The aim of this paper is to produce forecasts for tourism flows and tourism revenue for ASEAN and East Asian countries after the end of the COVID-19 pandemic. By implementing two different machine learning methodologies (the Long Short Term Memory neural network and the Generalised Additive...

This paper is to produce different scenarios in forecasts for international tourism demand, in light of the COVID-19 pandemic. By implementing two distinct methodologies (the Long Short Term Memory neural network and the Generalized Additive Model), based on recent crises, we are able to...

This study examines the determinants of the relationship between terrorism and tourism, by testing different proxies to assess both the frequency and the severity of terrorist activity. The methodological approach includes implementing Principal Component Analysis into four different sets of...