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Lili Wu, Yi Liu, Kuo Liu, Yongji Wang and Zhihui Tian
Based on the digital footprint data, exploring the differences in tourist market structure and driving factors before and after COVID-19 is important for identifying tourist market demand and optimizing tourism product supply in the post-pandemic era. Mo...
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Yuruixian Zhang, Wei Chong Choo, Jen Sim Ho and Cheong Kin Wan
Tourism forecasting has garnered considerable interest. However, integrating tourism forecasting with volatility is significantly less typical. This study investigates the performance of both the single models and their combinations for forecasting the v...
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Apostolos Ampountolas
Overnight forecasting is a crucial challenge for revenue managers because of the uncertainty associated between demand and supply. However, there is limited research that focuses on predicting daily hotel demand. Hence, this paper evaluates various model...
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Tendai Makoni,Delson Chikobvu
AbstractAccurate tourism volatility forecasts for popular tourist destinations, like the Victoria Falls Rainforest, are vital to tourism destination managers and policymakers. The Victoria Falls Rainforest in Zimbabwe is under the town of Victoria Falls ...
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Sarod Khandaker,Silvia Zia Islam
Pág. 389 - 393
The Global Financial Crisis (GFC) in the early 21st century curtailed international tourism growth, and the tourism industry suffered significantly during the financial crisis. There is evidence in the academic literature that the demand for internationa...
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