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Francisco, B., Ribeiro, R., Batista, F. & Ferreira, J. (2023). Analysis of the tourist’s behavior in Lisbon using data from a mobile operator. In Martins, A. L., Ferreira, J. C., Kocian, A., and Tokkozhina, U. (Ed.), Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. (pp. 3-22). Lisboa: Spinger.

B. Francisco et al.,  "Analysis of the tourist’s behavior in Lisbon using data from a mobile operator", in Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Martins, A. L., Ferreira, J. C., Kocian, A., and Tokkozhina, U., Ed., Lisboa, Spinger, 2023, vol. 486, pp. 3-22

@inproceedings{francisco2023_1734887586564,
	author = "Francisco, B. and Ribeiro, R. and Batista, F. and Ferreira, J.",
	title = "Analysis of the tourist’s behavior in Lisbon using data from a mobile operator",
	booktitle = "Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
	year = "2023",
	editor = "Martins, A. L., Ferreira, J. C., Kocian, A., and Tokkozhina, U.",
	volume = "486",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-30855-0_1",
	pages = "3-22",
	publisher = "Spinger",
	address = "Lisboa",
	organization = "",
	url = "https://link.springer.com/book/10.1007/978-3-031-30855-0"
}

TY  - CPAPER
TI  - Analysis of the tourist’s behavior in Lisbon using data from a mobile operator
T2  - Intelligent Transport Systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
VL  - 486
AU  - Francisco, B.
AU  - Ribeiro, R.
AU  - Batista, F.
AU  - Ferreira, J.
PY  - 2023
SP  - 3-22
SN  - 1867-8211
DO  - 10.1007/978-3-031-30855-0_1
CY  - Lisboa
UR  - https://link.springer.com/book/10.1007/978-3-031-30855-0
AB  - This paper aims to provide to all entities involved in Lisbon tourism activities a geospatial, statistical, and longitudinal analysis tool based on data provided by a mobile operator in cooperation with Lisbon City council, which allows obtaining knowledge about the behaviors and habits of tourists and visitors of the city. The main intention is to provide information that allows decision-makers to base their choices on real data and facts instead of empirical knowledge and non-sustained information The work was mainly developed in three distinct phases. On the first phase, it was necessary to create knowledge about the tourism business and understand the available data to understand whether they would be able to answer our questions. In the next phase, the dataset was prepared and adapted to our needs - the data given to us had information regarding both mobile phones belonging to Portuguese and foreign users. Considering that our focus was on second group, part of the information was discarded.
Through the work developed, it was possible to identify which countries and geographical areas come from Lisbon’s tourists and visitors. Additionally, we were able to identify, through the available data, the most visited places, and parishes in the city, as well as the place where they eat and sleep when they are in the city. It was also possible to characterize how events such as the Web Summit or a football game influence the behavior and movements of visitors in Lisbon.
The analyses and information provided were duly validated by specialists from the Lisbon Municipal Council, through presentations and questionnaires to decision-makers and users of the developed solution.
ER  -