September 12, 2025Intelligent Buildings International

Literature review on urban landscape and behavioural science: examining past research and proposing probabilistic and optimization frameworks for advancing future methodological approaches

View Full Paper

Ask AI

Bookmark

The review identifies critical research gaps in urban landscape and behavioural science methodologies.
Advanced frameworks proposed include probabilistic and optimization methods for better data representation.
The analysis covers 212 influential articles published between 2010 and February 2024, addressing interdisciplinary challenges.
Emphasizing the importance of real-time analytics, the findings advocate for improving urban research's precision.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Literature review integrates advanced techniques in urban landscape and behavioural science, highlighting predictive modeling and methodological gaps.

Cite This Study

Motevalian et al. (2025) studied this question.

synapsesocial.com/papers/68d41ed9713b0b5dfea67e3e https://doi.org/10.1080/17508975.2025.2548547

View Full Paper

Ask AI

Bookmark

Implication

Literature review integrates advanced techniques in urban landscape and behavioural science, highlighting predictive modeling and methodological gaps.

Literature review on urban landscape and behavioural science: examining past research and proposing probabilistic and optimization frameworks for advancing future methodological approaches

Key Points

Discussion

Implication

Cite This Study

Literature review on urban landscape and behavioural science: examining past research and proposing probabilistic and optimization frameworks for advancing future methodological approaches

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider