Pubblicazioni

Autori:

Ceschi, A; Sartori, R; Dickert, S; Scalco, A; Tur, Em; Tommasi, F; Delfini, K

Titolo:

Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior

Anno:

2021

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Referee:

No

Nome rivista:

JOURNAL OF ENVIRONMENTAL MANAGEMENT

ISSN Rivista:

0301-4797

Intervallo pagine:

294-305

Parole chiave:

Recycling behavior; Nudges; Norm-based policy; Agent based modelling; Theory of planned behavior; Social norms

Breve descrizione dei contenuti:

The present study uses agent-based modeling (ABM) to examine the effectiveness of a nudge policy for improving recycling behavior. In our simulation, agents' recycling behavior is computed by components of the Theory of Planned Behaviour (i.e., attitudes, perceived behavioral control, social norms) and influenced by other agents as well as their surrounding (i.e., amount of waste in the area). The simulation, based on real data from a Taiwan community district, confirms realistic recycling trends and demonstrates the usefulness and reliability of ABM as a method to examine the effectiveness of waste management policies. An additional step in our simulation was to manipulate the amount of waste in the community to test the effect of a nudge policy based on social norms. Results showed that the policy increases recycling activity, but predominantly in low waste scenarios. This suggests that nudges, in the form of norm-based policies, can be an effective solution to enhancing people's recycling behavior under specific circumstances.

Id prodotto:

134213

Handle IRIS:

11562/1095813

ultima modifica:

8 giugno 2023

Citazione bibliografica:

Ceschi, A; Sartori, R; Dickert, S; Scalco, A; Tur, Em; Tommasi, F; Delfini, K, Testing a norm-based policy for waste management: An agent-based modeling simulation on nudging recycling behavior «JOURNAL OF ENVIRONMENTAL MANAGEMENT» , 2021 , pp. 294-305

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