Application Feasibility and Optimization Scheme of Modular Building in Multiple Fields

He Li

doi:10.54097/7xkvrv93

Authors

He Li Brunel London School, North China University of Technology,100114 Beijing, China

DOI:

https://doi.org/10.54097/7xkvrv93

Keywords:

Modular construction; multinomial logistic regression; influencing factors; construction efficiency; low-carbon performance.

Abstract

Against the backdrop of the green transformation and high-quality development of the construction industry, modular construction has gradually become a key development direction of the modern construction sector due to its inherent intensive and efficient characteristics. This study takes 8 locations across 5 cities in Yunnan Province and Yanhekou Village, Mentougou District, Beijing as the research areas. We conducted on-site visits to 7 modular construction projects, in-depth interviews with 186 relevant stakeholders, and collected 812 valid questionnaires. Using the multinomial logistic regression model, this paper systematically analyzes the application effects and influencing factors of modular construction. The results show that modular construction has significant advantages in construction efficiency, cost control, low-carbon performance and environmental protection, and enjoys high acceptance among different groups. Meanwhile, aiming at the existing problems in prefabricated construction such as operation and maintenance difficulties and poor cultural adaptation, this study puts forward targeted optimization suggestions, which provide empirical support and practical reference for the large-scale promotion of modular construction.

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