Special Issue on "Geo Data Science for Tourism"

Call for Papers

ISPRS International Journal of Geo-Information

ISSN 2220-9964

Special Issue on "Geo Data Science for Tourism"

Submission deadline: June 30, 2021

https://www.mdpi.com/journal/ijgi/special_issues/GIS_tourism [1]

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:

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

If you're interested, we would be happy to hear from you. If you have 
any questions, feel free to contact us. We would be greatly appreciated 
if you could recommend and forward this information to your colleagues 
or friends who might also be interested.

Best regards,

Andrea Marchetti

Angelica Lo Duca

Guest Editors

ISPRS International Journal of Geo-Information

-- 
Angelica Lo Duca, PhD
Institute of Informatics and Telematics
National Research Council
via G. Moruzzi 1, 56124 Pisa (Italy)
Skype, Github, Youtube, Twitter: alod83
https://medium.com/@angelica.loduca

Links:
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[1] https://www.mdpi.com/journal/ijgi/special_issues/GIS_tourism