Geo Data Science for Tourism

Dear Colleagues, 

The hospitality and tourism industries are considered as critical parts of the economy of a Country. Thanks to the availability of a huge quantity of geographical data, such industries can offer high-quality Web applications, which improve the attractiveness of tourism destinations as well as all the businesses related to tourism. In addition, the use of Web applications for tourism helps to understand tourists behavior, by managing, analyzing and visualizing huge quantities of geographical data, such as those contained in reviews about accommodations. However, Web applications applied to the tourism domain present several issues and challenges, such as their durability and copyright related to collected data. The use of open data for tourism (e.g. accommodations, restaurants, attractions, events, transportations) and open source maps to represent geographical data can be an answer to all these challenges. 

This Special Issue calls for research articles related to novel approaches to geographical data collection, analysis and visualization related to the design and implementation of Web applications in the tourism domain. Original contributions that report on real experiences and use cases in the usage of any kind of geo data in the tourism domain are also encouraged. 

While not excluding the possibility of presenting works on other topics regarding tourism, the specific topics of interest of this Special Issue are the following:

1. Issues, challenges and solutions related to geographical data in the tourism domain
2. Data Collection, Cleaning, Enrichment, Integration and Visualization of tourism geographical datasets
3. Copyright issues related to the publication and use of collected geographical datasets of tourism entities
4. Data Matching techniques for tourism entities based on geographical information (address, coordinates, geographical areas) for integrating two or more datasets
5. Text Analysis of tourism entities reviews based on customer nationality
6. Time Series analysis and forecasting related to tourism data of different geographical areas
7. Machine Learning and Deep Learning Analysis of geographical datasets related to the tourism domain
8. Web applications for tourism based on geographical maps
9. Comparison among different open map services for tourism
10. Analysis and Impact of the COVID-19 pandemic on tourism

Dr. Andrea Marchetti
Dr. Angelica Lo Duca
Guest Editors

Manuscript Submission Information

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