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Research on adaption to air pollution in Chinese cities: Evidence from social media-based health sensing  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Research on adaption to air pollution in Chinese cities: Evidence from social media-based health sensing

作者:Ji, Huimin[1,2];Wang, Juan[1,2];Meng, Bin[1,2];Cao, Zheng[3];Yang, Tong[1,2];Zhi, Guoqing[1,2];Chen, Siyu[1,2];Wang, Shaohua[4];Zhang, Jingqiu[1]

第一作者:Ji, Huimin

通讯作者:Wang, J[1]

机构:[1]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[2]Beijing Union Univ, Lab Urban Cultural Sensing & Comp, Beijing 100191, Peoples R China;[3]Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Peoples R China;[4]Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China

第一机构:北京联合大学应用文理学院

通讯机构:[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份:2022

卷号:210

外文期刊名:ENVIRONMENTAL RESEARCH

收录:;Scopus(收录号:2-s2.0-85124914811);WOS:【SCI-EXPANDED(收录号:WOS:000772999100008)】;

基金:This research was funded by the National Key Research and Development Program of China (Grant Nos. 2017YFB0503605), Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality (CIT&TCD201904070), the National Natural Science Foundation of China (41601460, 41671165) and the Academic Research Projects of Beijing Union University (Grant Nos. ZK40202001, RB202101).

语种:英文

外文关键词:Air pollution; Health sensing; Weibo social media; GAM; China

摘要:Air pollution seriously threats to human health. Understanding the health effects of air pollution is of great importance for developing countermeasures. However, little is known about the real-time impacts of air pollution on the human heath in a comprehensive way in developing nations, like China. To fill this research gap, the Chinese urbanites' health were sensed from more than 210.82 million Weibo (Chinese Twitter) data in 2017. The association between air pollution and the health sensing were quantified through generalized additive models, based on which the sensitivities and adaptions to air pollution in 70 China's cities were assessed. The results documented that the Weibo data can well sense urbanites' health in real time. With the different geographical characteristics and socio-economic conditions, the Chinese residents have adaption to air pollution, indicated by the spatial heterogeneity of the sensitivities to air pollution. Cities with good air quality in South China and East China were more sensitive to air pollution, while cities with worse air quality in Northwest China and North China were less sensitive. This research provides a new perspective and methodologies for health sensing and the health effect of air pollution.

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