Shi, Q; Wang, Z and Zhu, J (2024) Developing collaborative driving mechanism of prefabricated buildings using multiagent stochastic evolutionary game. Journal of Construction Engineering and Management, 150(6): 04024050, ISSN 0733-9364
Abstract
The prefabricated building has been widely promoted in recent years as it can effectively alleviate the conflict between economic growth and environmental resources. However, the development of the prefabricated building has fallen short of anticipated goals under the influence of the dynamic circumstances and behavioral strategies of multiple stakeholders. Understanding the relevant stakeholders' behavioral strategies and collaborative evolution mechanisms is key to promoting prefabricated buildings' orderly and efficient development. Therefore, this study combines the evolutionary game theory with system dynamics, introduces Gaussian white noise stochastic disturbance terms to model the complex characteristics of multiagent behavior toward prefabricated buildings, and establishes evolutionary game models and stochastic evolutionary game models for local governments, contractors, and consumers. Subsequently, the influences of strategy choice behavior with or without central government supervision were analyzed to study the collaborative driving mechanism of prefabricated buildings under the multiple effects of the government and market. The findings of this research underscore the necessity for government and market collaboration in championing the sustainable evolution of prefabricated buildings. While central government supervision spurs the growth of these structures, its static reward-punishment approach offers only fleeting collaborative momentum and fails to ensure market steadiness. In contrast, the improved dynamic incentive and disincentive mechanism can effectively control fluctuations in the evolutionary process, which is critical in achieving stable development and collaborative governance toward prefabricated buildings. This study contributes to the body of knowledge by broadening the horizons of evolutionary game theory applications and providing a perspective for understanding the behavioral strategies driving the development of prefabricated buildings by both government and market forces. Therefore, a series of driving mechanisms is proposed, providing theoretical guidance and practical insights to prompt the long-term development of prefabricated buildings more effectively.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | collaborative driving mechanism; prefabricated buildings; stochastic evolutionary models; system dynamics |
| Index terms: | strategy, local government, body of knowledge, system dynamics, collaboration, evolution, governance, supervision, evolutionary game, prefabricated building, economic growth |
| Subjects: | building construction, economic theory, administrative law, economic development, management, knowledge management, environmental science, business, computing systems, control systems |
| Topics: | Organizational Design, Digital Applications, Legal Issues, Sustainability, Governance, Construction Technology, Information Management, Research Practice, Project Management, Business Strategy |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here