Conference paper Open Access

Assessment of Sociodemographic Disparities in Environmental Exposure Might be Erroneous due to Neighborhood Effect Averaging: Implications for Environmental Inequality Research

Kim, Junghwan; Kwan, Mei-Po

This paper examines the neighborhood effect averaging problem (NEAP) in the evaluation of sociodemographic disparities in people’s air pollution exposures in Los Angeles using GIScience methods and activity-travel diary data of 3790 individuals. Spatial regression model results indicate that assessments of sociodemographic disparities in people’s air pollution exposures are erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social/racial groups. Therefore, to avoid erroneous conclusions in environmental inequality research, it would be critical to consider the NEAP in studies of

Files (231.7 kB)
Name Size
GISRUK2021_paper_25.pdf
md5:874131394cd989d2d7d3dafecf0f64d9
231.7 kB Download
67
110
views
downloads
All versions This version
Views 6767
Downloads 110110
Data volume 25.5 MB25.5 MB
Unique views 6565
Unique downloads 108108

Share

Cite as