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1-km Hourly Raster Dataset of PM2.5 Exposure Equality in Six Cities of China from the Trajectory Data Perspective (Jan.-Feb. 2023)


WU Zihao1,2MA Zhifeng1,2XIA Jizhe*1,2
1 School of Architecture & Urban Planning,Shenzhen University,Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area,Guangdong Key Laboratory of Urban Informatics,Shenzhen Key Laboratory of Spatial Smart Sensing and Service,Shenzhen 518060,China2 State Key Laboratory of Subtropical Building and Urban Science,Shenzhen 518060,China

DOI:10.3974/geodb.2026.02.08.V1

Published:Feb. 2026

Visitors:47       Data Files Downloaded:0      
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Key Words:

GPS trajectory data,PM2.5 concentration retrieval, PM2.5 exposure assessment,inequality analysis,

Abstract:

The authors calculated the hourly average PM2.5 exposure concentration of individuals by overlaying a large volume of cleaned population trajectory data with hourly PM2.5 distribution data at a 1 km spatial resolution. The hourly average PM2.5 exposure concentrations of groups stratified by gender, age, income and commuting distance were calculated. Then the Gini coefficients of residents' exposure and concentration indices of different groups in six cities (Beijing, Shanghai, Shenzhen, Wuhan, Chengdu, and Xi’an) were assessed, and the vulnerable groups and spatial inequality patterns of PM2.5 exposure in each city were systematically identified, and a dataset of PM2.5 exposure equity across population groups from the trajectory data perspective was developed. The dataset includes the following data: (1) hourly 1-km PM2.5 concentration spatial distribution data of six cities from Jan. 24 to Feb. 23, 2023; (2) per capita PM2.5 exposure concentrations of urban residents derived from dynamic mobile phone trajectory data; (3) hourly average PM2.5 exposure data of groups in each city classified by social characteristics (age, income and gender) and spatial characteristics (commuting distance); (4) Gini coefficients of PM2.5 exposure for residents in each city; (5) concentration indices and OLS analysis of PM2.5 exposure for each population group; (6) hourly average PM2.5 exposure of residents at the county level. The dataset is archived in .shp, .tif and .xlsx formats, consisting of 753 data files with a data size of 10.6 GB (compressed into one single file with 127 MB).

Foundation Item:

National Natural Science Foundation of China (42171400)

Data Citation:

WU Zihao, MA Zhifeng, XIA Jizhe*. 1-km Hourly Raster Dataset of PM2.5 Exposure Equality in Six Cities of China from the Trajectory Data Perspective (Jan.-Feb. 2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.02.08.V1.

References:


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Data Product:

ID Data Name Data Size Operation
1 Trajectory_PM2.5_Exposure_Equity.rar 130176.93KB
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