With more than 8 million of visitors every year, the touristic sector represents almost the 30% of the economy of Andorra. By gathering and analyzing the data from social media, call detail records and wifi, we can understand the country's dynamics of tourism and commerce, and design interventions that can improve the experience of tourists, encouraging them to visit more often Andorra, stay longer, and increase spending.
Based on the analysis of Call Detail Records and Social Media, the goal of this project is to understand the tourist behaviors in Andorra.
After mining those anonymized data we have been able to learn different patterns and behaviors of the tourism in Andorra thanks to an agent-based model developped in order to represent the flow of people. This simulation is also coupled with an interactive table called CityMatrix.
The goal of this project is to let users discover the different parishes of Andorra through social media, and to allow professionals to uncover some areas of the tourism business in Andorra where improvements can be made.
Location Recommendation system
Based on the analysis of Call Detail Records and Social Media, the goal of this project is to predict the tourist behaviors and routes in Andorra and finally develop a better targeted tourist attraction recommendation system.
Contributors: Naichun Chen, Yan Leng, Alejandro Noriega, Joseph Cunningham, Reijul Sachdev.