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Ignoring the real environmental dynamics during daily activity and mobility of individual residents makes it difficult to accurately estimate the level of air pollution exposure among residents and determine populations at higher risk of exposure. This paper uses the example of the Wuhan metropolitan area, high-precision air pollution, and population spatio-temporal dynamic distribution data, and applies geographically weighted regression models, bivariate LISA analysis, and Gini coefficients. The risk of air pollution exposure in elderly, low-age, and working-age communities in Wuhan was measured and the health equity within vulnerable groups such as the elderly and children was studied. We found that ignoring the spatio-temporal behavioral activities of residents underestimated the actual exposure hazard of PM2.5 to residents. The risk of air pollution exposure was higher for the elderly than for other age groups. Within the aging group, a few elderly people had a higher risk of pollution exposure. The high exposure risk communities of the elderly were mainly located in the central and sub-center areas of the city, with a continuous distribution characteristic. No significant difference was found in the exposure risk of children compared to the other populations, but a few children were particularly exposed to pollution. Children\u2019s high-exposure communities were mainly located in suburban areas, with a discrete distribution. Compared with the traditional static PM2.5 exposure assessment, the dynamic assessment method proposed in this paper considers the high mobility of the urban population and air pollution. Thus, it can accurately reveal the actual risk of air pollution and identify areas and populations at high risk of air pollution, which in turn provides a scientific basis for proposing planning policies to reduce urban PM2.5 and improve urban spatial equity.<\/jats:p>","DOI":"10.3390\/ijerph191912671","type":"journal-article","created":{"date-parts":[[2022,10,8]],"date-time":"2022-10-08T22:19:27Z","timestamp":1665267567000},"page":"12671","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Spatial Equity of PM2.5 Pollution Exposures in High-Density Metropolitan Areas Based on Remote Sensing, LBS and GIS Data: A Case Study in Wuhan, China"],"prefix":"10.3390","volume":"19","author":[{"given":"Zhuoran","family":"Shan","sequence":"first","affiliation":[{"name":"School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China"},{"name":"The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongfei","family":"Li","sequence":"additional","affiliation":[{"name":"Guangzhou Urban Planning Survey and Design Institute, Guangzhou 510060, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haolan","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China"},{"name":"The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Man","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China"},{"name":"The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shen","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China"},{"name":"The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1177\/0739456X17711516","article-title":"Exploring the Association between Urban Form and Air Quality in China","volume":"38","author":"Yuan","year":"2018","journal-title":"J. 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