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Conceptual Framework and Prospective Analysis of EU Tourism Data Spaces

Author

Listed:
  • Dolores Ordóñez-Martínez

    (Anysolution, 07010 Palma, Spain
    Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

  • Joana M. Seguí-Pons

    (Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

  • Maurici Ruiz-Pérez

    (Geography Department, University of the Balearic Islands, 07122 Palma, Spain)

Abstract

This article delves deeply into the burgeoning field of Tourism Data Spaces (TDS) in Europe, focusing on how technologies like Big Data and IoT are redefining the tourism sector. This technological shift is steering traditional tourist destinations towards smarter, more sustainable models. The study utilizes a multifaceted approach, combining documentary and bibliographical analysis with empirical data from the EU’s DATES project. By employing the Drivers, Pressures, State, Impacts, Responses (DPSIR) model, it provides a nuanced understanding of the dynamics in TDS. The findings underscore TDS’s pivotal role in improving decision-making and personalizing tourism services. The study also acknowledges the growing need for detailed tourism information to enhance travel planning and experience personalization. Furthermore, it highlights the importance of efficient and secure data management in tourism. This comprehensive analysis points to a future where data-driven insights foster more sustainable, tailored travel experiences. Additionally, the research illuminates both the challenges and prospects inherent in implementing TDS, stressing the importance of clear governance, technical standards, and balancing diverse stakeholder interests in the tourism industry. By addressing these challenges, the article posits that TDS can make a significant contribution to the innovation and sustainability of the tourism sector.

Suggested Citation

  • Dolores Ordóñez-Martínez & Joana M. Seguí-Pons & Maurici Ruiz-Pérez, 2023. "Conceptual Framework and Prospective Analysis of EU Tourism Data Spaces," Sustainability, MDPI, vol. 16(1), pages 1-35, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:371-:d:1311341
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    References listed on IDEAS

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    2. Fanrong Ji & Zhaoyuan Luo & Xiancun Hu & Yunquan Nan & Aifang Wei, 2023. "A DPSIR Framework to Evaluate and Predict the Development of Prefabricated Buildings: A Case Study," Sustainability, MDPI, vol. 15(19), pages 1-17, September.
    3. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
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