Agent-Based Modelling for Sustainable Tourism

Stefanie Wallinger (), Lukas Grundner (), Ivan Majic () and Thomas J. Lampoltshammer ()
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Stefanie Wallinger: FH Salzburg
Lukas Grundner: FH Salzburg
Ivan Majic: Graz University of Technology
Thomas J. Lampoltshammer: University for Continuing Education Krems

A chapter in Information and Communication Technologies in Tourism 2023, 2023, pp 355-360 from Springer

Abstract: Abstract Agent-based modelling (ABM) is a computer-based system to simulate the interactions, relationships and behavior of individual agents in a defined spatial context. Due to its stochastic and heterogenic nature, the method has the potential to represent the complexity of the tourism system with a broad range of possible applications. In the context of visitor flow management for instance, ABM can function as a possible decision support tool for policy makers to better understand and evaluate the dynamics of future scenarios and proposed policy changes towards a more economically, socially and environmentally resilient tourism development altogether. The following paper discusses the potential and implications of agent-based models in tourism research with a complex system approach in regard to ABM’s inherent elements of agents, interactions and environment. It introduces the planned application of ABM in an ongoing project dealing with visitor flows in an urban as well as rural destination context and draws up possible implications for sustainable tourism development.

Keywords: ABM; AI; Visitor flow management; Sustainable tourism (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-25752-0_40

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DOI: 10.1007/978-3-031-25752-0_40

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