Forecasting aviation demand is a significant challenge in the airline industry. The design of
commercial aviation networks heavily relies on reliable travel demand predictions. It enables …

This study introduces an innovative framework that harnesses the most recent transformer
architecture to enhance tourism demand forecasting. The proposed transformer-based …

Tourism demand forecasting is a crucial prerequisite for effective and efficient tourism
management. This study develops a novel model based on deep learning methods for …

Aviation is undergoing significant sustainability issues, making energy efficiency and
emissions concerns crucial. This paper examines the energy efficiency patterns of flights …

Various factors have contributed to forecasting tourism demand. Although deep learning
methods can achieve accurate results, they haven't considered the temporal heterogeneity …

Previous researches have proposed five strategies to deal with complex multi-step ahead
forecasting tasks. However, these strategies have not received much attention in the field of …

In the digital era, social network service (SNS) significantly influences travel behavior.
Understanding SNS spillover effects is crucial for accurate tourism demand prediction. This …

Effective tourist demand forecasting is crucial for company operations and destination
management. Furthermore, tourists may plan better personalized multi-attraction itineraries …

With the increasing demand in operations, time is getting more important. In order to use
time and energy more effectively, it is becoming more important for airline companies and …

This study examines key determinants of New Zealand's airfreight exports to its key
overseas trading partners by empirically estimating augmented gravity models using panel …