To slow down the spread of COVID-19, governments introduced public health strategies such as social distancing and mobility restrictions. Enforcing mobility restrictions is one of the top strategies because it has a direct impact on the evolution of number of cases: it flattens the peak of the curve and delays it.
In such conditions, it is more critical than ever to quickly have feedback from the field with the relevant data in time: what is the actual impact of these decisions on collective mobility ? Does it match the desired outcome, or should stricter measures be introduced?
In the Mobility Insights team at Swisscom, we believe that combining mobile network signalling data with powerful machine learning algorithms will improve urban life and make it more sustainable. Our mission is to help our customers — mainly mobility and transportation specialists— by providing a minute by minute image of the collective mobility in Switzerland. As a result, our platform empowers our customers with a data-driven approach to decision making.
For this reason, it is very important to quantify the accuracy of the indicators we offer. …