Statistical Analysis of the Tourist Flow Across the Russian Federation

In connection with the past pandemic and the sanctions imposed against Russia, in order to identify the main trends in the development of the tourism industry, it is necessary to develop a mathematical model of internal tourism using evidence-based methods. These include statistical analysis, which is used to assess the problems in the tourism industry. The peculiarity of the presented work is that a statistical analysis of the tourist flow was carried out in the Kamchatka direction, thereby filling a gap in statistical studies of tourism development trends in this region. The purpose of this study is to apply the existing mathematical tools and identify the minimum set of indicators that make the main contribution to the change in the internal tourist flow over a fairly long period of time, from 2008 to 2023. The following defining parameters are considered: population size, average per capita income, average price of one trip across Russia, average price of one foreign trip, internal tourist flow for the previous period. Based on the results of calculations and a review of scientific publications, it is shown that statistical analysis methods make it possible to identify a set of characteristic parameters and make a forecast of the number of Russians traveling through travel agencies in the coming years. The methods used in the study can be used to analyze other indicators of the Russian tourism industry, such as safety, accessibility, and transportation opportunities. The presented work is in line with the priorities of the development of the domestic tourism business related to the introduction of modern digital technologies.