Characterizing clusters of gentrification in metro Atlanta, 2000 to 2016. (December 2021)
- Record Type:
- Journal Article
- Title:
- Characterizing clusters of gentrification in metro Atlanta, 2000 to 2016. (December 2021)
- Main Title:
- Characterizing clusters of gentrification in metro Atlanta, 2000 to 2016
- Authors:
- Corrigan, Anne E.
Curriero, Frank C.
Linton, Sabriya L. - Abstract:
- Abstract: Gentrification can drive residential displacement and exacerbate social inequities; however, no consensus about such impacts exists because gentrification definitions vary, and methods lack spatial statistics. Here, gentrification scores were calculated for census tracts in the Atlanta metropolitan area, 2000–2016. Spatial autocorrelation of gentrification was assessed, and spatial cluster detection identified hotspots and coldspots of gentrification. Sub-analyses evaluated the impact of time period (before/after 2010) and conceptualization of gentrification (purely economic changes or a combination of changes in economic, racial, and age composition) on the size and location of clusters. Extreme gentrification occurred around downtown Atlanta, while southern and eastern reaches experienced economic decline and decreases in older and non-Hispanic White residents. Leveraging spatial statistical analysis and examining gentrification hotspots across metrics, this study establishes critical understanding of historic gentrification in Atlanta and lays the groundwork to further examine gentrification's impact on the wellbeing of residents and communities to inform urban planning decisions to advance equity. Highlights: Spatial cluster detection analysis was used to identify gentrification in Atlanta. Atlanta gentrification showed extreme spatial autocorrelation. One hotspot of gentrification and two coldspots of gentrification were identified. Size of the hotspot variedAbstract: Gentrification can drive residential displacement and exacerbate social inequities; however, no consensus about such impacts exists because gentrification definitions vary, and methods lack spatial statistics. Here, gentrification scores were calculated for census tracts in the Atlanta metropolitan area, 2000–2016. Spatial autocorrelation of gentrification was assessed, and spatial cluster detection identified hotspots and coldspots of gentrification. Sub-analyses evaluated the impact of time period (before/after 2010) and conceptualization of gentrification (purely economic changes or a combination of changes in economic, racial, and age composition) on the size and location of clusters. Extreme gentrification occurred around downtown Atlanta, while southern and eastern reaches experienced economic decline and decreases in older and non-Hispanic White residents. Leveraging spatial statistical analysis and examining gentrification hotspots across metrics, this study establishes critical understanding of historic gentrification in Atlanta and lays the groundwork to further examine gentrification's impact on the wellbeing of residents and communities to inform urban planning decisions to advance equity. Highlights: Spatial cluster detection analysis was used to identify gentrification in Atlanta. Atlanta gentrification showed extreme spatial autocorrelation. One hotspot of gentrification and two coldspots of gentrification were identified. Size of the hotspot varied by time period and inclusion of race/ethnicity and age. Coldspots' size and location varied by time period and inclusion of race and age. … (more)
- Is Part Of:
- Applied geography. Volume 137(2021)
- Journal:
- Applied geography
- Issue:
- Volume 137(2021)
- Issue Display:
- Volume 137, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 137
- Issue:
- 2021
- Issue Sort Value:
- 2021-0137-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Gentrification -- Urban change -- Cluster detection -- Spatial autocorrelation
Geography -- Periodicals
Human geography -- Periodicals
Human ecology -- Periodicals
910 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.apgeog.2021.102597 ↗
- Languages:
- English
- ISSNs:
- 0143-6228
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.590000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20015.xml