Literature DB >> 33253702

Assessment of sociodemographic disparities in environmental exposure might be erroneous due to neighborhood effect averaging: Implications for environmental inequality research.

Junghwan Kim1, Mei-Po Kwan2.   

Abstract

The neighborhood effect averaging problem (NEAP) is a major methodological problem that might affect the accuracy of assessments of individual exposure to mobility-dependent environmental factors (e.g., air/noise pollution, green/blue spaces, or healthy food environments). Focusing on outdoor ground-level ozone as a major air pollutant, this paper examines the NEAP in the evaluation of sociodemographic disparities in people's air pollution exposures in Los Angeles using one-day activity-travel diary data of 3790 individuals. It addresses two questions: (1) How does the NEAP affect the evaluation of sociodemographic disparities in people's air pollution exposures? (2) Which social groups with high residence-based exposures do not experience neighborhood effect averaging? The results of our spatial regression models indicate that assessments of sociodemographic disparities in people's outdoor ground-level ozone exposures might be erroneous when people's daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social/racial groups. The results of our spatial autologistic regression model reveal that non-workers (e.g., the unemployed, homemakers, the retired, and students) do not experience downward averaging: they have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other neighborhoods (thus, being doubly disadvantaged). Therefore, to avoid erroneous conclusions in environmental inequality research and ineffective public policies, it would be critical to take the NEAP into account in future studies of sociodemographic disparities related to mobility-dependent environmental factors.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Air pollution; Environmental inequality; Exposure; Los Angeles; The neighborhood effect averaging problem (NEAP)

Year:  2020        PMID: 33253702     DOI: 10.1016/j.envres.2020.110519

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  2 in total

1.  National and Intraurban Air Pollution Exposure Disparity Estimates in the United States: Impact of Data-Aggregation Spatial Scale.

Authors:  Lara P Clark; Maria H Harris; Joshua S Apte; Julian D Marshall
Journal:  Environ Sci Technol Lett       Date:  2022-08-30

2.  Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research.

Authors:  Jianwei Huang; Mei-Po Kwan; Jiannan Cai; Wanying Song; Changda Yu; Zihan Kan; Steve Hung-Lam Yim
Journal:  Sensors (Basel)       Date:  2022-03-19       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.