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Implementation of Construction Waste Recycling under Construction Sustainability Incentives: A Multi-Agent Stochastic Evolutionary Game Approach

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  • Ying Sun

    (School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Zhaolin Gu

    (School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Because of the rapid development of the economy and the process of urbanization, construction waste recycling is becoming increasingly important and should be considered. Motivated by effectively managing the construction waste recycling under sustainability incentives, the multi-agent stochastic game model is used to evaluate the evolutionary behavior of the government agencies, waste recyclers, and waste producers. To capture the uncertainty existing in the external environment, the replicator dynamic formula is integrated with Gaussian noise, and the Lyapunov exponent diagram is analyzed to illustrate the nonlinear dynamic behavior. The numerical approximations are then solved by utilizing the random Taylor expansion formula. Finally, a numerical simulation is performed to evaluate the evolutionary trajectories of the participants involved. The findings revealed that: (1) the government agency should adopt a positive supervision approach, which can encourage waste producers and recyclers to collaborate around each other; (2) lower sorting and disposal costs can enhance construction waste recycling; and (3) the existence of uncertainty in the environment around different participants will influence one’s strategy selection.

Suggested Citation

  • Ying Sun & Zhaolin Gu, 2022. "Implementation of Construction Waste Recycling under Construction Sustainability Incentives: A Multi-Agent Stochastic Evolutionary Game Approach," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:6:p:3702-:d:776297
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    References listed on IDEAS

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    1. Xinmin Liu & Kangkang Lin & Lei Wang & Hongkun Zhang, 2021. "Stochastic Evolutionary Game Analysis Between Special Committees and CEO: Incentive and Supervision," Dynamic Games and Applications, Springer, vol. 11(3), pages 538-555, September.
    2. Andrew Chapman & Hidemichi Fujii & Shunsuke Managi, 2018. "Key Drivers for Cooperation toward Sustainable Development and the Management of CO 2 Emissions: Comparative Analysis of Six Northeast Asian Countries," Sustainability, MDPI, vol. 10(1), pages 1-12, January.
    3. Vivian W. Y. Tam & Khoa N. Le & J. Y. Wang & I. M. Chethana S. Illankoon, 2018. "Practitioners Recycling Attitude and Behaviour in the Australian Construction Industry," Sustainability, MDPI, vol. 10(4), pages 1-23, April.
    4. Junqiang Li & Hao Ren & Changcheng Zhang & Qingxia Li & Kaifeng Duan, 2020. "Substantive Innovation or Strategic Innovation? Research on Multiplayer Stochastic Evolutionary Game Model and Simulation," Complexity, Hindawi, vol. 2020, pages 1-15, April.
    5. Bakshan, Amal & Srour, Issam & Chehab, Ghassan & El-Fadel, Mutasem & Karaziwan, Jalal, 2017. "Behavioral determinants towards enhancing construction waste management: A Bayesian Network analysis," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 274-284.
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    Cited by:

    1. Guojian Ma & Juan Ding & Youqing Lv, 2022. "SEIR Evolutionary Game Model Applied to the Evolution and Control of the Medical Waste Disposal Crisis in China during the COVID-19 Outbreak," Sustainability, MDPI, vol. 14(18), pages 1-18, September.

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