September 5, 2025BuildingsOpen Access

Exploring Urban Spatial Quality Through Street View Imagery and Human Perception Analysis

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Authors

YLYuming LiEnergy Research Institute JLJialin LuChina Agricultural University YMYuan MengChang'an University

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Implication

This analysis reveals how street view imagery and machine learning link urban features with human emotions, suggesting vital insights for urban design.

Key Points

Natural elements significantly enhance perceived comfort, aesthetics, and overall quality of urban spaces.
High-density built environments can suppress perceived safety and liveliness across urban areas studied.
The study identifies three urban typologies—traditional, transitional, and modern—with unique perceptual indicators.
Findings offer scalable insights for improving urban design practices in densely populated areas worldwide.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68c239e5b210217d6477dca4 https://doi.org/10.3390/buildings15173116

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Implication

This analysis reveals how street view imagery and machine learning link urban features with human emotions, suggesting vital insights for urban design.

Exploring Urban Spatial Quality Through Street View Imagery and Human Perception Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Exploring Urban Spatial Quality Through Street View Imagery and Human Perception Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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