Exploring the relation between urban landscape service values and different infrastructures through crowdsourced data

This research focuses on exploring and mapping Ankara's urban points of interest and their values on different urban infrastructure types using geolocated data from Flickr. All publicly available data dated between 2005 and 2021 from Flickr were obtained through application programming interfac...

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Published inInternational journal of sustainable development and world ecology Vol. 31; no. 4; pp. 481 - 495
Main Authors Kaymaz, Işıl, Arslan, E. Seda, Örücü, Ömer K., Hoşgör, Ecem
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 18.05.2024
Taylor & Francis Ltd
Subjects
Application programming interface
Crowdsourcing
Cultural heritage
Cultural resources
Ecosystem assessment
Infrastructure
kernel density
Land cover
Land use
landscape preferences
landscape service values
Protected areas
Urban areas
Urban environments
urban infrastructure
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Summary:This research focuses on exploring and mapping Ankara's urban points of interest and their values on different urban infrastructure types using geolocated data from Flickr. All publicly available data dated between 2005 and 2021 from Flickr were obtained through application programming interface and the infrastructure types were reclassified as green, blue, grey, and yellow, using the land use and land cover data based on Corine 2018. Spatial patterns for cultural service flow of landscape features and/or landscapes on different urban infrastructure types were mapped using Kernel density estimation in QGIS 3.21. The hotspots were assessed in terms of the cultural services they offered based on the Millennium Ecosystem Assessment (MA) framework, site visits, and observations. The findings showed that the city core mostly provided cultural heritage, identity, and recreational values. Results for the rural and peri-urban areas indicated that natural landscapes and protected areas stood out for their provision of cultural services, particularly for their recreational values. Our research identified user-intensive geographical clusters and hotspots that could benefit from interventions and enhancement for a more sustainable urban environment.
ISSN:1350-4509
1745-2627
DOI:10.1080/13504509.2023.2300005