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<CreaDate>20180724</CreaDate>
<CreaTime>14220200</CreaTime>
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<idAbs>The Urban Displacement Project is a research and action initiative of UC Berkeley in collaboration with researchers at UCLA and Portland State University with input and funding from community based organizations, regional planning agencies, foundations, and the State of California’s Air Resources Board (ARB). The project aims to understand the nature of gentrification and displacement in American cities, with a current focus on the San Francisco Bay Area, Southern California and Portland. The goal of the project is to create tools to help communities identify the pressures surrounding them and take more effective action. The UCLA team developed a neighborhood database for the Los Angeles County region to include a series of data on demographic, socio-economic and housing characteristics in both transit and non-transit neighborhoods by Census Tract over time. Additionally, it also examined neighborhood upscaling which can occur in both disadvantaged and advantaged neighborhoods in terms of income, human capital, and housing cost. </idAbs>
<searchKeys>
<keyword>DRP</keyword>
<keyword>Urban Displacement Project</keyword>
<keyword>Gentrification</keyword>
<keyword>Los Angeles County</keyword>
</searchKeys>
<idPurp>Overlay of UCLA's Urban Displacement Project data with County layers, to highlight gentrification isses in unincorporated Los Angeles County.</idPurp>
<idCredit>Zuk, M., &amp; Chapple, K. (2015). Urban Displacement Project.</idCredit>
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<idCitation>
<resTitle>Gentrification</resTitle>
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</Data>
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