Changes in Seasonal Patterns and Resilience of Domestic Tourist's Demand During the Pandemic

Evidence from Indonesia

Abstract

This study aims to illustrate the changes in seasonal patterns and models the resilience of domestic tourists through the quantitative method. This study produced several findings. First, the pandemic impacted the number of trips as well as the travel patterns of domestic tourists. The seasonality index has succeeded in identifying a reduction in the peak season numbers during the pandemic period. A higher Gini coefficient during the pandemic showed an uneven distribution of the number of the monthly trip. Second, the response of domestic tourists to social movement restrictions was instant, and it took 18 months to recover.