The forecasting potential of adaptive models in tourism

Bibliographic Data

ID6132246
AuthorsAnna Aleksandrova (0000-0002-1772-8431, Lomonosov Moscow State University), Ekaterina Aigina (0000-0002-3832-169X, Lomonosov Moscow State University), Veronika Dombrovskaya (0000-0002-7138-1774), Veronika E Dombrovskaya (Tver State University)
Year2021
Volume31
Issue2
Pages181-196
Publication date2021-12-31
Open AccessYes
TypeARTICLE
VenueTuryzm/Tourism (JOURNAL)
Journal identifiersISSN: 0867-5856 • E-ISSN: 2080-6922
PublisherUniwersytet Lodzki (University of Lodz) (PUBLISHER)
DOI10.18778/0867-5856.31.2.10
OpenAlexW4205151540
LanguageEN
Citations received1
References cited12

The article discusses forecasting as one of the special scientific research areas which contribute to the assessment of tourist activity development prospects, the identification of key tourism development factors and effective management decision criteria. The study provides an overview of modern research methods used in Russia and other countries for making forecasts in the field of tourism. It aims at assessing the predictive capabilities of adaptive modeling, not frequently used currently in tourism research, for the quantitative analysis of tourist flows using the example of Barcelona, a major urban tourist destination in the pre-pandemic period. An example of a forecast for tourist numbers based on adaptive models is proposed, one of the key indicators showing tourist region success which have proven successful in the study of processes with a dynamic but unstable character

Geography · Operations research · Regional science · Tourism · Computer Science · Diverse Aspects of Tourism Research · Engineering · Sport and Mega-Event Impacts · Wine Industry and Tourism

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Open DOIOpen Access