UrbanSim is an open-source platform that uses generative AI to model urban growth and simulate land use, transportation, and demographic shifts. The platform integrates various datasets, including open-source data on land use, population demographics, and transportation infrastructure, to generate development scenarios that help city planners and researchers make informed decisions about urban growth. UrbanSim aids in visualizing the impacts of policy changes, transportation development, and housing strategies, offering a dynamic tool for sustainable urban planning. The project emphasizes the use of open research data from official sources to simulate realistic and adaptive urban environments.
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.