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Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States

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  • Leah H. Schinasi

    (Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
    Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

  • Helen V. S. Cole

    (Medical Research Institute of the Hospital del Mar (IMIM), 08003 Barcelona, Spain
    Institute for Environmental Science and Technology, Universidad Autónoma de Barcelona, 08193 Bellaterra, Spain)

  • Jana A. Hirsch

    (Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
    Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

  • Ghassan B. Hamra

    (Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Pedro Gullon

    (Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcala, Alcala de Henares, 28801 Madrid, Spain)

  • Felicia Bayer

    (Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

  • Steven J. Melly

    (Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

  • Kathryn M. Neckerman

    (Columbia Population Research Center, Columbia University, New York, NY 10027, USA)

  • Jane E. Clougherty

    (Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
    Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

  • Gina S. Lovasi

    (Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA
    Department of Epidemiology & Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA)

Abstract

Neighborhood greenspace may attract new residents and lead to sociodemographic or housing cost changes. We estimated relationships between greenspace and gentrification-related changes in the 43 largest metropolitan statistical areas (MSAs) of the United States (US). We used the US National Land Cover and Brown University Longitudinal Tracts databases, as well as spatial lag models, to estimate census tract-level associations between percentage greenspace (years 1990, 2000) and subsequent changes (1990–2000, 2000–2010) in percentage college-educated, percentage working professional jobs, race/ethnic composition, household income, percentage living in poverty, household rent, and home value. We also investigated effect modification by racial/ethnic composition. We ran models for each MSA and time period and used random-effects meta-analyses to derive summary estimates for each period. Estimates were modest in magnitude and heterogeneous across MSAs. After adjusting for census-tract level population density in 1990, compared to tracts with low percentage greenspace in 1992 (defined as ≤50th percentile of the MSA-specific distribution in 1992), those with high percentage greenspace (defined as >75th percentile of the MSA-specific distribution) experienced higher 1990–2000 increases in percentage of the employed civilian aged 16+ population working professional jobs (β: 0.18, 95% confidence interval (CI): 0.11, 0.26) and in median household income (β: 0.23, 95% CI: 0.15, 0.31). Adjusted estimates for the 2000–2010 period were near the null. We did not observe evidence of effect modification by race/ethnic composition. We observed evidence of modest associations between greenspace and gentrification trends. Further research is needed to explore reasons for heterogeneity and to quantify health implications.

Suggested Citation

  • Leah H. Schinasi & Helen V. S. Cole & Jana A. Hirsch & Ghassan B. Hamra & Pedro Gullon & Felicia Bayer & Steven J. Melly & Kathryn M. Neckerman & Jane E. Clougherty & Gina S. Lovasi, 2021. "Associations between Greenspace and Gentrification-Related Sociodemographic and Housing Cost Changes in Major Metropolitan Areas across the United States," IJERPH, MDPI, vol. 18(6), pages 1-24, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:3315-:d:522669
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    References listed on IDEAS

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    1. Viniece Jennings & April Karen Baptiste & Na’Taki Osborne Jelks & Renée Skeete, 2017. "Urban Green Space and the Pursuit of Health Equity in Parts of the United States," IJERPH, MDPI, vol. 14(11), pages 1-17, November.
    2. Isabelle Anguelovski & Clara Irazábal‐Zurita & James J.T. Connolly, 2019. "Grabbed Urban Landscapes: Socio‐spatial Tensions in Green Infrastructure Planning in Medellín," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 43(1), pages 133-156, January.
    3. Ding, Lei & Hwang, Jackelyn & Divringi, Eileen, 2016. "Gentrification and residential mobility in Philadelphia," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 38-51.
    4. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    5. Mahasin S. Mujahid & Elizabeth Kelley Sohn & Jacob Izenberg & Xing Gao & Melody E. Tulier & Matthew M. Lee & Irene H. Yen, 2019. "Gentrification and Displacement in the San Francisco Bay Area: A Comparison of Measurement Approaches," IJERPH, MDPI, vol. 16(12), pages 1-13, June.
    6. Roger S. Bivand & David W. S. Wong, 2018. "Comparing implementations of global and local indicators of spatial association," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 716-748, September.
    7. Viechtbauer, Wolfgang, 2010. "Conducting Meta-Analyses in R with the metafor Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i03).
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