A review of land-use regression models for characterizing intraurban air pollution exposure.

A review of land-use regression models for characterizing intraurban air pollution exposure. Research Abstract Details 

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A review of land-use regression models for characterizing intraurban air pollution exposure. Abstract Text:

Patrick H Ryan,Grace K LeMasters,Patrick H Ryan,Grace K LeMasters,

Epidemiologic studies of air pollution require accurate exposure assessments at unmonitored locations in order to minimize exposure misclassification. One approach gaining considerable interest is the land-use regression (LUR) model. Generally, the LUR model has been utilized to characterize air pollution exposure and health effects for individuals residing within urban areas. The objective of this article is to briefly summarize the history and application of LUR models to date outlining similarities and differences of the variables included in the model, model development, and model validation. There were 6 studies available for a total of 12 LUR models. Our findings indicated that among these studies, the four primary classes of variables used were road type, traffic count, elevation, and land cover. Of these four, traffic count was generally the most important. The model R2 explaining the variability in the exposure estimates for these LUR models ranged from .54 to .81. The number of air sampling sites generating the exposure estimates, however, was not correlated with the model R2 suggesting that the locations of the sampling sites may be of greater importance than the total number of sites. The primary conclusion of this study is that LUR models are an important tool for integrating traffic and geographic information to characterize variability in exposures.

A review of land-use regression models for characterizing intraurban air pollution exposure. Publishing Authors By Initials

PH Ryan,GK LeMasters,PH Ryan,GK LeMasters,

For similar complex mixtures: vehicle emissions research abstracts see: complex mixtures: vehicle emissions research

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A review of land-use regression models for characterizing intraurban air pollution exposure. Journal Published:

PUBLICATION TYPE: Review

Journal: Inhalation toxicology

VOLUME: 19 Suppl 1

Page Numbers: 127-33

Journal Abbreviation:

ISSN: 1091-7691

DAY: 19

MONTH: 11

YEAR: 2007

A review of land-use regression models for characterizing intraurban air pollution exposure. Information

Number of References: 11

LANGUAGE: eng

NlmUniqueID: 8910739

A review of land-use regression models for characterizing intraurban air pollution exposure. Keywords Mesh Terms:

KEYWORDS: Vehicle Emissions

MESH TERMS: analysis

Chemical & Substance for Abstract: A review of land-use regression models for characterizing intraurban air pollution exposure. Information

Substance Name: Vehicle Emissions

Registry Number: 0

Grant and Affiliation Information for A review of land-use regression models for characterizing intraurban air pollution exposure.

AFFILIATION: Division of Epidemiology and Biostatistics, Department of Environmental Health, University of Cincinnati Medical Center, Cincinnati, Ohio 45267-0056, USA. patrick.ryan@uc.edu

Country: United States

AGENCY: United States NIEHS

GRANT: ES11170

ACRONYM: ES

MEDLINETA: Inhal Toxicol

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