TY - DATA T1 - Data underlying the publication: "Bridging behavioral theory and household energy decisions - enhancing ABMs with behavioral analysis" PY - 2025/01/30 AU - Mariƫlle 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 -
This spreadsheet holds the dataset of a systematic review of 71 ABMs regarding household energy behavior. The aim 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. The spreadsheets holds the structural coding results of the articles under review.
It accompanies the submission of a review article to the special issue of Frontiers Journal:
'The Psychology of Simulated Social Behavior: From Computational Agents to Worldwide Collective Action'.
Title of submitted the article:
Bridging behavioral theory and household energy decisions: enhancing agent-based models with behavioral analysis
ER -