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Agent-based modeling of tourist flow distribution based on the analysis of tourist preferences

Авторы

Kirillov D.S., Burlutskaya Zh.V., Gintciak A.M., Zubkova D.A.
Lecture Notes in Networks and Systems. 2023. Т. 684 LNNS. С. 360–369. DOI: 10.1007/978-3-031-32719-3_27.

Краткое описание

The purpose of this research is to develop of the structure of the agent-based model for the analysis of tourist demand. Within the study, the tourism industry is considered as a system based on the interaction of tourists and destinations. Thus, the analysis of tourist demand is based on the ability of destinations to meet the needs of tourists. This approach allows to evaluate services from the point of view of consumer value. The resulting approach includes three enlarged types of tourists, and five destinations close to real resorts of the Russian Federation. Both tourists and destinations act as agents and have their own needs. Special attention was paid to the description of the tourists’ strategies which define the visit of a particular destination. As part of the study, articles from the Scopus database were analyzed to highlight the advantages of existing models. The designed approach combines these advantages at the same time it is more flexible because considers a variety of types of recreation. As a result, a formal description of the tourists’ choice of destinations was developed as the sum of destinations features taken in proportion to their significance with consideration to the phenomenon of inertia and the destinations ability to change their parameters. Within the framework of the study, the mobile operator data is considered as an alternative data source for the development of the agent-based model. As part of further research, it is planned to implement this model in a program code and test it on real data from mobile operators.

Ключевые слова

information systems, information systems applications, decision support systems, agent-based model tourism, mobile network operators’ data, simulation modeling

Kirillov D.S., Burlutskaya Zh.V., Gintciak A.M., Zubkova D.A. Agent-based modeling of tourist flow distribution based on the analysis of tourist preferences // Lecture Notes in Networks and Systems. 2023. Т. 684 LNNS. С. 360–369. DOI: 10.1007/978-3-031-32719-3_27.