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Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data

文献类型：期刊论文

作者Li, Mingxiao3,4,6; Gao, Song4; Lu, Feng1,5,6; Tong, Huan2; Zhang, Hengcai5,6
刊名INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
出版日期2019-11-01
卷号16期号:22页码:20
关键词individual exposure estimation air pollution trajectory reconstruction human mobility mobile phone sensor
DOI10.3390/ijerph16224522
通讯作者Zhang, Hengcai(zhanghc@lreis.ac.cn)
英文摘要The spatiotemporal variability in air pollutant concentrations raises challenges in linking air pollution exposure to individual health outcomes. Thus, understanding the spatiotemporal patterns of human mobility plays an important role in air pollution epidemiology and health studies. With the advantages of massive users, wide spatial coverage and passive acquisition capability, mobile phone data have become an emerging data source for compiling exposure estimates. However, compared with air pollution monitoring data, the temporal granularity of mobile phone data is not high enough, which limits the performance of individual exposure estimation. To mitigate this problem, we present a novel method of estimating dynamic individual air pollution exposure levels using trajectories reconstructed from mobile phone data. Using the city of Shanghai as a case study, we compared three different types of exposure estimates using (1) reconstructed mobile phone trajectories, (2) recorded mobile phone trajectories, and (3) residential locations. The results demonstrate the necessity of trajectory reconstruction in exposure and health risk assessment. Additionally, we measure the potential health effects of air pollution from both individual and geographical perspectives. This helped reveal the temporal variations in individual exposures and the spatial distribution of residential areas with high exposure levels. The proposed method allows us to perform large-area and long-term exposure estimations for a large number of residents at a high spatiotemporal resolution, which helps support policy-driven environmental actions and reduce potential health risks.
WOS关键词PERSONAL EXPOSURE ; PM2.5 CONCENTRATIONS ; SCIENCE ; HEALTH ; LOCATION ; PATTERNS ; CHILDREN ; TRENDS ; ERRORS ; SMOKE
资助项目National Natural Science Foundation of China[41771436] ; National Key Research and Development Program[2016YFB0502104]
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000502057400219
出版者MDPI
资助机构National Natural Science Foundation of China ; National Key Research and Development Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/130742]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Hengcai
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
2.UCL, UCL Inst Environm Design & Engn, London WC1E 6BT, England
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Univ Wisconsin, Dept Geog, Geospatial Data Sci Lab, Madison, WI 53706 USA
5.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Fujian, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Li, Mingxiao,Gao, Song,Lu, Feng,et al. Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2019,16(22):20.
APA Li, Mingxiao,Gao, Song,Lu, Feng,Tong, Huan,&Zhang, Hengcai.(2019).Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,16(22),20.
MLA Li, Mingxiao,et al."Dynamic Estimation of Individual Exposure Levels to Air Pollution Using Trajectories Reconstructed from Mobile Phone Data".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 16.22(2019):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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