Showing 1 - 8 of 8
This paper introduces a web-based tourism demand forecasting system (TDFS) that is designed to forecast the demand for Hong Kong tourism, as measured by tourist arrivals, total and sectoral tourist expenditures, and the demand for hotel rooms. The TDFS process comprises three...
Persistent link: https://www.econbiz.de/10010636402
Empirical evidence has shown that seasonal patterns of tourism demand and the effects of various influencing factors on this demand tend to change over time. To forecast future tourism demand accurately requires appropriate modelling of these changes. Based on the structural time series model...
Persistent link: https://www.econbiz.de/10010573807
Empirical evidence has shown that seasonal patterns of tourism demand and the effects of various influencing factors on this demand tend to change over time. To forecast future tourism demand accurately requires appropriate modelling of these changes. Based on the structural time series model...
Persistent link: https://www.econbiz.de/10009195099
Persistent link: https://www.econbiz.de/10009195104
We evaluate the performances of various methods for forecasting tourism data. The data used include 366 monthly series, 427 quarterly series and 518 annual series, all supplied to us by either tourism bodies or academics who had used them in previous tourism forecasting studies. The forecasting...
Persistent link: https://www.econbiz.de/10009195109
We evaluate the performances of various methods for forecasting tourism data. The data used include 366 monthly series, 427 quarterly series and 518 annual series, all supplied to us by either tourism bodies or academics who had used them in previous tourism forecasting studies. The forecasting...
Persistent link: https://www.econbiz.de/10011051398
Persistent link: https://www.econbiz.de/10005428691
Persistent link: https://www.econbiz.de/10005429614