Development Strategy Optimization for Off-Site Construction Projects: Synergy of the Government and Developers
Publication: Journal of Management in Engineering
Volume 38, Issue 3
Abstract
Off-site construction (OSC) has received increasing attention worldwide, given its advantages over conventional counterparts. However, the performance of OSC’s practice has yet to be improved, despite the significant policy effort spent. This paper explores OSC project development strategy optimization from the synergetic perspective of the government and developers. A dynamic Stackelberg game is constructed and, after rigorous theoretical deductions, an example analysis is conducted to determine a proper algorithm for the model’s solution. Using Changchun City, China, as an example, the data are collected from policy documents and public web information, and through use of the Delphi method. The optimal development strategies of the local government and developers and the influences of key parameters are then obtained. The synergetic optimization model proposed by this study is conducive to achieving a “win-win” goal of maximizing both developers’ economic benefits and the total social benefits. This is a breakthrough in the previous research, contributing to effectively promoting OSC within and beyond the Chinese context.
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Data Availability Statement
Some or all of the data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was supported by the National Social Science Fund of China (Nos. 18ZDA043 and 19VDL001). The work described in this paper was also funded by the National Natural Science Foundation of China (NSFC) (Nos. 72101044, 71671053, 71801119, and 72071027), the Guangdong Science and Technology Program (No. 2019B101001019), the Fundamental Research Funds for the Central Universities (No. DUT20RC (3)092), and the Foundation of China State Construction Engineering Corporation (CSCEC-2019-Z-15 and CSCEC-2020-Z-12).
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Received: Jun 30, 2021
Accepted: Nov 25, 2021
Published online: Feb 28, 2022
Published in print: May 1, 2022
Discussion open until: Jul 28, 2022
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