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Updated: Dec 17, 2025
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Multi-agent evolutionary game in the recycling utilization of construction waste
1School of Civil Engineering and Architecture, Anyang Normal University, Anyang 455000, China.
The Science of the Total Environment
|June 21, 2020
Summary
This study uses game theory to model construction waste (CW) recycling. Government policies are crucial early on, shifting to market profitability as the industry matures, with optimal strategies depending on penalties, subsidies, and supervision costs.
Area of Science:
- Environmental Science
- Game Theory
- Industrial Ecology
Background:
- Construction waste (CW) recycling is vital for resource conservation and waste reduction.
- Understanding stakeholder decision-making is key to effective CW recycling strategies.
Purpose of the Study:
- To investigate the evolutionary decision-making processes and stable strategies of government agencies (GA), waste recyclers (WR), and waste producers (WP) in the CW recycling industry.
- To analyze factors influencing stakeholder strategies and develop a tripartite evolutionary game model.
Main Methods:
- Utilized game theory to model the interactions between GA, WR, and WP.
- Developed a tripartite evolutionary game model to analyze decision-making processes.
- Employed numerical simulation to illustrate the model's effectiveness and simulate evolutionary strategies.
Main Results:
- The government agency's role evolves: critical supervision in early stages, reduced intervention as the industry matures.
- Profitability drives recycling adoption; high recycling rates lead to decreased government supervision.
- Suboptimal penalties, subsidies, and high supervision costs hinder the evolution of optimal strategies.
Conclusions:
- Effective CW recycling requires dynamic government intervention tailored to industry maturity.
- Incentive structures (penalties, subsidies) and supervision costs significantly impact stakeholder participation.
- The study provides insights into achieving stable and efficient CW recycling systems through strategic stakeholder engagement.
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