| Issue |
E3S Web Conf.
Volume 656, 2025
2025 6th International Conference on Urban Engineering and Management Science (ICUEMS 2025)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 7 | |
| Section | Urban Infrastructure and Safety | |
| DOI | https://doi.org/10.1051/e3sconf/202565601015 | |
| Published online | 30 October 2025 | |
Risk Assessment and Coping Strategies for the Construction Quality of Healthy Buildings
1 Department of Civil Engineering, Brunel London School North China University of Technology, Shijingshan District, Beijing, China
2 Zaozhuang Smart Manufacturing Industry Promotion Centure, Xuecheng District, Zaozhuang, China
3 China University of Mining and Technologh, Quanshan District, Xuzhou, China
* Corresponding author: lysandmyself@qq.com
With the promotion of green building and sustainable development concepts, healthy buildings have gradually become a focus in the global construction industry. However, the construction quality of healthy buildings faces multidimensional risks, including technical, material, personnel, and management factors, requiring an effective risk assessment method. This study proposes a healthy building construction quality risk assessment model based on the C-OWA operator weighting method and cloud model, combined with the grey clustering method for model verification. Through the Delphi method, 7 First-level indicators and 32 Second-level indicators were identified, and a risk assessment system was built. An empirical analysis of the M healthy building project shows that technical and management risks are the main factors affecting construction quality. Based on the assessment results, this study proposes countermeasures targeting different risk types, including optimizing technical standards, improving management systems, and enhancing the qualifications of construction personnel. The results show that the model can effectively assess construction quality risks and assist quantification of risk reduction for healthy buildings.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

