Table I

The most important and highest-quality articles using time series for tourism and passenger demand forecasting

AuthorsPurposeDemand type and periodDeterminantsModeling
Oh and Morzuch (2005) Comparing some time series forecasting modelsMonthly travelers’ arrivalsHistoric data of arrivalsNaïve I/Naïve II/Linear regression/Winters’s model/Autoregressive Integrated Moving Average (ARIMA)/Sine-wave regression
Lin et al. (2011) Comparing different methods to forecast the tourism demand in TaiwanMonthly tourism demandHistoric data of monthly visitors to TaiwanARIMA/ANNs/Multivariate adaptive regression splines
Claveria and Torra (2014) Comparing the tourism demand forecast models of time series and ANNsMonthly demand of tourismMonthly data of tourist arrivals and overnight staysARIMA/Self-exciting threshold autoregressions/ANNs
Tang et al. (2015) Predicting the inbound tourism demandMonthly tourist arrivalsMonthly data of international tourist arrivalsTime series/Likelihood-based belief function
Cankurt and SUBAŞI (2016) Forecast the multivariate tourism demand in TurkeyMonthly tourist arrivalsFinancial and demographic informationMultiple linear regression/Artificial neural network/Support vector regression
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