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Movilidad urbana y datos de alta frecuencia
[Urban mobility and high frequency data]

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  • Gutiérrez, Antonio

Abstract

Urban mobility patterns are changing as a response to new behaviours in cities. With more journeys, increased demand for motorised vehicles and longer distances to travel the need to study urban mobility is necessary to guide society towards a more sustainable horizon. Big Data and the digital footprint of people and vehicles have created a new source of appropriate information for urban mobility studies. Therefore, this article presents the different tools that offer high-frequency and spatial-temporal resolution data along with a review of the literature that uses these datasets in urban mobility research.

Suggested Citation

  • Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:114854
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    References listed on IDEAS

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    More about this item

    Keywords

    urban mobility; social network; big Data;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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