Analyzing Tourism Return Intention to an Urban Destination

Abstract

This article employs a mixed logit bounded random parameter model to analyze the returning preferences of tourists visiting the city of Lisbon, Portugal. The results show that accommodation characteristics and destination attributes (accommodation range, events, food quality, expected weather beach, overall quality, reputation, and safety) have a positive and significant impact on the probability of returning to the city. The model comparison shows that the mixed logit bounded random parameter outperforms the traditional mixed logit model and leads to more accurate conclusions.