Tourism Demand Time Series Forecasting: A Systematic Literature Review

Abstract

The tourism industry is one of the economic sectors that is overgrowing throughout the world. Accurate tourism demand forecasting is needed for proper strategic planning, decision making, and advanced research. Although there are several review papers on tourism demand forecasting in the literature, they are limited to only a few aspects. The purpose of this paper is to provide a comprehensive, structured analysis, not only method but also data source, destination, date range, information type, data frequency, and measurement accuracy. This paper also identified some remaining problems to be solved as the future direction for tourism demand forecasting research. There are 21 recent studies in tourism demand forecasting from 2017 to 2019 in the form of a systematic literature review. This will contribute to research in stimulating tourism demand prediction researchers and practitioners to undertake more work and developments in the field of time series forecasting.