Disaggregation of Green Space Access, Walkability, and Behavioral Risk Factor Data for Precise Estimation of Local Population Characteristics Article Swipe
Saurav Guha
,
Michael Alonzo
,
Pierre Goovaerts
,
LuAnn L. Brink
,
Sumanta Ray
,
Todd Bear
,
Saumyadipta Pyne
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph21060771
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/ijerph21060771
Background: Social and Environmental Determinants of Health (SEDH) provide us with a conceptual framework to gain insights into possible associations among different human behaviors and the corresponding health outcomes that take place often in and around complex built environments. Developing better built environments requires an understanding of those aspects of a community that are most likely to have a measurable impact on the target SEDH. Yet data on local characteristics at suitable spatial scales are often unavailable. We aim to address this issue by application of different data disaggregation methods. Methods: We applied different approaches to data disaggregation to obtain small area estimates of key behavioral risk factors, as well as geospatial measures of green space access and walkability for each zip code of Allegheny County in southwestern Pennsylvania. Results: Tables and maps of local characteristics revealed their overall spatial distribution along with disparities therein across the county. While the top ranked zip codes by behavioral estimates generally have higher than the county’s median individual income, this does not lead them to have higher than its median green space access or walkability. Conclusion: We demonstrated the utility of data disaggregation for addressing complex questions involving community-specific behavioral attributes and built environments with precision and rigor, which is especially useful for a diverse population. Thus, different types of data, when comparable at a common local scale, can provide key integrative insights for researchers and policymakers.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijerph21060771
- https://www.mdpi.com/1660-4601/21/6/771/pdf?version=1718603767
- OA Status
- gold
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399672761
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399672761Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ijerph21060771Digital Object Identifier
- Title
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Disaggregation of Green Space Access, Walkability, and Behavioral Risk Factor Data for Precise Estimation of Local Population CharacteristicsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-06-14Full publication date if available
- Authors
-
Saurav Guha, Michael Alonzo, Pierre Goovaerts, LuAnn L. Brink, Sumanta Ray, Todd Bear, Saumyadipta PyneList of authors in order
- Landing page
-
https://doi.org/10.3390/ijerph21060771Publisher landing page
- PDF URL
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https://www.mdpi.com/1660-4601/21/6/771/pdf?version=1718603767Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/1660-4601/21/6/771/pdf?version=1718603767Direct OA link when available
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Walkability, Geospatial analysis, Built environment, Computer science, Scale (ratio), Key (lock), Population, Estimation, Geography, Data science, Environmental health, Cartography, Computer security, Ecology, Engineering, Medicine, Systems engineering, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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