Use and validation of location-based services in urban research: An example with Dutch restaurants

Daniel Arribas-Bel, Jessie Bakens

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This article focuses on the use of big data for urban geography research. We collect data from the location-based service Foursquare in The Netherlands and employ it to obtain a rich catalogue of restaurant locations and other urban amenities, as well as a measure of their popularity among users. Because the Foursquare data can be combined with traditional sources of socio-economic data obtained from Statistics Netherlands, we can quantify, document and characterise some of the biases inherent in these new sources of data in the context of urban applications. A detailed analysis is given as to when this type of big data is useful and when it is misleading. Although the users of Foursquare are not representative of the whole population, we argue that this inherent bias can be exploited for research about the attractiveness of urban landscapes and consumer amenities in addition to the more traditional data on urban amenities.
Original languageEnglish
Pages (from-to)868-884
Number of pages17
JournalUrban Studies
Volume56
Issue number5
DOIs
Publication statusPublished - Apr 2019

Keywords

  • foursquare
  • diversity/cohesion/segregation
  • method
  • neighbourhood
  • urban amenities
  • diversity
  • CONSUMER
  • cohesion
  • segregation
  • Foursquare

Cite this

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title = "Use and validation of location-based services in urban research: An example with Dutch restaurants",
abstract = "This article focuses on the use of big data for urban geography research. We collect data from the location-based service Foursquare in The Netherlands and employ it to obtain a rich catalogue of restaurant locations and other urban amenities, as well as a measure of their popularity among users. Because the Foursquare data can be combined with traditional sources of socio-economic data obtained from Statistics Netherlands, we can quantify, document and characterise some of the biases inherent in these new sources of data in the context of urban applications. A detailed analysis is given as to when this type of big data is useful and when it is misleading. Although the users of Foursquare are not representative of the whole population, we argue that this inherent bias can be exploited for research about the attractiveness of urban landscapes and consumer amenities in addition to the more traditional data on urban amenities.",
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Use and validation of location-based services in urban research: An example with Dutch restaurants. / Arribas-Bel, Daniel; Bakens, Jessie.

In: Urban Studies, Vol. 56, No. 5, 04.2019, p. 868-884.

Research output: Contribution to journalArticleAcademicpeer-review

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