Computational Model Library

An agent-based model of cultural change for a low-carbon transition (1.1.0)

An ABM of changes in individuals’ lifestyles which considers their
evolving behavioural choices. Individuals have a set of environmental behavioural traits that spread through a fixed Watts–Strogatz graph via social interactions with their neighbours. These exchanges are mediated by transmission biases informing from whom an individual learns and
how much attention is paid. The influence of individuals on each other is a function of their similarity in environmental identity, where we represent environmental identity computationally by aggregating past agent attitudes towards multiple environmentally related behaviours. To perform a behaviour, agents must both have
a sufficiently positive attitude toward a behaviour and overcome a corresponding threshold. This threshold
structure, where the desire to perform a behaviour does not equal its enactment, allows for a lack of coherence
between attitudes and actual emissions. This leads to a disconnect between what people believe and what
they do, such that the social network as whole desires greener behaviours but only a minority performs them.

Release Notes

Version 1.1 added sensitivity analysis for green influencers

Associated Publications

An agent-based model of cultural change for a low-carbon transition 1.1.0

An ABM of changes in individuals’ lifestyles which considers their
evolving behavioural choices. Individuals have a set of environmental behavioural traits that spread through a fixed Watts–Strogatz graph via social interactions with their neighbours. These exchanges are mediated by transmission biases informing from whom an individual learns and
how much attention is paid. The influence of individuals on each other is a function of their similarity in environmental identity, where we represent environmental identity computationally by aggregating past agent attitudes towards multiple environmentally related behaviours. To perform a behaviour, agents must both have
a sufficiently positive attitude toward a behaviour and overcome a corresponding threshold. This threshold
structure, where the desire to perform a behaviour does not equal its enactment, allows for a lack of coherence
between attitudes and actual emissions. This leads to a disconnect between what people believe and what
they do, such that the social network as whole desires greener behaviours but only a minority performs them.

Release Notes

Version 1.1 added sensitivity analysis for green influencers

Version Submitter First published Last modified Status
1.1.0 Daniel Torren-Peraire Fri Nov 10 12:13:25 2023 Fri Nov 10 12:13:25 2023 Published

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