Li-Zhong Chen

Exploring Built Environment Perception Pathways and Perception Profiles Using Vision–Language Models

Computer vision models applied to street-view imagery (SVI) can generate large-scale measures of perceived built-environment qualities relevant to urban planning and public health. Unlike convolutional neural networks (CNNs), vision–language models (VLMs) can provide both perception ratings and rationales. Using 121,76...