AI FOR COMPACT CITY
AI for Compact Cities: Harnessing geospatial intelligence and machine learning to shape smarter, denser, and more livable urban futures. This platform uses AI to analyze urban form, infrastructure, and amenities at scale across global cities.
Machine learning models uncover patterns in mobility, accessibility, and land use to support evidence-based urban planning.
About Compact City AI
Compact Cities AI is a next-generation urban intelligence platform designed to evaluate and promote sustainable urban development through advanced spatial analytics. By integrating geospatial data, machine learning models, and sentiment analysis, the system provides quantitative assessments of urban compactness across global cities. It measures key indicators such as population density, infrastructure efficiency, green space ratio, transit accessibility, and public sentiment toward urban amenities. With a user-friendly interface and support for multilingual input, including ward-level analysis for megacities like Tokyo, Compact Cities AI empowers planners, researchers, citizens and policymakers with actionable insights to foster walkable, efficient, and resilient urban environments.
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