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Where to vacation? An agent-based approach to modelling tourist decision-making process

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  • Inês Boavida-Portugal
  • Carlos Cardoso Ferreira
  • Jorge Rocha

Abstract

Agent-based models (ABMs) are becoming more relevant in social simulation due to the potential to model complex phenomena that emerge from individual interactions. In tourism research, complexity is a subject of growing interest and researchers start to analyse the tourism system as a complex phenomenon. However, there is little application of ABMs as a tool to explore and predict tourism patterns. The purpose of the paper is to develop an ABM that increases knowledge in tourism research by (i) considering the complexity of tourism phenomenon, (ii) providing tools to explore the complex relations between system components and (iii) giving insights on the functioning of the system and the tourist decision-making process. A theoretical ABM is developed to improve knowledge on tourist decision-making in the selection of a destination to vacation. Tourists’ behaviour, such as individual motivation, and social network influence in the vacation decision-making process are hereby discussed.

Suggested Citation

  • Inês Boavida-Portugal & Carlos Cardoso Ferreira & Jorge Rocha, 2017. "Where to vacation? An agent-based approach to modelling tourist decision-making process," Current Issues in Tourism, Taylor & Francis Journals, vol. 20(15), pages 1557-1574, November.
    • Handle: RePEc:taf:rcitxx:v:20:y:2017:i:15:p:1557-1574
    DOI: 10.1080/13683500.2015.1041880
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    Cited by:

    1. Mariana Casal-Ribeiro & Inês Boavida-Portugal & Rita Peres & Cláudia Seabra, 2023. "Review of Crisis Management Frameworks in Tourism and Hospitality: A Meta-Analysis Approach," Sustainability, MDPI, vol. 15(15), pages 1-17, August.

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