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. For detailed information about data formats and content, please refer to the Data Description.
WorldMove Data and Research
Environmental Health
WorldMove enables large-scale analysis of human mobility exposure to environmental factors such as air pollution and urban greenness, offering new opportunities for research in environmental health.
Urban Planning
WorldMove supports fine-grained urban planning, including road and metro network design, infrastructure optimization, and urban renewal, by providing realistic mobility patterns that accurately reflect human movement and spatial demand.
Public Health
WorldMove offers powerful support for public health by enabling fine-grained modeling of infectious disease transmission and targeted intervention planning based on realistic human mobility patterns.
Sustainable Transport
WorldMove empowers sustainable transport planning by providing realistic mobility data to support travel demand analysis, optimize public transit routes, and promote low-carbon, accessible transportation systems.