Application of Big Data and Artificial Intelligence in Tourism

Dear Colleagues,

With the growth of big data, artificial intelligence (AI) and Information Technologies, many cities and stakeholders around the world are using artificial intelligence and big data technologies to help them better understand tourists and their needs in order to effectively pinpoint marketing campaigns and manage tourism. The availability of big data resources and technologies allows them to obtain new insight, incorporate new measures, which are achievable only using big data analysis, and also assess traditional indicators, such as a tourism destination’s image, with new measures. Moreover, these insights can help them to make informed decisions based on analytics and data-driven processes, improving their services and their business operations. In addition, big data and artificial intelligence may be used to measure and create more sustainable tourism, which is in the interest of tourists and service providers.

In recent years, substantial research efforts have demonstrated the usefulness of these technologies in understanding tourists' perceptions, behaviours, and preferences, as well as forecasting tourist demands and accessing tourism environment impacts. However, there are so many unexplored potential applications of these technologies in tourism. Therefore, the focus of this Special Issue is on the innovative application of artificial intelligence and big data analysis in tourism, in general, and sustainable tourism, in particular.

Topics to be covered in this Special Issue include, but are not limited to, the following areas:

• Big data and AI and their impacts on introducing new measures and research directions in tourism.
• Novel big data collection, mining and visualisation methods in tourism.
• big data and AI in understanding tourist behaviour, patterns, percentages, hotspots, perception and sentiments.
• big data and AI in the analysis of a tourism destination’s image, destination marketing and loyalty.
• Big data and AI for tourism and travel demand forecasting.
• Big data and AI for assessing and forecasting the environmental impacts of tourism.
• Big data and AI in economical tourism modelling and forecasting.
• Big data and AI in tourism planning.
• Big data and AI for tourism sustainability.

Dr. Ali Reza Alaei
Dr. Vinh Bui
Dr. Huy Quan Vu
Guest Editors

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• big data
• artificial intelligence
• tourism and hospitality
• application of technology in tourism