Tracing tourism geographies with Google Trends: A Dutch case study

Andrea Ballatore*, S. Scheider, B. Spierings

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Search engines make information about places available to billions of users, who explore geographic information for a variety of purposes. The aggregated, large-scale search behavioural statistics provided by Google Trends can provide new knowledge about the spatial and temporal variation in interest about places.
Such search data can provide useful knowledge for tourism management, especially in relation to the current crisis of tourist (over)crowding, capturing intense spatial concentrations of interest. Taking the Amsterdam metropolitan area as a case study and Google Trends as a data source, this article studies the spatial and temporal variation in interest about places at multiple scales, from 2007 to 2017. First, we analyze the global interest in the Netherlands and Amsterdam, comparing it with hotel visit data. Second, we compare interest in municipalities, and observe changes within the same municipalities. This interdisciplinary study shows how search data can trace new geographies between the interest origin (what place users search from) and the interest destination (what place users search for), with potential applications to tourism management and cognate disciplines.
Original languageEnglish
Title of host publicationGeospatial technologies for local and regional development
Subtitle of host publicationThe Annual International Conference on Geographic Information Science 2019
EditorsP Kyriakidis, D Hadjimitsis, D Skarlatos, A Mansourian
PublisherSpringer
Pages145-163
ISBN (Electronic)978-3-030-14745-7
ISBN (Print)978-3-030-14744-0
DOIs
Publication statusPublished - 16 Apr 2019

Publication series

NameLecture Notes in Geoinformation and Cartography
PublisherSpringer
ISSN (Print)1863-2246

Keywords

  • Interest geography
  • Place search
  • Web science
  • Google
  • Trends
  • Tourism
  • Amsterdam
  • Netherlands

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