Planning underground infrastructure in large cities under uncertainty

An approach is proposed for modeling the planning of underground infrastructure inmegacities, combining foresight methodology and cognitive analysis methods. The foresightmethodology enables the development of diverse scenarios with numerical characteristics,which are then used as baseline data for cognitive modelling. An algorithm has been devel-oped to construct a numerically stable cognitive map, where the nodes contain reliable datagenerated during the foresight phase. The application of cognitive impulse modelling facili-tates the creation of underground tunnel development scenarios, accounts for uncertain-ties, analyzes the impact of various threats, selects optimal solutions, and justifies their pri-oritization for implementation.