Development of Methods for Forecasting Tourist Flows

DOI

10.2991/aebmr.k.200509.110How to use a DOI?

Keywords

forecasting tourist flow, inbound tourism, statistical indicators, tourist demand, predictive methodology

Abstract

The tourist flow to Russia in 2019 was to grow by 20%, as predicted by the Association of Tour Operators of Russia (ATOR), as a result, 18% visited Russia. Tourism experts need to develop a methodology for forecasting tourist flows that can calculate potential tourists interested in traveling in Russia, and in the future, forecast demand and make appropriate recommendations for federal and regional authorities and the tourism business. This analysis offers additional indicators characterizing tourist flows, allowing us to predict and evaluate the tourist flow in the territory of individual regions, as well as the concept of a methodology for forecasting tourist flows.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - A.M. Kanina
PY  - 2020
DA  - 2020/05/12
TI  - Development of Methods for Forecasting Tourist Flows
BT  - Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)
PB  - Atlantis Press
SP  - 612
EP  - 615
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200509.110
DO  - 10.2991/aebmr.k.200509.110
ID  - Kanina2020
ER  -