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Modelling Tourism in the Galapagos Islands: An Agent-Based Model Approach

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Currently tourism is the main driver of change in the Galapagos Islands, affecting the social, terrestrial, and marine sub-systems. Tourism also has direct and indirect consequences for the unique archipelago’s natural habitats and for the human well-being. Describing the mechanisms that drive and affect most the tourism development in Galapagos is a preliminary condition to developing a better understanding of the interaction structure of factors that shape the Galapagos archipelago as a social-ecological complex system. In this paper, we present a first attempt to represent the touristic market in Galapagos trough an Agent Based Model (ABM) of touristic activity, focusing on touristic offers, reservations, and touristic activities. The model is based on an individual-based representation of tourists’ consumption preferences and touristic accommodation offers in the Galapagos Islands. Tourist agents are created to mimic the real world by assigning average characteristics of individuals who visit the Galapagos Archipelago of Ecuador. The accommodation offers (i.e., hotels and cruises) are generated in accordance with actual conditions derived from data collected through field surveys. The model includes a market agent that can change the prices, create and delete accommodation offers following an evolutionary algorithm. We carried out preliminary simulations that show a close agreement between real world data and model outputs. Furthermore we used the model to generate three “what if†scenarios in order to study how emergent patterns in the touristic market in Galapagos are affected by changes in the archipelago environment. In this way we illustrate how the model can be used as a useful tool to help public policy makers to explore the consequences of their decisions.

Suggested Citation

  • Francesco Pizzitutti & Carlos F. Mena & Stephen J. Walsh, 2014. "Modelling Tourism in the Galapagos Islands: An Agent-Based Model Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-14.
  • Handle: RePEc:jas:jasssj:2013-12-3
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    Citations

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    Cited by:

    1. Baggio, Rodolfo & Sainaghi, Ruggero, 2016. "Mapping time series into networks as a tool to assess the complex dynamics of tourism systems," Tourism Management, Elsevier, vol. 54(C), pages 23-33.
    2. Kamila Štekerová & Josef Zelenka & Milan Kořínek, 2022. "Agent-Based Modelling in Visitor Management of Protected Areas," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    3. Baggio, Rodolfo, 2020. "Tourism destinations: A universality conjecture based on network science," Annals of Tourism Research, Elsevier, vol. 82(C).
    4. Maria Kuklina & Andrey Trufanov & Tuyana Bayaskalanova & Nina Urazova & Alexei Tikhomirov & Olga Berestneva & Olga Marukhina & Igor Vidyaev & Oksana Fisochenko & Ivan Lyzin & Elena Berestneva & Nadezh, 2020. "Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    5. Husáková Martina, 2018. "Use of the Multi-Agent Paradigm in Sustainable Tourism," Czech Journal of Tourism, Sciendo, vol. 7(1), pages 5-24, June.
    6. Andrés Pazmiño & Silvia Serrao-Neumann & Darryl Low Choy, 2018. "Towards Comprehensive Policy Integration for the Sustainability of Small Islands: A Landscape-Scale Planning Approach for the Galápagos Islands," Sustainability, MDPI, vol. 10(4), pages 1-29, April.

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