A paper titled ‘Critical power two wheeler driving patterns at the emergence of an incident’ co-authored by Eleni Vlahogianni, George Yannis and John Golias is now available in the Accident Analysis and Prevention Journal. The paper proposes a methodology based on Bayesian Networks for identifying the power two wheeler (PTW) driving patterns that arise at the emergence of a critical incident based on high resolution driving data (100 Hz) from a naturalistic PTW driving experiment. Results using data from one PTW driver reveal three prevailing driving actions for describing the onset of an incident and an equal number of actions that a PTW driver executes during the course of an incident to avoid a crash.