Los datos geolocalizados de las redes sociales en el estudio de cuestiones urbanas complejascinco temas, cinco redes

  1. Pablo Martí Ciriquián
  2. Almudena Nolasco-Cirugea
  3. Leticia Serrano-Estrada
Revista:
ACE: architecture, city and environment

ISSN: 1886-4805

Año de publicación: 2019

Número: 41

Páginas: 83

Tipo: Artículo

DOI: 10.5821/ACE.14.41.8217 DIALNET GOOGLE SCHOLAR lock_openUPCommons editor

Otras publicaciones en: ACE: architecture, city and environment

Objetivos de desarrollo sostenible

Resumen

Objective Geolocated data generated by social networks allow various kinds of urban-related issues to be addressed, broadening knowledge on the different dynamics that occur in the city. This study has a twofold objective: (1) to identify which data variables from five well known social networks —Foursquare, Instagram, Twitter, Google Places and Airbnb—offerpotential insights on the study of specific urban phenomena; and, (2) to delve into five exemplary urban topics that can be tackled by analysing the data from these social networks. Methodology Social media are analysed and specific urban issues that can be assessed through their data variables are identified. Specifically, five themes that encompass several research issues are identified through the combination of different data variables. Conclusions Data generated in social networks used for urban studypurposes provide a valuable opportunity to address issues such as: [1] the use and preference for certain activities and places; [2] the image and perception of urban spaces; [3] spatiotemporal patterns of people presence and urban space-use; [4] supply and demand of economic activity; and, [5] identification of areas of concentration and specialization in the city. Originality This up to date and easily accessible information provides a thorough picture of complex issues in relation to urban dynamics that, until recently, were not easily measurable and quantifiable. Thus, the interpretation of these data broadens knowledge on city dynamics that can be useful for decision-making processes in the planning and design of the city.

€ Ver financiación

Información de financiación

Este trabajo está financiado por la Conselleria d’ Educació, Investigació, Cultura i Esport de la Generalitat Valenciana, dentro del marco del proyecto de investigación “Las ciudades de la Comunidad Valenciana a través de datos geolocalizados de redes sociales y servicios web”, referencia AICO/2017/018.

Financiadores

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Fuente de los datos: Dialnet