Paper
28 July 2023 Research on collaborative risk governance mechanism of energy-saving building projects based on tripartite evolutionary game
Xufeng Xiong, Wei Zhan
Author Affiliations +
Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127560D (2023) https://doi.org/10.1117/12.2685996
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
The development of energy-saving building projects has been progressing for many years and with the emergence of carbon peaking and carbon neutrality, it faces a greater risk. To ensure its continued success, effective risk management is required. Therefore, a tripartite evolutionary game model for the collaborative risk management of the government, property owners and contractors has been created. Through the use of Matlab software for numerical simulation, the factors that affect the three-party strategy selection have been analyzed, and the results demonstrate the varying influence the initial willingness to participate has on the three-party strategic choice. It was found that the contractor is more sensitive to the government’s preferential policies, while the owner is more responsive to the government’s financial support. Besides, the increase in penalty is seen to be beneficial in promoting collaboration between the owner and contractor.
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Xufeng Xiong and Wei Zhan "Research on collaborative risk governance mechanism of energy-saving building projects based on tripartite evolutionary game", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127560D (28 July 2023); https://doi.org/10.1117/12.2685996
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KEYWORDS
Matrices

Numerical simulations

MATLAB

Carbon

Dynamical systems

Factor analysis

Energy

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