Agent-Based Modelling for Sustainable Tourism

Stefanie Wallinger; Lukas Grundner; Ivan Majic; Thomas J. Lampoltshammer

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

Agent-Based Modelling for Sustainable Tourism

Stefanie Wallinger
, Lukas Grundner
, Ivan Majic
, Thomas J. Lampoltshammer

Business and Tourism

Institute of Geodesy, Research Group Geoinformation, Graz University of Technology
Department for E-Governance and Administration, University for Continuing Education Krems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Information and Communication Technologies in Tourism 2023
Subtitle of host publication	Proceedings of the ENTER 2023 eTourism Conference, January 18-20, 2023
Pages	355–360
DOIs	https://doi.org/10.1007/978-3-031-25752-0_40
Publication status	Published - 2023
Event	30th Annual International eTourism Conference, ENTER 2023 - Johannesburg, South Africa Duration: 18 Jan 2023 → 20 Jan 2023

Conference

Conference	30th Annual International eTourism Conference, ENTER 2023
Abbreviated title	ENTER 2023
Country/Territory	South Africa
City	Johannesburg
Period	18/01/23 → 20/01/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

Keywords

ABM
AI
Visitor flow management
Sustainable tourism

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

Not applicable

Applied Research Level (ARL)

Not applicable

Research focus/foci

Not applicable

Access to Document

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

Cite this

@inproceedings{78120e8c3d404e1a81eeec0f44dd0405,

title = "Agent-Based Modelling for Sustainable Tourism",

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{\textquoteright}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",

author = "Stefanie Wallinger and Lukas Grundner and Ivan Majic and Lampoltshammer, \{Thomas J.\}",

year = "2023",

doi = "10.1007/978-3-031-25752-0\_40",

language = "English",

pages = "355–360",

booktitle = "Information and Communication Technologies in Tourism 2023",

note = "30th Annual International eTourism Conference, ENTER 2023, ENTER 2023 ; Conference date: 18-01-2023 Through 20-01-2023",

}

Wallinger, S, Grundner, L, Majic, I & Lampoltshammer, TJ 2023, Agent-Based Modelling for Sustainable Tourism. in Information and Communication Technologies in Tourism 2023: Proceedings of the ENTER 2023 eTourism Conference, January 18-20, 2023. pp. 355–360, 30th Annual International eTourism Conference, ENTER 2023, Johannesburg, South Africa, 18/01/23. https://doi.org/10.1007/978-3-031-25752-0_40

TY - GEN

T1 - Agent-Based Modelling for Sustainable Tourism

AU - Wallinger, Stefanie

AU - Grundner, Lukas

AU - Majic, Ivan

AU - Lampoltshammer, Thomas J.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - ABM

KW - AI

KW - Visitor flow management

KW - Sustainable tourism

UR - https://doi.org/10.1007/978-3-031-25752-0_40

U2 - 10.1007/978-3-031-25752-0_40

DO - 10.1007/978-3-031-25752-0_40

M3 - Conference contribution

SP - 355

EP - 360

BT - Information and Communication Technologies in Tourism 2023

T2 - 30th Annual International eTourism Conference, ENTER 2023

Y2 - 18 January 2023 through 20 January 2023

ER -

Agent-Based Modelling for Sustainable Tourism

Abstract

Conference

UN SDGs

Keywords

Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)

Applied Research Level (ARL)

Research focus/foci

Access to Document

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Cite this