Urban Spatial

Recently, the Urban Institute called for the creation of "neighborhood-level early warning and response systems that can help city leaders and community advocates get ahead of (neighborhood) changes." Open data and open-source analytics allows community stakeholders to mine data for actionable intelligence like never before. The objective of this research is to take a first step in exploring the feasibility of forecasting neighborhood change using longitudinal census data in 29 Legacy Cities (Figure 2). The first section provides some motivation for the analysis. Section 3 provides results and the final section concludes with a discussion of community-oriented neighborhood change forecasting systems. Neighborhoods change because people and capital are mobile and when new neighborhood demand emerges, incumbent residents rightfully worry about displacement.