https://orcid.org/0000-0001-7710-2361
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ABSTRACT
Among the diverse impacts of the pandemic on numerous aspects of life, tourism was the first industry hit severely by this pandemic. Therefore, it has become an important issue to study tourists’ behaviour as a core part of this industry and predict their travel pattern alternation after the COVID-19 pandemic. To avoid future destructive consequences of this universal disaster on tourism, the present research investigates the travellers’ honest opinions and travel behaviour after COVID-19 through the TripAdvisor review platform and Thematic analysis. After reading 8800 reviews, 822 codes were extracted and categorized using MAXQDA 2020 software. Then the collected and analyzed data have been classified by two themes (including Plog (1990) and Iso-Ahola (1982) models), and the final model has been designed. The findings illustrate a model including four types of travel patterns based on peoples’ reactions, opinions, and behaviours towards this pandemic.
Disclosure statement
No potential conflict of interest was reported by the author(s).