Multimodal Large Language Models Predict Urban Safety Perception but Encode Non-Neutral Demographic Priors
Understanding how people perceive urban environments is essential for inclusive planning, yet conventional surveys are costly and difficult to scale. We investigate whether Multimodal Large Language Models (MLLMs) can assess perceived urban safety from street-view imagery while accounting for the observer-dependent nat...
Ciro Beneduce, Bruno Lepri, Massimiliano Luca
· 9 citations