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Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 U.S. Cities

Author

Listed:
  • Jane E. Gallagher

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Elaine Cohen Hubal

    (National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Laura Jackson

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Jefferson Inmon

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Edward Hudgens

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Ann H. Williams

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • Danelle Lobdell

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

  • John Rogers

    (Westat, Rockville, MD, USA)

  • Timothy Wade

    (National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA)

Abstract

Waste and materials management, land use planning, transportation and infrastructure including water and energy can have indirect or direct beneficial impacts on the environment and public health. The potential for impact, however, is rarely viewed in an integrated fashion. To facilitate such an integrated view in support of community-based policy decision making, we catalogued and evaluated associations between common, publically available, Environmental (e), Health (h), and Sustainability (s) metrics and sociodemographic measurements (n = 10) for 50 populous U.S. cities. E, H, S indices combined from two sources were derived from component (e) (h) (s) metrics for each city. A composite EHS Index was derived to reflect the integration across the E, H, and S indices. Rank order of high performing cities was highly dependent on the E, H and S indices considered. When viewed together with sociodemographic measurements, our analyses further the understanding of the interplay between these broad categories and reveal significant sociodemographic disparities (e.g., race, education, income) associated with low performing cities. Our analyses demonstrate how publically available environmental, health, sustainability and socioeconomic data sets can be used to better understand interconnections between these diverse domains for more holistic community assessments.

Suggested Citation

  • Jane E. Gallagher & Elaine Cohen Hubal & Laura Jackson & Jefferson Inmon & Edward Hudgens & Ann H. Williams & Danelle Lobdell & John Rogers & Timothy Wade, 2013. "Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 U.S. Cities," Sustainability, MDPI, vol. 5(2), pages 1-16, February.
  • Handle: RePEc:gam:jsusta:v:5:y:2013:i:2:p:789-804:d:23758
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    References listed on IDEAS

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    1. Ludwig, Jens & Duncan, Greg J. & Katz, Lawrence F. & Kessler, Ronald & Kling, Jeffrey R. & Gennetian, Lisa A. & Sanbonmatsu, Lisa, 2012. "Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults," Scholarly Articles 11870359, Harvard University Department of Economics.
    2. Abel, T.D. & White, J., 2011. "Skewed riskscapes and gentrified inequities: Environmental exposure disparities in Seattle, Washington," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 246-254.
    3. Lobdell, D.T. & Jagai, J.S. & Rappazzo, K. & Messer, L.C., 2011. "Data sources for an environmental quality index: Availability, quality, and utility," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 277-285.
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    Cited by:

    1. Huimin Ji & Yunlong Peng & Wowo Ding, 2019. "A Quantitative Study of Geometric Characteristics of Urban Space Based on the Correlation with Microclimate," Sustainability, MDPI, vol. 11(18), pages 1-13, September.
    2. Domingo Nevado-Peña & Víctor-Raúl López-Ruiz & José-Luis Alfaro-Navarro, 2015. "The Effects of Environmental and Social Dimensions of Sustainability in Response to the Economic Crisis of European Cities," Sustainability, MDPI, vol. 7(7), pages 1-15, June.
    3. Michael B. Nye & Kate K. Mulvaney, 2016. "Who is Next? Identifying Communities with the Potential for Increased Implementation of Sustainability Policies and Programs," Sustainability, MDPI, vol. 8(2), pages 1-18, February.
    4. Xiaobin Yang & Zhilong Chen & Hao Cai & Linjian Ma, 2014. "A Framework for Assessment of the Influence of China’s Urban Underground Space Developments on the Urban Microclimate," Sustainability, MDPI, vol. 6(12), pages 1-31, November.
    5. Rafael Molinaro & Mohammad K. Najjar & Ahmed W. A. Hammad & Assed Haddad & Elaine Vazquez, 2020. "Urban Development Index (UDI): A Comparison between the City of Rio de Janeiro and Four Other Global Cities," Sustainability, MDPI, vol. 12(3), pages 1-25, January.

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