Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Risk Assessment of Prefabricated Buildings Based on Factor Analysis via SPSS: The Case of Qinghai Province

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328034,
        author={Qiuyu  Wang and Zhiqi  Gong},
        title={Risk Assessment of Prefabricated Buildings Based on Factor Analysis via SPSS: The Case of Qinghai Province},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={prefabricated building; risk identification; factor analysis},
        doi={10.4108/eai.2-12-2022.2328034}
    }
    
  • Qiuyu Wang
    Zhiqi Gong
    Year: 2023
    Risk Assessment of Prefabricated Buildings Based on Factor Analysis via SPSS: The Case of Qinghai Province
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328034
Qiuyu Wang1, Zhiqi Gong1,*
  • 1: Qinghai University Qinghai Provincial Key Laboratory of Energy-saving Building Materials and Engineering Safety
*Contact email: gzhq2007@foxmail.com

Abstract

Compared with traditional buildings, prefabricated buildings have significant advantages in protecting the environment, saving resources, and saving labor, and are regarded as the key to the transformation and upgrading of the construction industry. However, the development of prefabricated buildings in Qinghai Province is relatively backward, and there are many risk factors that hinder development. This research takes Qinghai Province as the research object and constructs a risk list containing 25 factors. Then, based on the principle of reducing the dimensionality of factor analysis, SPSS software is used for data processing and comprehensive analysis and evaluation of related indicators. Finally, it is concluded that the key risk factors of prefabricated buildings in Qinghai Province are divided into five categories: market risk, management risk, economic risk, policy risk and technical risk. The research results can provide suggestions for the Qinghai Provincial Government to formulate more effective prefabricated construction industry development policies.