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The Applications of Artificial Intelligence in Tourism

Topic Information

Dear Colleagues,

Recent developments in Artificial Intelligence (AI), primarily due to the widespread use of large language models, are transforming different sectors. In tourism, AI has the potential to enable advanced data-driven decision making, personalize traveler experiences, and optimize operations across industries. AI applications in tourism span a wide array of areas, including visitor behavior analysis, real-time service enhancements, predictive modeling, and destination management. From AI-powered chatbots assisting travelers to machine learning models predicting demand and optimizing resources, AI can potentially reshape how tourism services are delivered and experienced. In this Topic, we spotlight innovative strategies within the tourism sector using AI, covering customer personalization, adaptive marketing, dynamic pricing, cultural heritage preservation, and more. This Topic on “The Applications of Artificial Intelligence in Tourism” offers a platform for publishing comprehensive reviews exploring the benefits and challenges of AI in tourism, as well as original research. We invite contributions with diverse perspectives on AI’s role in evolving and personalizing the tourism experience.

Dr. Angelica Lo Duca
Dr. Jose Berengueres
Topic Editors

Keywords

  • artificial intelligence
  • machine learning
  • predictive analytics
  • tourism
  • data storytelling
  • AI in customer service
  • sustainability in tourism
  • cultural heritage
  • tourism optimization
  • adaptive tourism technology
Graphical abstract

Participating Journals

World
Open Access
405 Articles
Launched in 2020
1.9Impact Factor
-CiteScore
29 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Informatics
Open Access
756 Articles
Launched in 2014
2.8Impact Factor
8.4CiteScore
35 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking
Information
Open Access
5,488 Articles
Launched in 2010
2.9Impact Factor
6.5CiteScore
19 DaysMedian Time to First Decision
Q2Highest JCR Category Ranking

Published Papers