Utilizing Urban Geospatial Data to Understand Heritage Attractiveness in Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

6 Downloads (Pure)

Abstract

Touristic cities are home to historical landmarks and irreplaceable urban heritages. Although tourism brings financial advantages, mass tourism creates pressure on historical cities. Therefore, “attractiveness” is one of the key elements to explain tourism dynamics. User-contributed and geospatial data provide an evidence-based understanding of people’s responses to these places. In this article, the combination of multisource information about national monuments, supporting products (i.e., attractions, museums), and geospatial data are utilized to understand attractive heritage locations and the factors that make them attractive. We retrieved geotagged photographs from the Flickr API, then employed density-based spatial clustering of applications with noise (DBSCAN) algorithm to find clusters. Then combined the clusters with Amsterdam heritage data and processed the combined data with ordinary least square (OLS) and geographically weighted regression (GWR) to identify heritage attractiveness and relevance of supporting products in Amsterdam. The results show that understanding the attractiveness of heritages according to their types and supporting products in the surrounding built environment provides insights to increase unattractive heritages' attractiveness. That may help diminish the burden of tourism in overly visited locations. The combination of less attractive heritage with strong influential supporting products could pave the way for more sustainable tourism in Amsterdam
Original languageEnglish
Article number198
Number of pages22
JournalISPRS International Journal of Geo-Information
Volume10
Issue number4
DOIs
Publication statusPublished - 25 Mar 2021

Keywords

  • location-based social media data
  • urban geospatial data
  • Flickr data
  • heritage
  • spatial analysis
  • DBSCAN
  • OLS
  • GWR

Fingerprint Dive into the research topics of 'Utilizing Urban Geospatial Data to Understand Heritage Attractiveness in Amsterdam'. Together they form a unique fingerprint.

Cite this