Brief What if Cities Used Data to Drive Inclusive Neighborhood Change?
Solomon Greene, Kathryn L.S. Pettit
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Policy responses to neighborhood changes that displace or otherwise harm vulnerable populations often come too late and at too great a price. This essay proposes integrating multiple data sources to develop neighborhood-level early warning and response systems that can help city leaders and community advocates get ahead of these changes. Using intelligence generated through these data systems, local leaders could adopt interventions that secure inclusion in dynamic neighborhoods.

Research and Evidence Housing and Communities Research to Action Race and Equity
Expertise Community and Economic Development Housing, Land Use, and Transportation Thriving Cities and Neighborhoods Wealth and Financial Well-Being Upward Mobility and Inequality
Tags Housing markets Racial segregation Housing affordability Wealth inequality Mobility Inequality and mobility Racial barriers to housing Neighborhood change