Analysing public transport data through the use of big data tecnhologies for urban mobility

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Over the last years, new strategies focusing on mobility have been implemented, especially in big urban areas, in order to solve the mobility problems brought by the urban exodus. The demand for different mobility modes, leads to a complex transportation network that needs to adapt to different mobility requirements. The presented work analyses the current situation of the transportation network of Lisbon's area, where mobility means are provided by different transport operators, private and public, serving a population of around 4M people. The challenge addressed by this work, is to analyze the demand and supply side of the transportation network of Lisbon's metropolitan area, considering ticketing data transactions provided by different transportation operators, which until now, such analyses were essentially obtained through observation methods and questionnaires. This paper explores the ability of Big Data technologies to cope with data collected from transport operators, by inferring automatically and continuously complex mobility patterns in the form of insightful indicators (such as connections, transshipments or pendular movements).

Original languageEnglish
Title of host publicationProceedings - 2019 International Young Engineers Forum, YEF-ECE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-45
Number of pages6
ISBN (Electronic)9781538692820
DOIs
Publication statusPublished - 1 May 2019
Event3rd International Young Engineers Forum, YEF-ECE 2019 - Caparica, Portugal
Duration: 10 May 201910 May 2019

Conference

Conference3rd International Young Engineers Forum, YEF-ECE 2019
CountryPortugal
CityCaparica
Period10/05/1910/05/19

Keywords

  • Big Data Analytics
  • Machine Learning
  • Mobility patterns
  • Ticketing
  • Urban Public Transportation

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  • Cite this

    Antunes, H., Figueiras, P., Costa, R., Teixeira, J., & Jardim-Gonçalves, R. (2019). Analysing public transport data through the use of big data tecnhologies for urban mobility. In Proceedings - 2019 International Young Engineers Forum, YEF-ECE 2019 (pp. 40-45). [8740816] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/YEF-ECE.2019.8740816