Agent-Based Modelling in Visitor Management of Protected Areas

Kamila Štekerová, Josef Zelenka () and Milan Kořínek
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Kamila Štekerová: Faculty of Informatics and Management, University of Hradec Králové, 50003 Hradec Kralove, Czech Republic
Josef Zelenka: Faculty of Informatics and Management, University of Hradec Králové, 50003 Hradec Kralove, Czech Republic
Milan Kořínek: Faculty of Informatics and Management, University of Hradec Králové, 50003 Hradec Kralove, Czech Republic

Sustainability, 2022, vol. 14, issue 19, 1-18

Abstract: The research was motivated by the growing importance of visitor management in protected areas, which can be based on knowledge management, system modelling of processes and phenomena, and a deeper knowledge of the experience of visitors in connection with the concept of psychological carrying capacity. The work builds on previous publications and research by the authors, focused on the optimization of tourism impacts, visitor management and the development of the theory and applicability of the concept of carrying capacity. It emphasizes the overview analysis of the possibilities of using agent-based modelling and visualization of visitor flows in protected areas. The analysis of suitable sources was based on the PRISMA method, which showed the main research directions for the use of the agent-based approach in visitor management. For the practical application of modelling, the NetLogo environment was chosen, in which the visitor flows of the model area were simulated. The visitor attendance was evaluated in relation to the psychological carrying capacity. Subsequently, visitor management measures were implemented in the model, and repeated simulations of visitor attendance, based on monitored flows, were run for a specific location around Oheb Castle (the Železné hory/Iron Mountains, Bohemia). The main result is the innovative use of agent-based modelling in visitor management in the context of visitor experience, visitor satisfaction and psychological carrying capacity. The contribution of the presented research is also the proposal of future research directions for more accurate use of psychological carrying capacity in visitor management.

Keywords: protected area; visitor management; destination marketing; agent-based model; psychological carrying capacity; social carrying capacity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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