Conceptual Framework and Prospective Analysis of EU Tourism Data Spaces

Dolores Ordóñez-Martínez, Joana M. Seguí-Pons and Maurici Ruiz-Pérez ()
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Dolores Ordóñez-Martínez: Anysolution, 07010 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

Sustainability, 2023, vol. 16, issue 1, 1-35

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.

Keywords: tourism data space; smart tourism; smart destination; data sharing DPSIR; data space (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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