Developing a Forecast System for Hotel Occupancy Rate Using Integrated ARIMA Models

Abstract

Abstract International tourist hotels play a consequential role in the development of the tourism industry. The occupancy rate is usually considered a pertinent indicator in measuring the performance of the hotels. This study employs the ARIMA and ARIMA transfer function model incorporated with the Box-Cox transformation function for the forecasting of occupancy rate. The results of this research find two explanatory variables strongly affect the occupancy rate: one is the numbers of tourists and the other is the Taiwan/ Japan foreign exchange rate. The forecasting shows slow rising of the occupancy rate for the international hotels in Taiwan; it will reach 64.67% by the year 2000. The forecast of the occupancy rate provides important information tor both government agencies and hotel managers so that corresponding management strategies can be made.