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Temporal Analysis of Tourism Arrivals: A Multi-Country Time Series Approach
Abstract
This research conducts a detailed study on the timing of tourism arrivals in different countries using an advanced multi-country time series method. Our study attempts to reveal patterns and trends in visitor arrivals to nations over the last twenty years, considering the dynamic nature of the tourism industry and its significant impact on national economies. We have used sophisticated time series clustering methods to classify counties into three separate clusters based on the pattern in visitor arrivals throughout the specified timeframe.We use several time series data processing techniques such as normalization, detrending, and seasonality correction to make sure the clustering findings are comparable and reliable. The study's results provide important information for policymakers, tourist marketers, and stakeholders in the tourism industry. This data can be used to develop strategic plans, allocate resources effectively, and create focused promotional campaigns to support sustainable tourism growth.
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