Tourism is a fast-growing industry in Sri Lanka; as a result, the employment in the industry also shows a rapid growth. In light of that, the study was focused on identifying suitable forecasting techniques for total employment of tourism industry in Sri Lanka. Annual employment data for the...

This volume contains specially commissioned chapters by leading researchers who have used and modified the original TALC model over the past two decades, a reprint of the original article, a discussion of its origins, and a comprehensive review of most of the published material using the TALC

The phenomenal growth of both the world-wide tourism industry and academic interest in tourism over the last thirty years has generated great interest in tourism demand modelling and forecasting from both sectors. However, the tendency for researchers and practitioners engaged in quantitative...

Cover -- Guest editorial -- Tourism demand nowcasting using a LASSO-MIDAS model -- Forecasting daily attraction demand using big data from search engines and social media -- High-frequency forecasting from mobile devices' bigdata: an application to tourism destinations' crowdedness -- A...