Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/31041
Title: Modeling of tourist profiles with decision trees in a world heritage city: the case of Cuenca (Ecuador)
Authors: Serrano Lopez, Ana Lucia
Freire Chaglla, Segundo Amador
Espinoza Figueroa, Freddy Edgar
Andrade Tenesaca, Dolores Susana
Villafuerte Pucha, Maria Elena
Keywords: GROUPING
DECISION TREE
RANDOM FOREST
OFFER AND DEMAND
STATISTICS
TOURIST PROFILES
WORLD HERITAGE CITY
Issue Date: 2018
metadata.dc.ucuenca.embargoend: 7-Sep-2050
metadata.dc.type: ARTÍCULO
Abstract: 
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 decision trees and statistical regression using seven variables. In addition, by means of CART and Random Forest technical comparisons, the models and predictive variables were prioritized for marketing strategies and planning. Two tourist profiles were described, the backpacker type and the cultural type, with an error of 1%, where the variables of visitor age, daily average accommodation expense, and type of employment at the origin predicted the accommodation selection upon arrival at the tourist destination in a better way.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/31041
https://www.tandfonline.com/doi/abs/10.1080/21568316.2018.1501731?journalCode=rthp21
ISSN: 2156-8316
Appears in Collections:Artículos

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