4.6 Article

Development Strategy Optimization for Off-Site Construction Projects: Synergy of the Government and Developers

Journal

JOURNAL OF MANAGEMENT IN ENGINEERING
Volume 38, Issue 3, Pages -

Publisher

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)ME.1943-5479.0001023

Keywords

Synergetic optimization; Development strategy; Off-site construction (OSC); Project; Stackelberg model

Funding

  1. National Social Science Fund of China [18ZDA043, 19VDL001]
  2. National Natural Science Foundation of China (NSFC) [72101044, 71671053, 71801119, 72071027]
  3. Guangdong Science and Technology Program [2019B101001019]
  4. Fundamental Research Funds for the Central Universities [DUT20RC (3)092]
  5. Foundation of China State Construction Engineering Corporation [CSCEC-2019-Z-15, CSCEC-2020-Z-12]

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This paper explores the optimization of off-site construction project development strategies from the synergetic perspective of the government and developers. By constructing a dynamic Stackelberg game model and conducting an example analysis, the optimal development strategies and the influences of key parameters in Changchun City, China are obtained. The proposed synergetic optimization model contributes to achieving a win-win goal of development.
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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