Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Our paper addresses the mobility patterns in Lisbon in the vicinity of historical and transportation points of interest, with a case study conducted in the parish of Santa Maria Maior, a vibrant touristic neighborhood. We propose a data science-based approach to analyze such patterns. Our dataset includes five months of georeferenced mobile phone data, collected during late 2021 and early 2022, provided by the municipality of Lisbon. We performed a systematic literature review, using the PRISMA methodology and adopted the CRISP-DM methodology, to perform data curation, statistical and clustering analysis, and visualization, following the recommendations of the literature. For clustering we used the DBSCAN algorithm. We found eight clusters in Santa Maria Maior, with outstanding clusters along 28-E tram and Lisbon Cruise Terminal, where mobility is high, particularly for non-roaming travelers. This paper contributes to the digital transformation of Lisbon into a smart city, by improving improved understanding of urban mobility patterns.
Original languageEnglish
Title of host publicationIntelligent Transport Systems
Subtitle of host publication6th EAI International Conference, INTSYS 2022 Lisbon, Portugal, December 15–16, 2022 Proceedings
EditorsAna Lucia Martins, João C. Ferreira, Ulpan Tokkozhina, Alexander Kocian
Place of PublicationGewerbestrasse, Cham, Switzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages15
ISBN (Electronic)978-3-031-30855-0
ISBN (Print)978-3-031-30854-3
Publication statusPublished - 1 May 2023
Event 6th International Conference on Intelligent Transport Systems, INTSYS 2022 - ISCTE - Instituto Universitário de Lisboa, Lisbon, Portugal
Duration: 15 Dec 202216 Dec 2022
Conference number: 6

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume486 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X


Conference 6th International Conference on Intelligent Transport Systems, INTSYS 2022
Abbreviated titleINTSYS 2022
Internet address


  • smartphone data
  • urban mobility
  • visualisation
  • point of interest


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