Tourism Prediction Using Clustering and Time Series Modelling

The tourism sector is one of the largest and fastest growing in the world's economies. In 2016, it was responsible for 10.2% of the world's GDP and 6.6% of annual exports. By 2027, it is expected to outperform retail and public services in terms of its contribution to the overall GDP, which ranges from 2.5 to 4%. The influence of climate on international travel is one of the key considerations. The world's climate has changed significantly since pre- industrial times, according to solid scientific data. Rising sea levels, an increase in the frequency and intensity of hurricanes, warming oceans, protracted droughts, and glacier melt are just a few of the severe effects that are predicted to result from these changes. Due to the extreme sensitivity of regional climates to both travellers and tourist attractions, the tourism sector and all of its stakeholders must adapt. Consequently, the worldwide phenomena of climate change is now having a significant impact on decision-making within the tourism industry.