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

Citation

Pizzitutti, Francesco; Mena, Carlos F.; & Walsh, Stephen J. (2014). Modelling Tourism in the Galapagos Islands: An Agent-Based Model Approach. Journal of Artificial Societies and Social Simulation, 17(1), 14.

Abstract

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.

URL

http://jasss.soc.surrey.ac.uk/17/1/14.html

Reference Type

Journal Article

Year Published

2014

Journal Title

Journal of Artificial Societies and Social Simulation

Author(s)

Pizzitutti, Francesco
Mena, Carlos F.
Walsh, Stephen J.

ORCiD

Walsh, S - 0000-0001-6274-9381