Domestic Tourism in Municipalities of the Northwestern Federal District: Statistical Assessments and Impact of the COVID-19 Pandemic.

Autor: Ivanov, I. A., Vasilyeva, T. V., Krasilnikova, I. N., Manakov, A. G.
Zdroj: Regional Research of Russia; Sep2023, Vol. 13 Issue 3, p419-427, 9p
Abstrakt: Currently, in the geography of tourism, a research field is rapidly developing that studies the dynamics and direction of tourist flows, based on official statistics at the level of states, regions, and lower administrative units. In 2022, the Federal State Statistics Service of Russia for the first time provided statistics on arrivals and overnight stays in municipalities of the country, which allowed the authors to classify them according to these indicators for 2021 in the Northwestern Federal District. The classification of municipalities was based on six indicators characterizing the volume of tourist flow and degree of development of the hotel and restaurant infrastructure. Due to the COVID-19 pandemic, the Northwestern Federal District experienced a significant reduction in tourist flow volume in 2020. However, with a sevenfold decrease in inbound tourist flow, the domestic tourist flow decreased only by a quarter. As well, already in 2021, in the federal district, the domestic tourist flow increased by almost 1.5 times, which allowed it to replace the decrease in the inbound tourist flow in the first year of the pandemic by more than a third. The cartographic analysis accompanying the development of the classification of municipal districts made it possible to spot intraregional differences in the size of the tourist flow and development of tourist infrastructure unseen when analyzing tourism statistics at the regional level. Thus, the study revealed a number of tourist anomalies within regions, when the volume of tourist flow does not correspond to the degree of development of the existing hotel and restaurant infrastructure. The results of the study can be used in planning the development of tourism. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index