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Intersection of Data Science and Smart Destinations: A Systematic Review.
Alexander Aguirre Montero1, José Antonio López-Sánchez2
1Intelligence Tourism and Data Analytics at INDESS (Instituto Universitario de Investigación Para el Desarrollo Social Sostenible) University of Cádiz, Jerez de la Frontera, Spain.
Frontiers in Psychology
|August 16, 2021
Summary
This review explores data science in smart tourism destinations, highlighting key technologies like AI and IoT. Post-COVID-19, these tools are vital for creating sustainable, smarter, and safer tourism models.
Area of Science:
- Data Science
- Tourism Management
- Information Systems
Background:
- Smart tourism destinations integrate data science for enhanced operations and visitor experiences.
- Research on data science in smart tourism has significantly increased since 2015.
Approach:
- Systematic literature review (1995-2021) using bibliometric and conceptual analysis.
- Analysis of Web of Science database articles via VOSviewer and SciMAT software.
- Focus on identifying current trends and components in smart tourism research.
Key Points:
- Key data science technologies include Big Data, IoT, AI, Machine Learning, GIS, and open data.
- Critical research areas are public tourism marketing, mobility-accessibility, and sustainability.
- Over 300 articles published annually indicate growing research interest.
Conclusions:
- Data science offers significant opportunities for smart tourism, especially post-COVID-19.
- There is a need to leverage data for a more sustainable, intelligent, and secure tourism model.
- The integration of data science is crucial for the future of smart tourism destinations.
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