Geopark design management based on multimodal 4.0 technology
Keywords:
tourism 4.0, artificial intelligence, sustainability, multimodal technologyAbstract
The growing need to integrate sustainability, technological innovation, and territorial development has driven new ways of conceiving geopark management. In this context, multimodal tourism 4.0 emerges as an integrative approach that combines advanced technologies such as artificial intelligence, data analytics, and augmented reality. The objective of this research is to propose a methodology for geopark design management based on this approach. A mixed-methods, quasi-experimental, cross-sectional study was conducted in the Moa-Baracoa region of Cuba. The sample consisted of 200 participants selected through simple random sampling (100 in Moa and 100 in Baracoa), representing 30% of potential users. The results highlight limitations in traditional management models and demonstrate the feasibility of incorporating multimodal technologies to optimize decision-making. It is concluded that the proposed methodology promotes intelligent, participatory, and sustainable geopark management.
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