The spread of construction quality risks is directly related to the safety, economy and social impact of major projects. This study aims to explore the transmission mechanism and equilibrium conditions of construction quality risks in the social network of major projects based on complex network and transmission dynamics theories and to identify key pathways for promoting professional construction risk management in order to ensure project quality and enhance project management capabilities.
This study first constructs a social network model for major project construction based on the BA scale-free network of complex network theory. By simulating the dynamic evolution process of the network and analyzing various statistical indicators, it verifies that the model conforms to the characteristics of complex networks. Secondly, an improved SIRS epidemic model incorporating a market exit rate is constructed to analyze the conditions for the spread and equilibrium of construction quality risks in the network of major projects and to form specific quantitative formulas for risk propagation parameters. Finally, simulations are conducted to explore the impact of changes in construction quality risk sources and risk propagation parameters on the propagation of construction quality risks.
The findings reveal that the transmission of construction quality risks in major projects is a result of multiple factors intertwined and working together, among which the intensity of construction quality risk sources, risk response capability and risk recovery capability are the key factors affecting risk transmission. Attention should be given to early warning mechanisms, emergency response and enhancing risk awareness in order to reduce the impact of construction quality risks in major projects, strengthen response capabilities and ensure the excellence and reliability of major project quality.
This study reveals the formation mechanism of construction quality risk propagation and the interaction patterns of various influencing factors in major projects under social network relationships, enriching the theoretical research in the field of construction risk governance and providing effective strategic suggestions for enhancing risk prevention and control in major engineering projects.
