Chicago

The 'Chicago' dataset is part of a large-scale travel survey that includes individual-level data from over 200,000 residents across multiple cities, used to evaluate patterns of social mixing and mobility in urban environments.

Papers using Chicago (3)

A graph-based multimodal framework to predict gentrification2023 · 1 citesUQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction2025Latent patterns of urban mixing in mobility analysis across five global cities2026