Mobility trends in Italy during the first wave of Covid-19 pandemic: analysis on Google data

During Covid-19 pandemic, Governments implemented policies to reduce the spread of the virus. In Italy, policies have been implemented starting from 9th March 2020, when in the whole country lock-down policies were adopted. In this study, we analyze mobility data to understand which were the main drivers of mobility during the first pandemic wave. In particular, we analyze Google mobility reports, to study the relative changes in mobility w.r.t. a specific baseline and to analyze several different mobility drivers. In addition, we implement Multilinear Principal Component Analysis to extract relevant features from a multidimensional object. Results show good performances in terms of explained Frobenious norm and two PCs are able to synthesize the trends; finally, the reconstructed trends are also similar to the true original ones.