Computational Model Library

A model of environmental awareness spread and its effect in resource consumption reduction (1.2.0)

The model simulates the effects of social interaction on collective behavior regarding the reduction of the consumption of a resource. The underlying hypothesis is that key societal and psychological mechanisms that lead to environmentally sustainable lifestyles can be enabled and amplified by ICT tools. Specifically SAM4SN (Spread of Awareness Model for Social Norms) describe the role of social norms, i.e “rules governing an individual’s behavior that third parties diffusely enforce by means of social sanctions” that encourage sustainable behavior on the part of user and consumers. As enabling technology for a social norm SAM4SN identifies the advanced in-home smart metering services as key elements of a digital ecosystem. The proposed Agent-Based Model (ABM) allows the exploration of these concepts aimed at understanding the role of environmental awareness in the consumption of a scarce resource. The ABM simulates how environmental awareness spreads in a community, the impact of such individual awareness on individual consumption of a resource like energy (or water), the role of social influence in the dynamics of awareness diffusion, the role of ICT-based tools of smart metering to trigger a social norm toward sustainability. The user interface allows the user to set an initial scenario where there is a target of reduction. By running SAM4Sn in several different configurations the user can study how and when this target for environmental sustainability is reached.

SAM4SN.jpg

Release Notes

I added a new associated pubblication

Associated Publications

Giovanna Sissa (2017). An awareness based approach to sustainability: Agent-Based Modeling for decision making in energy policies. Giovanna Sissa, Paola Girdinio, Pietro Terna. Journal on Policy and Complex Systems, Volume 3, Number 1 - Spring 2017
https://viewer.joomag.com/journal-on-policy-complex-systems-volume-3-issue-1-spring-2017/0301378001487265049?page=29

Giovanna Sissa (2014). FROM MICRO BEHAVIORS TO MACRO EFFECTS - AGENT BASED MODELING OF ENVIRONMENTAL AWARENESS SPREAD AND ITS EFFECTS ON THE CONSUMPTION OF A LIMITED RESOURCE. PhD Thesis. Università degli studi di Milano. DIPARTIMENTO DI INFORMATICA
http://hdl.handle.net/2434/233328
https://air.unimi.it/retrieve/handle/2434/233328/307360/phd_unimi_R09069.pdf

G. Sissa, E. Damiani (2015). An Agent-Based Model for Awareness-Based Sustainability. In X. Liu; Y. Li(Eds), Green Services Engineering, Optimization, and Modeling in the Technological Age. pp. (149-166). IGI Global, ISBN: 9781466684478, doi: 10.4018/978-1-4666-8447-8.ch006

A model of environmental awareness spread and its effect in resource consumption reduction 1.2.0

The model simulates the effects of social interaction on collective behavior regarding the reduction of the consumption of a resource. The underlying hypothesis is that key societal and psychological mechanisms that lead to environmentally sustainable lifestyles can be enabled and amplified by ICT tools. Specifically SAM4SN (Spread of Awareness Model for Social Norms) describe the role of social norms, i.e “rules governing an individual’s behavior that third parties diffusely enforce by means of social sanctions” that encourage sustainable behavior on the part of user and consumers. As enabling technology for a social norm SAM4SN identifies the advanced in-home smart metering services as key elements of a digital ecosystem. The proposed Agent-Based Model (ABM) allows the exploration of these concepts aimed at understanding the role of environmental awareness in the consumption of a scarce resource. The ABM simulates how environmental awareness spreads in a community, the impact of such individual awareness on individual consumption of a resource like energy (or water), the role of social influence in the dynamics of awareness diffusion, the role of ICT-based tools of smart metering to trigger a social norm toward sustainability. The user interface allows the user to set an initial scenario where there is a target of reduction. By running SAM4Sn in several different configurations the user can study how and when this target for environmental sustainability is reached.

Release Notes

I added a new associated pubblication

Version Submitter First published Last modified Status
1.2.0 Giovanna Sissa Mon Aug 17 16:07:15 2015 Sun Jun 5 17:12:05 2022 Published
1.1.0 Giovanna Sissa Fri Jul 3 10:01:50 2015 Tue Feb 20 13:14:32 2018 Published
1.0.0 Giovanna Sissa Sun Jun 21 11:41:38 2015 Thu Dec 5 06:36:01 2024 Published Peer Reviewed DOI: 10.25937/bmtv-1h82

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