Abstract
The coronavirus disease-2019 (COVID-19) outbreak has restricted mobility and significantly influenced tourists'' behaviors. This study examines whether different ages and gender play a significant role in travel patterns due to the COVID-19 crisis. Big data analytics in mobile cellular networks were utilized to fully understand the pandemic''s impact on tourists'' mobility and behavioral change. Findings showed that the average tourist activity was highest in their 50s, followed by those in their 20s, 40s, 30s, 60s, teens, and over 70s, from 2018 to 2021. Additionally, in the radius of tourism activity, the tourists'' mobility outside their homes significantly decreased for those in the 60s and older with relatively increased tourism activity. This study also showed a significant difference between men and women, especially in their 40s. Finally, this paper discusses useful implications for future researchers and practitioners from the findings.
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