Tourism demand forecasting with multiple mixed-frequency data: a reverse mixed-data sampling method

P Wu, G Li, L Wen, H Liu - Journal of Travel Research, 2023 - journals.sagepub.com
Due to the limitations of existing tourism demand forecasting models, data with frequencies
lower than those of the tourism demand need to be processed in advance and cannot be …

Enhancing tourism demand forecasting with a transformer-based framework

X Li, Y Xu, R Law, S Wang - Annals of Tourism Research, 2024 - Elsevier
This study introduces an innovative framework that harnesses the most recent transformer
architecture to enhance tourism demand forecasting. The proposed transformer-based …

Forecasting Alisadr Cave Tourism Demand using Combination of Short-term and Long-term Forecasts

E Malekzadeh Hamedani, M Kaedi… - International Journal of …, 2022 - ijwr.usc.ac.ir
Nowadays, the tourism industry has become one of the most important sectors in the world
economy. Due to the perishability of this industry, accurate forecasting of the demand is very …

[PDF][PDF] Modelling and Forecasting Saudi Arabia's Inbound Tourism Demand

EM Alanzi - 2023 - vuir.vu.edu.au
The tourism sector in Saudi Arabia has been identified as one of the priority sectors in
Saudi's Vision 2030. This vision is focused on diversifying the economy, contributing to …

Множественное регрессионное моделирование: современное пространственное планирование и экономическое моделирование индустрии туризма (на …

Н Артунов - Журнал Белорусского государственного …, 2023 - journals.bsu.by
Аннотация Проведены тщательный анализ территориального планирования
туристической отрасли и множественный регрессионный анализ доходов от туризма в …

[PDF][PDF] Please cite as

X Li, Y Xu, R Law, S Wang - osf.io
This study introduces an innovative framework that harnesses the most recent transformer
architecture to enhance tourism demand forecasting. The proposed transformer-based …