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Abdel Aziz, A M (2024) Statistical analysis and representation models of calendar-day liquidated damages. Journal of Construction Engineering and Management, 150(06).
Cao, N and Cheung, S O (2024) Voluntary mediation as a tenable resolution mechanism for construction disputes. Journal of Construction Engineering and Management, 150(06).
Cui, L Z, Liu, J, Luo, H, Wang, J, Zhang, X, Lv, G and Xie, Q (2024) Deformation measurement of tunnel shotcrete liner using the multiepoch lidar point clouds. Journal of Construction Engineering and Management, 150(06).
Han, Y, Soomro, M A, Li, Y, Garvin, M J and Xue, R (2024) Exploring farmers' willingness to engage in participatory irrigation infrastructure programs: Evidence from a water-stressed region. Journal of Construction Engineering and Management, 150(06).
Houng, S C, Pal, A and Lin, J J (2024) 4D BIM and reality model-driven camera placement optimization for construction monitoring. Journal of Construction Engineering and Management, 150(06).
Jin, Z, Gambatese, J A and Nnaji, C (2024) Musculoskeletal disorder risk assessment in modern ready-made concrete formwork construction. Journal of Construction Engineering and Management, 150(06).
Kim, J, Chung, S and Chi, S (2024) Cross-lingual information retrieval from multilingual construction documents using pretrained language models. Journal of Construction Engineering and Management, 150(06).
Kim, S, Ghimire, P, Jeong, H D and Barutha, P (2024) Comparative analysis of project risks across construction sectors. Journal of Construction Engineering and Management, 150(06).
Liu, G, Ma, Z, Li, J, Li, S, Zhou, X and Song, Y (2024) Framework of digital lean construction and implementation of its management platform for the construction phase. Journal of Construction Engineering and Management, 150(06).
Liu, W, Zhang, J, Qu, C and Zhang, H (2024) Performance of priority rules for finance-based and resource-constrained project scheduling heuristics. Journal of Construction Engineering and Management, 150(06).
Masood, R, Roy, K, Gonzalez, V A and Lim, J B P (2024) Ameliorating supply chains of prefabricated housebuilding: An integrated performance framework. Journal of Construction Engineering and Management, 150(06).
Shen, J, Liu, S and Zhang, J (2024) Using text mining and Bayesian network to identify key risk factors for safety accidents in metro construction. Journal of Construction Engineering and Management, 150(06).
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(06).
- Type: Journal Article
- Keywords: collaborative driving mechanism; prefabricated buildings; stochastic evolutionary models; system dynamics
- ISBN/ISSN: 0733-9364
- URL: http://doi.org/10.1061/JCEMD4.COENG-14396
- 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.
Wang, W, Hao, S, Zhong, H and Sun, Z (2024) Toward sustainable construction: Optimizing carbon emission reduction in the building supply chain through game-theoretic strategies, government subsidies, and cost-sharing contract. Journal of Construction Engineering and Management, 150(06).
Wu, H, Zhang, P, Li, H, Zhong, B, Guo, S, Fung, I W H and Lee, Y Y (2024) Blockchain impact on construction quality management and its adoption analysis: A game theory-based method. Journal of Construction Engineering and Management, 150(06).
Yang, Z and Lu, W (2024) Lean modular integrated construction production phase planning under uncertainties: A big data-driven optimization approach. Journal of Construction Engineering and Management, 150(06).
Zeberga, M S, Haaskjold, H and Hussein, B (2024) Digital technologies for preventing, mitigating, and resolving contractual disagreements in the AEC industry: A systematic literature review. Journal of Construction Engineering and Management, 150(06).
Zhang, F, Liu, H, Chen, Z, Wang, L, Zhang, Q and Guo, L (2024) Collision risk warning model for construction vehicles based on YOLO and DeepSORT algorithms. Journal of Construction Engineering and Management, 150(06).