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

scholarly journals Health Impacts of Urban Bicycling in Mexico

2021 ◽  
Vol 18 (5) ◽  
pp. 2300
Author(s):  
David Rojas-Rueda
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Air Pollution ◽  
Health Risks ◽  
Health Benefits ◽  
Health Impacts ◽  
Traffic Fatalities ◽  
Premature Deaths ◽  
Air Pollution Exposure ◽  
Pollution Exposure

Background: Bicycling has been associated with health benefits. Local and national authorities have been promoting bicycling as a tool to improve public health and the environment. Mexico is one of the largest Latin American countries, with high levels of sedentarism and non-communicable diseases. No previous studies have estimated the health impacts of Mexico’s national bicycling scenarios. Aim: Quantify the health impacts of Mexico urban bicycling scenarios. Methodology: Quantitative Health Impact Assessment, estimating health risks and benefits of bicycling scenarios in 51,718,756 adult urban inhabitants in Mexico (between 20 and 64 years old). Five bike scenarios were created based on current bike trends in Mexico. The number of premature deaths (increased or reduced) was estimated in relation to physical activity, road traffic fatalities, and air pollution. Input data were collected from national publicly available data sources from transport, environment, health and population reports, and surveys, in addition to scientific literature. Results: We estimated that nine premature deaths are prevented each year among urban populations in Mexico on the current car-bike substitution and trip levels (1% of bike trips), with an annual health economic benefit of US $1,897,920. If Mexico achieves similar trip levels to those reported in The Netherlands (27% of bike trips), 217 premature deaths could be saved annually, with an economic impact of US $45,760,960. In all bicycling scenarios assessed in Mexico, physical activity’s health benefits outweighed the health risks related to traffic fatalities and air pollution exposure. Conclusion: The study found that bicycling promotion in Mexico would provide important health benefits. The benefits of physical activity outweigh the risk from traffic fatalities and air pollution exposure in bicyclists. At the national level, Mexico could consider using sustainable transport policies as a tool to promote public health. Specifically, the support of active transportation through bicycling and urban design improvements could encourage physical activity and its health co-benefits.

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

Air Pollution Exposure And Health Impacts Of Cyclists Along Two Bicycle Routes In Vancouver

2012 ◽  
Author(s):  
Christie Cole ◽  
Christopher Carlsten ◽  
Michael Koehle ◽  
Catherine Steer ◽  
Michael Brauer
Keyword(s):  
Air Pollution ◽  
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.

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