Carlo Ratti

Estimating vehicular emissions by applying deep learning on video camera scenes

Despite advances in electrification, urban traffic remains a substantial source of air pollution and poses a major threat to public health. Addressing the spatial and temporal heterogeneity of vehicular emissions requires scalable methodologies. Here, we present a deep learning-b...

Built for walking: Cross-city and cross-scale built environment associations with walking from massive, fine-grained mobile trajectory data

Promoting walking is increasingly important for environmental sustainability and public health. This effort requires a nuanced understanding of the relationship between the built environment and walking behavior. Previous studies primarily rely on traditional datasets with limite...