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A New Tool Based on GIS Technology for Massive Public Transport Data

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Advances in Model and Data Engineering in the Digitalization Era (MEDI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1751))

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Abstract

In this work, we present the design of a novel geographic information tool for the analysis of public transportation data.

The widespread integration of user traveler cards have enabled public transport operators to generate and store large amounts of data related to user movements within the transport network. However, these authorities are seldom equipped to efficiently exploit these data in order to produce a comprehensible analysis of the transport network usage. This is not only due to the sheer amount of data in need of processing, but also because most public transport operators only validate the travel card on boarding, whereas data referring to transfers and alightings are generally unavailable.

Thus, the system we propose not only addresses efficient storage and exploitation of big datasets, but also the reconstruction of complete journeys by using a prediction algorithm to deduce the alighting stop for each boarding. Furthermore, we also provide the transport operators with easy-to-use means of visualizing and analyzing the data through a graphical interface.

This work was supported by the CITIC research center funded by Xunta de Galicia, FEDER Galicia 2014-2020 80%, SXU 20% [ED431G 2019/01 (CSI)]; Partially funded by [RTI-2018-098309-B-C32]; MCIN/ AEI/10.13039/501100011033 [PID2020-114635RB-I00], [PID2019-105221RB-C41], [PDC2021-120917-C21], [PDC2021-121239-C31]; by GAIN/Xunta de Galicia [ED431C 2021/53] GRC; by Xunta de Galicia/Igape [IG240.2020.1.185]; by [IN852D 2021/3] CO3, UE, (FEDER), GAIN, Convocatoria Conecta COVID and by Xunta de Galicia [ED481A/2021-183].

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Notes

  1. 1.

    https://www.crtm.es/.

  2. 2.

    2020 was excluded from the analysis due to the anomalous use of the network caused by the pandemic scenario.

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Acknowledgments

We wish to acknowledge the cession of the data and support of the Consorcio Regional de Transportes de Madrid (https://www.crtm.es/), especially Juan Elices Torrente and Luís Criado Fernández.

Author information

Authors and Affiliations

  1. Universidade da Coruña, Centro de investigación CITIC, A Coruña, Spain

    Nieves R. Brisaboa, Guillermo de Bernardo, Pablo Gutiérrez-Asorey, José R. Paramá, Tirso V. Rodeiro & Fernando Silva-Coira

Authors
  1. Nieves R. Brisaboa
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  2. Guillermo de Bernardo
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  3. Pablo Gutiérrez-Asorey
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  4. José R. Paramá
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  5. Tirso V. Rodeiro
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  6. Fernando Silva-Coira
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Corresponding author

Correspondence to Pablo Gutiérrez-Asorey .

Editor information

Editors and Affiliations

  1. Shenzhen University, Shenzhen, China

    Philippe Fournier-Viger

  2. Nile University, Giza, Egypt

    Ahmed Hassan

  3. ISAE-ENSMA, Poitiers, France

    Ladjel Bellatreche

  4. University of Tartu, Tartu, Estonia

    Ahmed Awad

  5. Mohammed V University, Rabat, Morocco

    Abderrahim Ait Wakrime

  6. LIAS/ISAE-ENSMA, Futuroscope, France

    Yassine Ouhammou

  7. University of Paris-Saclay, Gif-sur-Yvette, France

    Idir Ait Sadoune

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Brisaboa, N.R., de Bernardo, G., Gutiérrez-Asorey, P., Paramá, J.R., Rodeiro, T.V., Silva-Coira, F. (2022). A New Tool Based on GIS Technology for Massive Public Transport Data. In: Fournier-Viger, P., et al. Advances in Model and Data Engineering in the Digitalization Era. MEDI 2022. Communications in Computer and Information Science, vol 1751. Springer, Cham. https://doi.org/10.1007/978-3-031-23119-3_9

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  • DOI: https://doi.org/10.1007/978-3-031-23119-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23118-6

  • Online ISBN: 978-3-031-23119-3

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