Visual perception-informed urban design toolkit: Computational urban morphology optimisation to inform real-time perceived safety

Xinyu Tan, Qiwei Song, Xun Liu, Waishan Qiu

Abstract: Highlights•A computational workflow to improve the inclusiveness of urban design outcomes.•Integrate visual perception analytics into the form-based urban design ideation.•Street-view perception evaluation is linked to urban morphology iterations in Rhino.•The role of greenery configuration is explicitly tested with various urban canyons.•Real-time urban canyon visualisation is integrated in Rhino with Stable Diffusion.

External IDs:doi:10.1016/j.jum.2025.09.005