Applying Smarta to the analysis of tourist networks

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Title: Applying Smarta to the analysis of tourist networks
Authors: Lloret-Climent, Miguel | Nescolarde-Selva, Josué Antonio | Alonso-Stenberg, Kristian | Montoyo, Andres | Gutiérrez, Yoan
Research Group/s: Sistémica, Cibernética y Optimización (SCO) | Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
Center, Department or Service: Universidad de Alicante. Departamento de Matemática Aplicada | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Attractor | Benidorm | Destination life cycle | Networks | Smarta
Knowledge Area: Matemática Aplicada | Lenguajes y Sistemas Informáticos
Issue Date: 7-Dec-2021
Publisher: John Wiley & Sons
Citation: Mathematical Methods in the Applied Sciences. 2022, 45(7): 3921-3932. https://doi.org/10.1002/mma.8023
Abstract: The framework of the present study was the destination life cycle model, a classical model that describes the development of tourist destinations. We examined mass tourism in Benidorm based on tourist accommodation supply and demand statistics over the January 2016 to October 2018 period, provided by Spain's National Institute for Statistics. The objective was to analyze the life cycle and competitiveness of Benidorm's tourism system and interpret whether the tourism product was sustainable and at what stage in the cycle Benidorm is currently in. To do this, we used Smarta software, which, based on network analysis, enables to interpret the system's virtuous cycles and analyze causality by observing relationship patterns in the system's attractors, thus complementing typical processing based on causal maps and the study of social networks. The results obtained by this application (which has been developed by our research team) show six sets of attractors that mark the trends of the tourist system. Finally, the analysis of the significant variables of these attractors has helped us to justify that the tourist system of Benidorm is in the rejuvenation phase.
Sponsor: This work was supported by the Ministry of Economy and Business (Government of Spain), under the project RTI2018-094653-B-C22; and the University of Alicante, under the project UAPOSTCOVID19-11.
URI: http://hdl.handle.net/10045/120751
ISSN: 0170-4214 (Print) | 1099-1476 (Online)
DOI: 10.1002/mma.8023
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2021 John Wiley & Sons, Ltd.
Peer Review: si
Publisher version: https://doi.org/10.1002/mma.8023
Appears in Collections:INV - GPLSI - Artículos de Revistas
INV - SYC - Artículos de Revistas

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