A multivariate ARIMA model to forecast air transport demand

In this work, both univariate and multivariate time series models are proposed to estimate the demand levels about Reggio Calabria regional airport (located in the South of Italy) to capture both the trend of demand and the effects induced by the different policies started at the airport. Furthermore, the hedonic pricing theory has been applied to estimate the trip fare, which despite its importance usually cannot be used because fare data are not available