Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/3790
Title: CLUSTERING NEIGHBORHOODS ACCORDING TO URBAN FUNCTIONS AND DEVELOPMENT LEVELS BY DIFFERENT CLUSTERING ALGORITHMS: A CASE IN KONYA
Authors: Akar, Alı Utku
Uymaz, Sait Ali
Keywords: Urban function
K-means clustering
Hierarchical clustering
OPTICS clustering
Urban development
Abstract: Urban functions/activities, which emerged under the influence of the human factor and are in the process of development over time, play a crucial role in the development of neighborhoods. To ensure balanced development status among the neighborhoods, it is necessary to know the development levels of the neighborhoods in advance. This study focuses on the clustering of the 167 central neighborhoods in Konya in terms of urban functions and reveals the similarities or differences in the development status of these neighborhoods. K-means, Hierarchical (agglomerative) and OPTICS clustering analyzes were used to cluster central neighborhoods. 18 features related to urban functions were determined as input parameters in the clustering analyzes. Results showed that cluster analysis can be used in urban studies and determine the development status of cities. It is important to carry out clustering studies to make urban planning by revealing the development differences between the neighborhoods and to provide more appropriate service delivery.
URI: https://doi.org/10.36306/konjes.1158414
https://search.trdizin.gov.tr/yayin/detay/1143473
https://hdl.handle.net/20.500.13091/3790
ISSN: 2667-8055
Appears in Collections:TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections

Files in This Item:
File SizeFormat 
10.36306-konjes.1158414-2581880.pdf1.82 MBAdobe PDFView/Open
Show full item record



CORE Recommender

Page view(s)

32
checked on Mar 25, 2024

Download(s)

18
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.