Wang, L. orcid.org/0000-0002-4627-6462, Jiang, L. orcid.org/0000-0002-1009-996X, Zhai, Z. orcid.org/0000-0002-4524-4215 et al. (3 more authors) (2025) Are deprived communities exposed to higher PM2.5 concentrations? Evidence from Cangzhou, China. Transportation Research Part D: Transport and Environment, 143. 104762. ISSN 1361-9209
Abstract
Deprived communities tend to face higher environmental exposure risks due to inadequate environmental protection and economic investment. Estimating high-resolution disparities in pollution exposure is key to addressing such Environmental Justice issues. This study conducted a PM2.5 measurement campaign in Cangzhou, China, in 2021, by using a taxi-based mobile sensing system. Disparities in pollution exposure, health impacts and related economic costs were calculated between deprived and affluent zones. The results showed mean values cannot represent the full extent of exposure inequality, and distributional characteristics should be emphasized. Pollutant concentrations and relative risks in some disadvantaged areas exceeded the maximum values in affluent areas. Disparities are more pronounced within deprived areas, with Gini coefficients for pollution exposure of 9.12%, exceeding affluent areas (2.28%). But affluent areas exhibit higher economic costs. The study contributes to portraying the inequalities of environmental exposure in developing country cities, helping formulate policies to mitigate environmental health disparities.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of an article accepted for publication in Transportation Research Part D: Transport and Environment made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Environmental justice; Health impact assessment; Deprived-affluent areas disparities; Roadside fine particulate matters; Mobile monitoring system |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Apr 2025 14:43 |
Last Modified: | 25 Apr 2025 16:15 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trd.2025.104762 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225681 |