A paper titled “Driving Behaviour and its correlation with COVID-19 response measures: A neural network forecasting analysis” authored by Marios Sekadakis, Christos Katrakazas, Eva Michelaraki and  George Yannis, is published in Journal of Transportation Engineering. The NNAR modeling results showed that with higher stringency index, mobile use and driving speed tend to increase, whereas speeding duration demonstrates higher peaks. Interestingly, with stricter response measures, lower values were forecasted for speeding. According to the modeling outcomes, there is a direct effect of the COVID-19 response measures on driving behavior.