This document presents a study on developing an ordinal logistic regression model to analyze airport passenger satisfaction at Lamezia Terme International Airport in Italy. The study collected survey data from 1,800 passengers on their perceptions of various airport service quality factors and their overall satisfaction. An ordinal logistic regression model was developed to analyze the relationship between service quality aspects and passenger satisfaction. The results showed that some factors like airport appearance had an insignificant impact while factors like competence of personnel were significant predictors of satisfaction. The model can help airport managers identify key service aspects to improve passenger satisfaction and service quality.