Quantifying the impact of daily mobility on errors in air pollution exposure estimation using mobile phone location data.

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作者： Xiaonan,Yu ^[1] ; Cesunica,Ivey ^[2] ; Zhijiong,Huang ^[3] ; Sashikanth,Gurram ^[4] ; Vijayaraghavan,Sivaraman ^[4] ; Huizhong,Shen ^[5] ; Naveen,Eluru ^[1] ; Samiul,Hasan ^[1] ; Lucas,Henneman ^[6] ; Guoliang,Shi ^[7] ; Hongliang,Zhang ^[8] ; Haofei,Yu ^[9] ; Junyu,Zheng ^[3]

作者单位： Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA. ^[1] Department of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA. ^[2] Inisitute for Environmental and Climate Research, Jinan University, Guangzhou, China. ^[3] AirSage, Atlanta, GA, USA. ^[4] School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. ^[5] T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA. ^[6] College of Environmental Science and Engineering, Nankai University, Tianjin, China. ^[7] Department of Environmental Science and Engineering, Fudan University, Shanghai, China. ^[8] Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA. Electronic address: haofei.yu@ucf.edu. ^[9]

关键词 Air pollution exposure Call detail record Cell phone location data Exposure misclassification Human mobility

主题词空气污染物(Air Pollutants);空气污染(Air Pollution);环境暴露(Environmental Exposure);环境监测(Environmental Monitoring);人类(Humans);颗粒物(Particulate Matter)

DOI 10.1016/j.envint.2020.105772

PMID 32416372

发布时间 2020-12-14

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