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Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects

Author

Listed:
  • Bai Xiaoping
  • Pu Tao
Abstract
The safety evaluation of construction projects is a very important problem. In the current study, the new smart methods especially for the complexity and variability of construction safety evaluation are absent. Combined with the engineering examples, this paper analyzes the sensitive factors that affect the construction project safety and makes discretizating of influencing factors based on expert and BIM technique. Based on BIM and Bayesian network, this paper established a new construction project safety evaluation model and presented the hybrid methods of strategic learning and knowledge management of technological innovation in construction project safety evaluation. Combined with the example of underground traffic engineering of Zhengzhou city comprehensive transportation hub, the Bayesian network was used to predict its security level. The probability of the safety level of the project in grade 3 is 0.614. Compared to other evaluation methods, presented hybrid method is more intelligent in strategic learning and knowledge management of technological innovation. Through the Bayesian network sensitivity analysis, we can know that the sensitivity factor of the construction project safety in the project is the construction risk, the continuous operation time, the protective measures, the material risk, and the number of maintenance. Presented detailed computational methods and steps in this paper can be used to improve the level of construction project safety effectively and help construction managers to take more effective control measures to prevent or reduce the occurrence of security incidents.

Suggested Citation

  • Bai Xiaoping & Pu Tao, 2021. "Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects," SAGE Open, , vol. 11(4), pages 21582440211, November.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211061536
    DOI: 10.1177/21582440211061536
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    References listed on IDEAS

    as
    1. Ayirebi Dansoh & Samuel Frimpong & Daniel Oteng, 2017. "Industry environment features influencing construction innovation in a developing country: a case study of four projects in Ghana," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 9(1), pages 65-95.
    2. Zubizarreta, Mikel & Cuadrado, Jesús & Iradi, Jon & García, Harkaitz & Orbe, Aimar, 2017. "Innovation evaluation model for macro-construction sector companies: A study in Spain," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 22-37.
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