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.
Original language | English |
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Title of host publication | Intelligent Transport Systems |
Subtitle of host publication | 6th EAI International Conference, INTSYS 2022 Lisbon, Portugal, December 15–16, 2022 Proceedings |
Editors | Ana Lucia Martins, João C. Ferreira, Ulpan Tokkozhina, Alexander Kocian |
Place of Publication | Gewerbestrasse, Cham, Switzerland |
Publisher | Springer Science and Business Media Deutschland GmbH |
Chapter | 3 |
Pages | 40-54 |
Number of pages | 15 |
ISBN (Electronic) | 978-3-031-30855-0 |
ISBN (Print) | 978-3-031-30854-3 |
DOIs | |
Publication status | Published - 1 May 2023 |
Event | 6th International Conference on Intelligent Transport Systems, INTSYS 2022 - ISCTE - Instituto Universitário de Lisboa, Lisbon, Portugal Duration: 15 Dec 2022 → 16 Dec 2022 Conference number: 6 https://futuretransport.eai-conferences.org/2022/ |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
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Publisher | Springer |
Volume | 486 LNICST |
ISSN (Print) | 1867-8211 |
ISSN (Electronic) | 1867-822X |
Conference
Conference | 6th International Conference on Intelligent Transport Systems, INTSYS 2022 |
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Abbreviated title | INTSYS 2022 |
Country/Territory | Portugal |
City | Lisbon |
Period | 15/12/22 → 16/12/22 |
Internet address |
Keywords
- smartphone data
- urban mobility
- visualisation
- point of interest
- DBSCAN
- PRISMA
- CRISP-DM