Literature DB >> 32562906

Multi-agent evolutionary game in the recycling utilization of construction waste.

Yongbo Su1.   

Abstract

The recycling utilization of construction waste (CW) is of great importance to reduce waste discharge and protect natural resources. This study investigated the evolutionary decision making process and stable strategies among three stakeholders, including the government agency (GA), waste recycler (WR) and waste producer (WP), involved in CW recycling industry based on the game theory. The main factors that affected the strategies of the stakeholders were analyzed and the tripartite evolutionary game model is provided. The evolutionary stability strategy and stability conditions were analyzed subsequently. A numerical simulation illustrated the effectiveness of the proposed method, with which the evolutionary decision making process and stable strategies among the three stakeholders are simulated. It is shown that the GA plays different roles in different stages of the development of CW recycling industry. In the early stage, the supervision and policies of the GA are critical to improve the proportion of enterprises that implement the recycling strategy. With the mature of the CW recycling industry, it is profitable for enterprises to implement waste recycling, and a high proportion of enterprises choose to implement recycling strategy. Under this circumstance, the GA will gradually decrease their interventions to enterprises, and finally evolve into no supervision. Besides, it also concludes that low penalties and subsidies are not conducive to the evolution of the optimal strategy among the three participants, and excessive supervision costs will reduce the regulatory willingness of the GA, hindering the enthusiasm of WRs and WPs to implement the recycling strategy.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Construction waste; Industrial life circle theory; Recycling utilization; Tripartite evolutionary game

Year:  2020        PMID: 32562906     DOI: 10.1016/j.scitotenv.2020.139826

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  Dump or recycle? Consumer's environmental awareness and express package disposal based on an evolutionary game model.

Authors:  Lili Ding; Zhimeng Guo; Yuemei Xue
Journal:  Environ Dev Sustain       Date:  2022-04-25       Impact factor: 4.080

2.  Evolutionary game analysis of opportunistic behavior of Sponge City PPP projects: a perceived value perspective.

Authors:  Hui Zhao; Xin Liu; Yiting Wang
Journal:  Sci Rep       Date:  2022-05-25       Impact factor: 4.996

3.  Multi-Agent Evolutionary Game in the Recycling Utilization of Sulfate-Rich Wastewater.

Authors:  Meng Ding; Hui Zeng
Journal:  Int J Environ Res Public Health       Date:  2022-07-19       Impact factor: 4.614

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.