A paper titled ‘Mobile phone use, speed and accident probability of young drivers‘ authored by George Yannis, Leonidas Roumpas and Eleonora Papadimitriou is now published in Advances in Transportation Studies. A driving simulator experiment was carried out, in which young participants drove in different driving scenarios: urban and interurban areas, good or rainy weather, with or without the occurrence of unexpected incidents. Log-normal linear regression waw used to analyze the influence of mobile phone use and other parameters on the mean speed of drivers, whereas binary logistic regression was used to analyze the influence of mobile phone, change in speed and other parameters on accident probability. The results suggest that mobile phone use leads to statistically significant overall decrease of the mean speed. However, some drivers increased their speed during the mobile phone conversation, a case which has received little attention in the literature. Mobile phone use leads to significant increase of accident probability, indicating that the speed reduction when using a mobile phone is not sufficient to counterbalance the overall increased risk, especially when an unexpected incident occurs.