Table II

The most important and highest-quality articles using ARMA, ARIMA and SARIMA for tourism and passenger demand forecasting

AuthorsPurposeDemand type and periodDeterminantsModeling
Andreoni and Postorino (2006) Predicting the air transport demandAnnual airport passengersHistoric annual airport passenger demandARIMA/ARIMAX
Chu (2008) Comparing ARMA-based methods to forecast the tourism demandMonthly tourist arrivalsHistoric data of international tourist arrivalsNaïve/Linear regression/Cubic polynomial regression/Sine wave nonlinear regression/ARIMA/ARFIMA/SARIMA
Chu (2009) Forecasting the tourism demandMonthly and quarterly tourist arrivalsHistoric monthly tourist arrivals dataARIMA/ARAR/ARFIMA
Loganathan and Ibrahim (2010) Predicting the tourism demandSeasonal international tourist arrivalsHistoric seasonal data of international tourist arrivalsBox-Jenkins SARIMA
Nguyen et al. (2013) Predicting the inbound tourism demandInbound arrivals per monthHistoric monthly arrivals of International touristsARIMA/Grey forecasting/Fourier series
Anvari et al. (2016) Predicting the urban rail passenger demandPeriodic number of passengersHistoric periodic passengers dataBox–Jenkins ARIMA
Petrevska (2017) Predicting tourism demand in MacedoniaAnnual tourist arrivalsHistoric annual arrivalsBox–Jenkins ARIMA
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