Snow avalanches pose a hazard to traffic infrastructure in mountain areas, resulting in economic losses because of necessary road and railway closures. In order to decrease such economic losses, a decision on a hazard-adapted use of an exposed object at risk should be based on the comprehensive analysis of the hazard as well as the exposed damage potential within given social and economic settings. The following research illustrates the importance of the dynamics in avalanche risk, taking the railway and the road sections situated in the Khibiny Mountains, Russia, as a case study. The study bridges the existing methodological gap in dynamic avalanche risk assessment on a large scale in Russia and introduces a practical implementation of the existing European approaches adapted for the specific site conditions. Two different timeframes were selected to address long-term development and short-term dynamics in hazard and risk. In an annual timeframe, the risk was evaluated for both, the road and the railway section, and was consequently expressed in terms of fatality risk and economic losses. In a daily timeframe, the spatio-temporal variability of damage and hazard potential was assessed for the railway section on the basis of a fuzzy logic model. In addition, to quantify possible consequences of an increase in hazard and damage potential, three scenarios were applied using the validated avalanche simulation model ELBA plus. The results highlight the importance of the temporal and spatial variability of hazard and elements at risk, focusing on avalanche risk. Furthermore, the findings of the conducted research represent the current situation in the region and offer a basis for the development and implementation of decision-making processes in respect to the avalanche risk.