The impact of 3D urban landscapes on multidimensional human experience: An interpretable machine learning approach

Key Points

• The study shows that 3D urban landscapes significantly affect human experiences in various dimensions, including emotional and sensory responses.
• Key evidence indicates that machine learning models improved prediction accuracy by 30% when interpreting multidimensional human experiences.
• Assessment using interpretable machine learning methods highlighted the importance of environmental design in urban settings.
• Findings may enable better city planning by integrating design elements that enhance positive human experiences.