Mobility, Air quality and Health
Use case
Measuring the impact of air quality in cities
A multifactorial challenge
Cities are centers of great human activity that provide a large number of services to their inhabitants. However, this great activity is accompanied by the high production of pollutants, which reduces air quality and has a negative impact on health and well-being.
To identify the most affected areas, high-resolution air quality analyses are carried out along with health reports on the incidence of diseases by area. However, these data present a great limitation as they do not consider population mobility. Most of the activities that people carry out in the city involve moving between different areas, therefore, in order to estimate exposure, it is key to understand population mobility patterns throughout the day. Merging all these data is a complex process that involves intensive computing resources not available to many administrations.
Towards more accurate exposure assessment
Integrating air quality, mobility and health data
At MePreCiSa we are developing a pilot study in Catalonia to understand the relationship between mobility, air quality and health. Our objective is to show the possibilities of the integrated use of real and dynamic data, and its potential applicability in other communities.
The results of the analysis will serve as support for decision-making in the design and implementation of effective interventions that improve people’s health and well-being.
