Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NO2 Exposure

International Journal of Environmental Research and Public Health

卷:19

Chao Liu¹  Xiao Luo²  Huizi Wang²  Min Yi³  Qingyan Fu³ 

[1] College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;

[2] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China;

[3] Shanghai Environmental Monitoring Center, Shanghai 200235, China;

关键词: land use regression (LUR);    mobile phone signal data;    air pollution;    population exposure;    environmental justice;   

DOI  :  10.3390/ijerph19105872

来源: DOAJ

【 摘 要 】

Previous studies on exposure disparity have focused more on spatial variation but ignored the temporal variation of air pollution; thus, it is necessary to explore group disparity in terms of spatio-temporal variation to assist policy-making regarding public health. This study employed the dynamic land use regression (LUR) model and mobile phone signal data to illustrate the variation features of group disparity in Shanghai. The results showed that NO₂ exposure followed a bimodal, diurnal variation pattern and remained at a high level on weekdays but decreased on weekends. The most critical at-risk areas were within the central city in areas with a high population density. Moreover, women and the elderly proved to be more exposed to NO₂ pollution in Shanghai. Furthermore, the results of this study showed that it is vital to focus on land-use planning, transportation improvement programs, and population agglomeration to attenuate exposure inequality.

【 授权许可】

Unknown