Transcription of Mining Administrative Data to Spur Urban Revitalization
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Mining Administrative Data to Spur Urban Revitalization
Mining Administrative Data to Spur Urban Revitalization Ben GreenHarvard UniversityCambridge, CaroCarnegie Mellon UniversityPittsburgh, Conway University of ChicagoChicago, ManducaHarvard UniversityCambridge, PlaggeUniversity of ChicagoChicago, MillerInnovation Delivery TeamMemphis, decades of Urban investment dominated by sprawland outward growth, municipal governments in the UnitedStates are responsible for the upkeep of Urban neighborhoodsthat have not received sufficient resources or maintenance inmany years. One of city governments biggest challenges isto revitalize decaying neighborhoods given only limited re-sources. In this paper, we apply data science techniquesto Administrative data to help the City of memphis , Ten-nessee improve distressed neighborhoods. We develop newmethods to efficiently identify homes in need of rehabili-tation and to predict the impacts of potential investmentson neighborhoods.
Figure 1: The land area of Memphis has grown more than 350% since 1950 due to annexations. The City of Memphis, TN is a case study for many of these issues. Over the past several decades, Memphis has pursued a growth strategy of annexing land for suburban-style green eld development. From 1950{2010, the City’s geographic area increased 350% ...
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