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Analysis of the Evolution Game of Stakeholders’ Behaviour in the Operation Stage of Green Buildings
This study aims to solve the problem of uncoordinated interests among the stakeholders in the operation stage (OS) of green buildings (GBs). First, the requirements and conflicts between the owners and property service enterprises (PSEs) are analysed. Secondly, the evolutionary game model of owners and PSEs is developed. It was found that the game system will evolve towards the ideal equilibrium stability strategy only under the following conditions: (i) the income of owners in green property management (GPM) is greater than the sum of the income of PSEs shared by the owner in GPM and the transaction costs generated when the owners choose to support GPM, and (ii) the sum of the income of PSEs shared by the owner in GPM and the additional benefits that PSEs can get by choosing GPM is greater than the total cost incurred by PSEs in choosing GPM. We carried out quantitative tests for equilibrium stability results and analysed the factor that influence the evolution path based on simulations performed in MATLAB. The results show that improving the operational income of GBs, increasing the additional income of PSEs, reducing the operating transaction costs and adopting a reasonable revenue sharing method are effective ways to coordinate the interests of all parties involved in the OS of GBs.
Keywords
Evolutionary Game Theory, Green Buildings, Operation Stage, Stakeholders.
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- Li, Y. et al., Green building in China: needs great promotion. Sustain. Cities Soc., 2014, 11, 1–6.
- Zuo, J. et al., Green building evaluation from a life-cycle perspective in Australia: a critical review. Renew. Sustain. Energ. Rev., 2017, 70, 358–368.
- Gong, Y. et al., Life cycle assessment applied to green building certification in South Korea. Proc. Eng., 2015, 118, 1309–1313.
- Liao, C. Y., Tan, D. L. and Li, Y. X., Research on the application of BIM in the operation stage of green building. Appl. Mech. Mater., 2012, 5, 2111–2114.
- Fu, H., Manogaran, G., Wu, K., Cao, M., Jiang, S. and Yang, A., Intelligent decision-making of online shopping behavior-based on internet of things. Int. J. Inf. Manage., 2019; doi:10.1016/ j.ijinfomgt.2019.03.010
- Yu, L. et al., The practice research based on the POE system of environmental performance of green residential building. Proc. Eng., 2016, 146, 204–209.
- Li, H., Ng, S. T. and Skitmore, M., Stakeholder impact analysis during post-occupancy evaluation of green buildings – a Chinese context. Build. Environ., 2018, 128, 89–95.
- Shi, Q. et al., Objective conflicts in green buildings projects: a critical analysis. Build. Environ., 2016, 96, 107–117.
- Limaei, S. M., Mixed strategy game theory, application in forest industry. For. Policy Econ., 2010, 12(7), 527–531.
- Wang, M., Evolutionary game theory based evaluation system of green building scheme design. Cogn. Syst. Res., 2018, 52, 622– 628.
- Anna, Game analysis of the economic incentive policies of the green building demand side. J. Ecol. Econ., 2012, 2, 107–110.
- Chen, C., Pearlmutter, D. and Schwartz, M., A game theory-based assessment of the implementation of green building in Israel. Build. Environ., 2017, 125, 122–128.
- Liu, G. and Wei, H. Q., Study of green building operations management incentive mechanism design based on externality. J. Tianjin Chengjian Univ., 2017, 23(2), 134–138.
- Tang, M., Sun, D. M. and Ma, S. Z., Research and analysis on operating result and carbon emissions of green building. Constr. Technol., 2012, 41(3), 30–33.
- Huo, Y., Incentive for optimization of the green building operation under supply-side reform. Value Eng., 2017, 36(12), 1–3.
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