TY - DATA
T1 - Data underlying the publication: &#34;Bridging behavioral theory and household energy decisions - enhancing ABMs with behavioral analysis&#34; 
PY - 2025/01/30
AU - Mariëlle Rietkerk
AU - Lynn de Jager
AU - Geeske Scholz
AU - Emile J.L. Chappin
AU - Gerdien De Vries
UR - 
DO - 10.4121/42afa47f-d7f6-4860-bbfe-592a7682c3fa.v1
KW - Household decision
KW - Energy Transition
KW - Behavioral insights
KW - ABM
KW - policymaking
KW - agent-based model
N2 - <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>
ER -