A paper titled “A Review of Surrogate Safety Measures Uses in Historical Crash Investigations” authored by Dimitrios Nikolaou, Apostolos Ziakopoulos and George Yannis, has been published in Sustainability. On that purpose, 34 studies were examined, providing insights on the different types of SSMs collected under real road environment conditions, the way they are collected, their connection with specific road crash types, and the type of the developed statistical models are examined and discussed. Particular focus is also placed on the temporal dimension of the collection period of both SSMs and road crashes. Based on the classification performance metrics of the developed models, it was found that the Random Forests classifier outperformed the other developed classifiers in terms of predicting crash risk levels of the considered motorway segments.