The current state of the maritime passenger transportation industry is considered, as well as the factors influencing the chosen industry are investigated (competition between ports in the sea region, new environmental requirements and a shortage of space for new ports and terminals in megacities). Models of the evolution of seaports and terminals in the regions of the seas are analyzed and the need to solve the problem of forecasting development, reasonable modernization is revealed infrastructure. The importance of integrating passenger ports into urban transport systems and ensuring effective interconnection of maritime transport with regional transport systems is noted. Special attention is paid to the growth and development potential of sea ferries and cruises in the Baltic Sea region, the historical importance of St. Petersburg for cruise tourism and the need for the gradual restoration of the port and the development of new route networks are noted. The necessity of developing new methods for modernizing the infrastructure of passenger seaports based on the creation of digital models and the use of dynamic data is substantiated. As a solution, it is proposed to create a new digital model of a marine passenger port using information obtained from unmanned aircraft systems. This model will accurately take into account the infrastructural features of passenger ports and terminals, as well as the established priority of berths for the service of cruise and ferry ships. For multi-scenario modeling, a new digital model of the marine passenger port of St. Petersburg “Marine Façade” is proposed. To analyze the simulation results, the developed software modules in the Python programming language are proposed to describe the behavior strategies of the decision maker (port manager). To describe the decision-making process in the conditions of uncertainty that arises when making a decision on the modernization of the port infrastructure, the choice of the Wald criterion was justified as a criterion. A series of experiments was performed, based on the data, digital 2D and 3D models of a marine passenger port were formed for subsequent use in the AnyLogic environment, and a digital twin was built. A distinctive feature of the model is the up-to-date information on the state of the transport infrastructure and integration with data on ship calls. The presented model, methods of working with the results of multi-dimensional modeling, the use of unmanned aircraft systems, and the development of a model based on decision-making under uncertainty can be applied to other passenger seaports and terminals, which emphasizes the universality of the proposed approach.
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