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

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Intelligent Transport Systems (INTSYS 2022)

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Abstract

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.

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Acknowledgements

This work is partially funded by national funds through FCT - Fundação para a Ciência e Tecnologia, I.P., under the project FCT UIDB/04466/2020.

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Authors and Affiliations

  1. Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, 1649-026, Lisbon, Portugal

    Daniel Leal, Miguel Sales Dias & João Carlos Ferreira

  2. NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312, Lisbon, Portugal

    Vitória Albuquerque

  3. INOV INESC Inovação—Instituto de Novas Tecnologias, 1000-029, Lisbon, Portugal

    João Carlos Ferreira

Authors
  1. Daniel Leal
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  2. Vitória Albuquerque
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  3. Miguel Sales Dias
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  4. João Carlos Ferreira
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Corresponding author

Correspondence to Miguel Sales Dias .

Editor information

Editors and Affiliations

  1. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Ana Lucia Martins

  2. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Joao C. Ferreira

  3. University of Pisa, Pisa, Italy

    Alexander Kocian

  4. Iscte-Instituto Universitário de Lisboa, Lisbon, Portugal

    Ulpan Tokkozhina

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Leal, D., Albuquerque, V., Dias, M.S., Ferreira, J.C. (2023). Analyzing Urban Mobility Based on Smartphone Data: The Lisbon Case Study. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U. (eds) Intelligent Transport Systems. INTSYS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-30855-0_3

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  • DOI: https://doi.org/10.1007/978-3-031-30855-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30854-3

  • Online ISBN: 978-3-031-30855-0

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