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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior.
Andrea Ceschi1, Riccardo Sartori1, Stephan Dickert2
1University of Verona, Human Sciences Department, Verona, IT, Italy.
Journal of Environmental Management
|July 2, 2021
Summary
This study used agent-based modeling to test nudge policies for recycling. Norm-based nudges improved recycling, especially in areas with less waste, showing targeted interventions can boost sustainable behaviors.
Area of Science:
- Environmental Science
- Behavioral Science
- Computational Social Science
Background:
- Recycling behavior is crucial for waste management.
- Understanding factors influencing recycling is essential for policy development.
- Agent-based modeling offers a novel approach to simulate complex social behaviors.
Purpose of the Study:
- To evaluate the effectiveness of a nudge policy for improving recycling behavior using agent-based modeling.
- To investigate how social norms and waste levels influence recycling decisions.
- To demonstrate the utility of agent-based modeling in assessing waste management strategies.
Main Methods:
- Agent-based modeling (ABM) was employed to simulate recycling behavior.
- The simulation incorporated components of the Theory of Planned Behaviour (attitudes, perceived behavioral control, social norms).
- Real data from a Taiwan community district was used, and waste levels were manipulated to test nudge policies.
Main Results:
- The simulation successfully replicated realistic recycling trends.
- Agent-based modeling proved useful and reliable for evaluating waste management policies.
- A norm-based nudge policy increased recycling activity, particularly in low-waste scenarios.
Conclusions:
- Agent-based modeling is a valuable tool for studying waste management policies.
- Norm-based nudge policies can effectively enhance recycling behavior.
- The effectiveness of nudge policies is context-dependent, showing greater impact under specific conditions like low waste.
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