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

被引:33
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 ]
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
基金
中国国家自然科学基金;
关键词
Air pollution; Health sensing; Weibo social media; GAM; China; OBSTRUCTIVE PULMONARY-DISEASE; DAILY MORTALITY; BIG DATA; RISK; EXPOSURE; TEMPERATURE; POLLUTANTS; VISITS; TRENDS; DEATH;
D O I
10.1016/j.envres.2022.112762
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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.
引用
收藏
页数:11
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