Thanks to mobility data, it has been possible to predict pollution problems up to two days before they occur, allowing the city to take precautions to protect public health, such as guiding traffic via alternative routes and advising vulnerable populations, such as those with respiratory conditions, on areas of high pollution. The mobility data used in the trial also delivered greater granularity and wider reach than traditional fixed air quality and traffic sensors, which are expensive to deploy.
But how does is work?
GSMA’s Big Data for Social Good
“The GSMA has achieved significant progress in the first trials of its Big Data for Social Good initiative by Bharti Airtel, Telefónica and Telenor, creating a blueprint for future deployments that leverages mobile operators’ big data capabilities to address the Sustainable Development Goals (SDGs). In these trials, operators are capturing anonymised, aggregated mobile indicators in a consistent output format, whilst respecting and protecting the privacy of individuals via an agreed Code of Conduct. The data is then combined with a wide variety of other data types to provide vital insights for public officials and NGOs.”