Modeling of tourist profiles with decision trees in a world heritage city: the case of Cuenca (Ecuador).

Description

This research project proposes the formulation of profiles composed of foreign and national tourists in a world heritage city as a contribution to the strategies of the Association of Accommodation Establishments in the city of Cuenca. A total of 1,293 surveys, gathered during holidays between 2015 and 2016, underwent a statistical analysis of tree decisions and statistical regression using seven variables. As the product of this analysis, two homogeneous clusters were obtained, prior to the regression of a general grouping and two specific profiles. It was concluded that foreign tourists who achieve an identification with the city make it their city of permanent residence.

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