Mapping the Landscape of Behavioral Theories: Systematic Literature Review. (May 2020)

• Record Type: Journal Article
• Authors: Kwon, Heeseo Rain; Silva, Elisabete A.
• Is Part Of: Journal of planning literature. Volume 35:Number 2(2020:May)
• Page Start: 161
• Page End: 179
• Publication Date: 2020-05
• Subjects: behavioral theories -- behavioral science -- data-driven research -- theory-driven research -- agent-based modeling -- urban and environmental planning -- data science -- complexity theory; City planning -- Bibliography -- Periodicals; Regional planning -- Bibliography -- Periodicals; Planning -- Bibliography -- Periodicals; 711.0973
• DOI: 10.1177/0885412219881135
• Languages: English
• ISSNs: 0885-4122

Abstract

The term "behavioral" has become a hot topic in recent years in various disciplines; however, there is yet limited understanding of what theories can be considered behavioral theories and what fields of research they can be applied to. Through a cross-disciplinary literature review, this article identifies sixty-two behavioral theories from 963 search results, mapping them in a diagram of four groups (factors, strategies, learning and conditioning, and modeling), and points to five discussion points: understanding of terms, classification, guidance on the use of appropriate theories, inclusion in data-driven research and agent-based modeling, and dialogue between theory-driven and data-driven approaches.