Use of mobile phone traffic data for the assessment of air pollution exposure of urban population.

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Claudio Gariazzo* ◽  
Armando Pelliccioni ◽  
Andrea Bolignano
Keyword(s):  
Air Pollution ◽  
Mobile Phone ◽  
Urban Population ◽  
Traffic Data ◽  
Air Pollution Exposure ◽  
Pollution Exposure

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

2020 ◽  
Vol 141 ◽  
pp. 105772 ◽  
Author(s):  
Xiaonan Yu ◽  
Cesunica Ivey ◽  
Zhijiong Huang ◽  
Sashikanth Gurram ◽  
Vijayaraghavan Sivaraman ◽  
...  
Keyword(s):  
Air Pollution ◽  
Mobile Phone ◽  
Location Data ◽  
Exposure Estimation ◽  
Daily Mobility ◽  
Air Pollution Exposure ◽  
Pollution Exposure ◽  
The Impact

Assessing air pollution exposure and health impacts using mobile phone activity

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Audrey de Nazelle* ◽  
Juan Pablo Orjuela ◽  
Markus Schläpfer
Keyword(s):  
Air Pollution ◽  
Mobile Phone ◽  
Health Impacts ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Population dynamics based on mobile phone data to improve air pollution exposure assessments

2018 ◽  
Vol 29 (2) ◽  
pp. 278-291 ◽  
Author(s):  
Miguel Picornell ◽  
Tomás Ruiz ◽  
Rafael Borge ◽  
Pedro García-Albertos ◽  
David de la Paz ◽  
...  
Keyword(s):  
Air Pollution ◽  
Population Dynamics ◽  
Mobile Phone ◽  
Mobile Phone Data ◽  
Air Pollution Exposure ◽  
Pollution Exposure

scholarly journals Opportunities for mobile-phone based air pollution exposure assessment

2019 ◽  
Vol 3 ◽  
pp. 91-92
Author(s):  
de Nazelle A ◽  
Orjuela J ◽  
Avila-Palencia I ◽  
Dons E ◽  
Int Panis L ◽  
...  
Keyword(s):  
Air Pollution ◽  
Mobile Phone ◽  
Exposure Assessment ◽  
Air Pollution Exposure ◽  
Pollution Exposure

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

2019 ◽  
Vol 16 (22) ◽  
pp. 4522 ◽  
Author(s):  
Mingxiao Li ◽  
Song Gao ◽  
Feng Lu ◽  
Huan Tong ◽  
Hengcai Zhang
Keyword(s):  
Air Pollution ◽  
Mobile Phone ◽  
Pollution Monitoring ◽  
Spatiotemporal Variability ◽  
Mobile Phone Data ◽  
Potential Health ◽  
Individual Exposure ◽  
Air Pollution Exposure ◽  
Exposure Levels ◽  
Pollution Exposure

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.

scholarly journals Differential Effect of Ambient Air Pollution Exposure on Risk of Gestational Hypertension and Preeclampsia

Hypertension ◽  
2019 ◽  
Vol 74 (2) ◽  
pp. 384-390 ◽  
Author(s):  
Carrie J. Nobles ◽  
Andrew Williams ◽  
Marion Ouidir ◽  
Seth Sherman ◽  
Pauline Mendola
Keyword(s):  
Air Pollution ◽  
Differential Effect ◽  
Gestational Hypertension ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Pollution Exposure ◽  
Pollution Exposure
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