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

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

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 advan...

Full description

Bibliographic Details
Main Authors: Mingxiao Li, Song Gao, Feng Lu, Huan Tong, Hengcai Zhang
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:International Journal of Environmental Research and Public Health
Subjects:
individual exposure estimation
air pollution
trajectory reconstruction
human mobility
mobile phone sensor
Online Access:https://www.mdpi.com/1660-4601/16/22/4522

Internet

https://www.mdpi.com/1660-4601/16/22/4522

Similar Items