The Hong Kong Polytechnic University (PolyU) has unveiled a new forecasting platform that will serve as a valuable tool for industry professionals, policy makers and academics to adapt and generate forecasts of visitor arrivals to the Greater Bay Area (GBA) in different economic scenarios.
Titled The Development of an Automated and Self-Adaptive Tourism Demand Forecasting Platform for the Greater Bay Area (GBA-TDFP), the project adopts an interdisciplinary approach to integrate well-established theories in economics, tourism management and computer science. It features key functions such as big data visualisation, market sensitivity analysis, short-, medium- and long-term forecasting, sentiment analysis, and interactive scenario forecasting.
While the economy has now largely recovered from the shocks caused by travel restrictions and public health…
