Sustainability, Health and Environmental Metrics: Impact on Ranking and Associations with Socioeconomic Measures for 50 U.S. Cities
| Autor: | Timothy J. Wade, Jane E. Gallagher, Danelle T. Lobdell, Ann H. Williams, Laura E. Jackson, Elaine A. Cohen Hubal, John M. Rogers, Edward Hudgens, Jefferson Inmon |
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| Rok vydání: | 2013 |
| Předmět: |
medicine.medical_specialty
Index (economics) Geography Planning and Development cities socioeconomic integration sustainability environment health indices TJ807-830 Management Monitoring Policy and Law TD194-195 Renewable energy sources Materials management Race (biology) medicine Regional science GE1-350 Socioeconomic status Environmental effects of industries and plants Renewable Energy Sustainability and the Environment business.industry Public health Environmental resource management Land-use planning Environmental sciences Geography Ranking Sustainability business |
| Zdroj: | Sustainability, Vol 5, Iss 2, Pp 789-804 (2013) Sustainability; Volume 5; Issue 2; Pages: 789-804 |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su5020789 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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