was used to deeply analyze the root causes of unsafe behaviors in high-rise prefabricated construction, constructing a structural system that includes multiple levels of influencing factors. By employing expert interviews and qualitative analysis methods using the Interpretive Structural Modeling (ISM), the intrinsic connections between influencing factors at different levels were revealed, further refining the interaction mechanisms of risk factors. The study developed a Bayesian Network (BN) model that reflects the factors influencing unsafe behaviors of construction personnel. The study shows that the probabilities of operator misjudgment, poor workspace planning, and machine-related threats are 29%, 30%, and 26%, respectively. Particularly noteworthy is that among the top-level influencing factors, government regulation and policy enforcement have the most significant effect on standardizing the behaviors of construction enterprises. Sensitivity analysis shows that these have the highest impact, highlighting the central role of policy orientation and legal enforcement in preventing unsafe construction behaviors.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_28How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Tingting Guo
AU  - Ting Zhang
AU  - Jia-Ao Wang
PY  - 2024
DA  - 2024/11/22
TI  - Early Warning of Safety Risks in Prefabricated High-Rise Construction
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 259
EP  - 270
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_28
DO  - 10.2991/978-94-6463-570-6_28
ID  - Guo2024
ER  -