File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Delineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment

TitleDelineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment
Authors
Keywordsenvironmental exposure
urban/rural metrics
urban−rural classification
urban−rural disparities
Issue Date2024
Citation
Environmental Science and Technology, 2024, v. 58, n. 43, p. 19178-19188 How to Cite?
AbstractEnvironmental exposures and their health impacts can vary substantially between urban and rural areas. However, different methods for classifying these areas could lead to inconsistencies in environmental exposure and health studies, which are often overlooked. We constructed different urban/rural classification systems based on multiple population-based (e.g., total population, population density, and commuting) and built-environment-based (e.g., nighttime light intensity, building density, road density, distance to urban centers, point of interest density, and urban area coverage) indicators and various classification schemes. These classification systems were applied to Virginia and West Virginia, United States. We compared differences in urban/rural spatial patterns, demographic compositions, and exposures of particulate matter (PM2.5), greenspace, and land surface temperature using these urban/rural classification systems to understand their impacts on environmental exposure and health research. Our findings reveal clear differences in spatial patterns and demographic compositions across various systems. We also observed that different systems can lead to changes in the magnitude and direction of urban/rural disparities in environmental exposure assessment. Addressing the complexities in delineating urbanicity and rurality may include careful consideration of classification systems to reflect those aspects of urbanicity and rurality that are relevant to the research question or the use of multiple, complementary systems.
Persistent Identifierhttp://hdl.handle.net/10722/360893
ISSN
2023 Impact Factor: 10.8
2023 SCImago Journal Rankings: 3.516

 

DC FieldValueLanguage
dc.contributor.authorSong, Yimeng-
dc.contributor.authorDeziel, Nicole C.-
dc.contributor.authorBell, Michelle L.-
dc.date.accessioned2025-09-16T04:13:15Z-
dc.date.available2025-09-16T04:13:15Z-
dc.date.issued2024-
dc.identifier.citationEnvironmental Science and Technology, 2024, v. 58, n. 43, p. 19178-19188-
dc.identifier.issn0013-936X-
dc.identifier.urihttp://hdl.handle.net/10722/360893-
dc.description.abstractEnvironmental exposures and their health impacts can vary substantially between urban and rural areas. However, different methods for classifying these areas could lead to inconsistencies in environmental exposure and health studies, which are often overlooked. We constructed different urban/rural classification systems based on multiple population-based (e.g., total population, population density, and commuting) and built-environment-based (e.g., nighttime light intensity, building density, road density, distance to urban centers, point of interest density, and urban area coverage) indicators and various classification schemes. These classification systems were applied to Virginia and West Virginia, United States. We compared differences in urban/rural spatial patterns, demographic compositions, and exposures of particulate matter (PM<inf>2.5</inf>), greenspace, and land surface temperature using these urban/rural classification systems to understand their impacts on environmental exposure and health research. Our findings reveal clear differences in spatial patterns and demographic compositions across various systems. We also observed that different systems can lead to changes in the magnitude and direction of urban/rural disparities in environmental exposure assessment. Addressing the complexities in delineating urbanicity and rurality may include careful consideration of classification systems to reflect those aspects of urbanicity and rurality that are relevant to the research question or the use of multiple, complementary systems.-
dc.languageeng-
dc.relation.ispartofEnvironmental Science and Technology-
dc.subjectenvironmental exposure-
dc.subjecturban/rural metrics-
dc.subjecturban−rural classification-
dc.subjecturban−rural disparities-
dc.titleDelineating Urbanicity and Rurality: Impact on Environmental Exposure Assessment-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1021/acs.est.4c06942-
dc.identifier.pmid39412270-
dc.identifier.scopuseid_2-s2.0-85207145824-
dc.identifier.volume58-
dc.identifier.issue43-
dc.identifier.spage19178-
dc.identifier.epage19188-
dc.identifier.eissn1520-5851-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats