Tweets geolocalizados para la movilidad diariametodología de análisis y detección de residencias en el área urbana de Valencia

  1. Zornoza Gallego, Carmen 1
  2. Salom Carrasco, Julia 1
  1. 1 Universidad de Valencia (España)
Revista:
BAGE. Boletín de la Asociación Española de Geografía

ISSN: 0212-9426,  2605-3322

Any de publicació: 2018

Número: 79

Tipus: Article

DOI: 10.21138/BAGE.2464 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Altres publicacions en: BAGE. Boletín de la Asociación Española de Geografía

Objectius de Desenvolupament Sostenible

Resum

Geolocalized data from social network Twitter is analyzed with the aim of studying its possible use in a daily mobility pattern investigation. The area for the practical application is Valencia’s urban area, Spain. Based on the previous analysis, a methodological proposal is created to the use of data, focused on the detection of the user’s home location, a core information in a mobility study. The proper adjustment of the results with the sources of evidences validates the methodology and shows that the possibilities of this information are vast.

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Fuente de los datos: Dialnet