Methodological proposal for the identification of tourist routes in a particular region through clustering techniques

Abstract

The tourism sector has an essential role in the sustainable development of a country. Therefore, in this research we propose a methodology to identify tourist routes that integrate the most important Points Of Interest in a region taking up as criteria profile characteristics in common between the sites evaluated using clustering techniques. To attain this goal, firstly, a literature review focused on compiled information used for location selection and evaluation in attraction potential sites. Then, clustering techniques are applied to identify similarities between sites, and finally, a layout of tourist routes is presented. We applied this methodology using data from a Region in Colombia. As a result, eight factors are proposed: Natural, Cultural, Tourist Plant, Infrastructure, Superstructure, Accessibility, Human and Tourist Capital and Security. From the second phase, three tourist groups were identified with three tourism factors for each of them; and then, two examples of tourist routes are proposed.

Socio-economic conditions for formation of an ecological and recreational cluster in the Rostov region and its development potential

“…International best practices in touristic clustering of the territory are presented in the papers of such authors as Juan B.Duarte-Duarte Leonardo, H.Talero-Sarmiento, Diana C.Rodríguez-Padilla, 2021 [1]. Social, economic and spatial aspects of clustering are given in the papers of Marta Dereka, Edyta Woźniakb, Sylwia Kulczyka, 2019 and used in the course of conceptual developement of this article [2].…”

Target points as survey locations: Touristic Potentiality Index of the Burgos province

“…As far as the authors know, there are no specific works that propose the detection of appropriate target points for conducting tourist surveys. Although it is true that works that define touristic routes (Barahoma et al, 2021;Duarte Duarte, 2021) and an enormous amount of works that define potentiality indices of touristic destinations can be found. These indices use different methods to obtain the tourist attractiveness of the tourist destinations, but they do not manage to relate it to the appropriate target points for conducting surveys.…”

Decision-Making Research on Tour Lines of Tourist-Dedicated Train Based on Vague Sets and Prospect Theory

“…Duarte-Duarte et al [2] proposed that the similarity between tourist attractions can be identified by clustering technology. He considered that the eight factors of natural, cultural, tourist plant, infrastructure, superstructure, accessibility, human and tourist capital, and security were the key indices affecting the line selection of tourist lines, and evaluated the tourist routes by clustering technology evaluation method.…”