Theory of Planned Behavior in Energy Agent-Based Models
- Combines psychological theory and outcomes of a participatory workshop to explore diffusion of households’ solar panel investment decisions and their regional impacts in terms of CO2 reductions and monetary gains of heterogeneous households.
- Download the Model Open Access Code (+ODD description)
- Read the article in the Journal of Artificial Societies and Social Simulations
Using this ABM, we discuss the methodological challenges of formalizing various psychological constructs – so necessary to implement behaviorally-rich representation of people’s decisions, for example when modeling climate change mitigation behavior. We systematically explore the variations in coding one of the most common social science theories, Theory of Planned Behaviour, in a computation code of an ABM and discuss ways forward.
The ABM, which we took as a basis for testing differences in architecture, factors, representations and data, was developed to study the diffusion of renewable energy among households . We refer to this base version as MF ABM (after the authors).
MF ABM is designed to study aggregated outcomes of individual household decisions regarding PV installation in a municipality of Dalfsen, one of the pioneering green municipalities in the Netherlands.