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WorldMove

A global open data for human mobility

Open access worldwide human mobility dataset built using OpenStreetMap, WorldPop, and WorldOD

WorldMove accurately reflects real-world mobility patterns across individual trajectories and population flows, ensuring authenticity and reliability for urban mobility research.

What is WorldMove?

WorldMove is an open access worldwide human mobility dataset, we follow a generative AI-based approach to create a large-scale mobility dataset for cities worldwide. Our method leverages publicly available multi-source data, including population distribution, points of interest (POIs), and synthetic commuting origin-destination flow datasets, to generate realistic city-scale mobility trajectories.

Select a highlighted city on the map to get data visualization and download link

Please select a city on the map to get data

Related Researches

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Use diffusion model with collaborative noise priors to generate urban mobility data.

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Learning the complexity of urban mobility with deep generative collaboration network.