The analysis of origin airports in multi-airport regions has a well established tradition in transportation and regional economics. The main goal of the paper is to estimate the importance of the different attributes that determine origin airport choice. In our case we adopt a stated preference approach to study this problem and evaluate the effects of possible policy interventions. We also perform a detailed segmentation of the sample studied according to the socio-economic variables that prove statistically relevant when interacted with the attributes used to characterise airport choice. Moreover, in order to test for the presence of heterogeneity in agents’ preferences we estimate several mixed logit models with different specifications, including heteroscedasticity and error component. With respect to previous studies we develop and extend the traditional SP approach by also analysing the role and relevance of attribute cut-offs in this research field. The policy simulations produced are based on the estimation of airport-specific attributes. The study concentrates on a multi-airport region in central Italy where four competing airports are located.
