A paper titled Trajectory-based indicators to determine the local character of intersection conflicts: A micro-spatial analysis authored by Andreas Hula, Apostolos Ziakopoulos, Angel Losada, Andrea Schaub, Peter Saleh and George Yannis has been published in Accident Analysis & Prevention. This paper utilizes the Mobility Observation Box (MOB), which provides a flexible data collection to be used in subsequent video analysis. To facilitate potential MOB uses, this study leverages over 51 h of naturalistic video data at a busy Vienna intersection to advance road safety research, by employing random parameters binary modelling of the likelihood of critical conflict occurrence and Gaussian generalized additive spatial modelling to identify key factors influencing the absolute values of conflict angles on critical conflicts only. The findings suggest that all road user types were ultimately less likely to be involved in safety–critical conflicts compared to cars in both leading and following roles, with the exception of cyclists in the leading role. Within the micro-spatial analysis, the kinematic parameters of the second road user only (speed, max acceleration and max deceleration), the duration of the interaction as well as intersection-specific local effects related to the position of the leading road user were all found to influence the transformed absolute value of the angles of critical conflicts.