%0 Generic
%A Rietkerk, Mariëlle
%A de Jager, Lynn
%A Scholz, Geeske
%A Chappin, Emile J.L.
%A De Vries, Gerdien
%D 2025
%T Data underlying the publication: "Bridging behavioral theory and household energy decisions - enhancing ABMs with behavioral analysis" 
%U 
%R 10.4121/42afa47f-d7f6-4860-bbfe-592a7682c3fa.v1
%K Household decision
%K Energy Transition
%K Behavioral insights
%K ABM
%K policymaking
%K agent-based model
%X <p>This spreadsheet holds the dataset of a <strong>systematic review</strong> of 71 ABMs regarding household energy behavior.&nbsp;The <strong>aim</strong> of this research is to investigate if the method of behavioral analysis (BA) is applied for ABMs that regard household energy decisions, and if this BA-practice improves the fit of behavioral determinants with simulated energy behavior.&nbsp;The spreadsheets holds the <strong>structural coding results</strong> of the articles under review.</p><p><br></p><p>It accompanies the submission of a review article to the special issue of Frontiers Journal:&nbsp;</p><p>'The Psychology of Simulated Social Behavior: From Computational Agents to Worldwide Collective Action'.&nbsp;</p><p><br></p><p>Title of submitted the article:&nbsp;</p><p>Bridging behavioral theory and household energy decisions: enhancing agent-based models with behavioral analysis</p>
%I 4TU.ResearchData