factually
Index/Topics/Data-driven regionalization in urban planning

Data-driven regionalization in urban planning

The use of data analytics in urban planning to guide infrastructure, land-use, and resilience investments

Fact-Checks

2 results
Jan 16, 2026

What governance models best prevent bias and inequity in AI-driven urban planning?

AI in urban planning can amplify efficiency but also entrench spatial and social biases unless governed deliberately; the literature converges on models that combine participatory governance, robust d...

Jan 16, 2026

How have data‑driven regionalization outputs affected policy decisions in cities that adopted them?

Data-driven regionalization outputs have reshaped municipal policy by offering fine-grained diagnostics that guide infrastructure, land-use, and resilience investments while simultaneously introducing...