Citations (11)
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Read on this site (5)
AJ Golio. (2023) What makes gentrification ‘white’? Theorizing the mutual construction of whiteness and gentrification in the urban U.S.. Journal of Race, Ethnicity and the City 0:0, pages 1-25.
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Jongho Won. (2022) Exploring the Heterogeneous Effects of Ecological and Structural Factors on Intensifying Neighborhood Economic Polarization. Housing Policy Debate 32:2, pages 386-409.
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Hee-Jung Jun. (2019) Exploring residential experiences of female immigrants in Korea. International Review of Public Administration 24:2, pages 117-137.
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John R. Hipp & Nicholas Branic. (2017) Fast and slow change in neighbourhoods: characterization and consequences in Southern California. International Journal of Urban Sciences 21:3, pages 257-281.
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Hee-Jung Jun. (2017) The spatial dynamics of neighborhood change: exploring spatial dependence in neighborhood housing value change. Housing Studies 32:6, pages 717-741.
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Articles from other publishers (6)
David S. Curtis, Kyle Kole, Barbara B. Brown, Ken R. Smith, Huong D. Meeks & Lori Kowaleski-Jones. (2024) Social inequities in neighborhood health amenities over time in the Wasatch Front Region of Utah: Historical inequities, population selection, or differential investment?. Cities 145, pages 104687.
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Jared N. Schachner. (2021) Neighborhood Economic Change in an Era of Metropolitan Divergence. Urban Affairs Review 58:4, pages 923-959.
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Hee-Jung Jun & Suyoung Jung. (2021) Determinants of Neighborhood Economic Change and Spatial Dependence : An Analysis of Housing Price Change at the Neighborhood Level. Journal of Korea Planning Association 56:5, pages 19-29.
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Ann Owens & Jennifer Candipan. (2018) Racial/Ethnic Transition and Hierarchy Among Ascending Neighborhoods. Urban Affairs Review 55:6, pages 1550-1578.
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Nora E. Taplin–Kaguru. (2020) Mobile but Stuck: Multigenerational Neighborhood Decline and Housing Search Strategies for African Americans. City & Community 17:3, pages 835-857.
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John R. Hipp, Kevin Kane & Jae Hong Kim. (2017) Recipes for neighborhood development: A machine learning approach toward understanding the impact of mixing in neighborhoods. Landscape and Urban Planning 164, pages 1-12.
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