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The use of public spaces in a medium-sized city: from Twitter data to mobility patterns

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  • María Henar Salas-Olmedo
  • Carolina Rojas Quezada

Abstract

This research evidences the usefulness of open big data to map mobility patterns in a medium-sized city. Motivated by the novel analysis that big data allow worldwide and in large metropolitan areas, we developed a methodology aiming to complement origin-destination surveys with à la carte spatial boundaries and updated data at a minimum cost. This paper validates the use of Twitter data to map the impact of public spaces on the different parts of the metropolitan area of Concepción (MAC), Chile. Results have been validated by local experts and evidence the main mobility patterns towards spaces of social interaction like malls, leisure areas, parks and so on. The Main Map represents the mobility patterns from census districts to different categories of public spaces with schematic lines at the metropolitan scale and it is centred in the city of Concepción (Chile) and its surroundings (∼10 kilometres).

Suggested Citation

  • María Henar Salas-Olmedo & Carolina Rojas Quezada, 2017. "The use of public spaces in a medium-sized city: from Twitter data to mobility patterns," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 40-45, January.
    • Handle: RePEc:taf:tjomxx:v:13:y:2017:i:1:p:40-45
    DOI: 10.1080/17445647.2017.1305302
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    References listed on IDEAS

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    1. Qunying Huang & David W. S. Wong, 2015. "Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(6), pages 1179-1197, November.
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    Cited by:

    1. Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.
    2. Amparo Moyano & Marcin Stępniak & Borja Moya-Gómez & Juan Carlos García-Palomares, 2021. "Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods," Transportation, Springer, vol. 48(6), pages 3301-3324, December.

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