Theory of Planned Behavior in Energy Agent-Based Models

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.

TPB-based architecture of an individual decision-making process on energy technology adoption in MF ABM

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.