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

Sustainability

Jane E. Gallagher²  Elaine Cohen Hubal¹  Laura Jackson²  Jefferson Inmon²  Edward Hudgens²  Ann H. Williams²  Danelle Lobdell²  John Rogers³ 

[1] National Center for Computational Toxicology, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711 USA; E-Mail:;National Health and Environmental Effects Research Laboratory, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA; E-Mails:;Westat, Rockville, MD 20850, USA

关键词: cities;    socioeconomic;    integration;    sustainability;    environment;    health;    indices;   

DOI  :  10.3390/su5020789

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.