A paper titled “Modelling the relationship between covid-19 restrictive measures and mobility patterns across Europe using time-series analysis” authored by Marianthi Kallidoni, Christos Katrakazas and George Yannis is published in European Journal of Transport and Infrastructure Research. Data on walking and traffic were exploited and several time series analysis models were developed, in order to estimate mobility during pandemic in 25 EU countries. School closing was found to be the most important exogenous factor for describing driving or walking, while “Stay at home” orders had not a significant effect on the evolution of people movements.