Vol. 17 No. 1 (2020): Data and Analysis
Articles

Evaluating visitors' perceptions of squares: Evidence from Istanbul

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  • Hatice Ayataç,
  • Enver Cenan İnce,
  • Fatma Ayçim Türer Başkaya,
  • Eren Kürkçüoğlu,
  • Özge Çelik,
  • Sinem Becerik Altındiş
Hatice Ayataç
Department of City and Regional Planning, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
Enver Cenan İnce
Department of City and Regional Planning, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
Fatma Ayçim Türer Başkaya
Department of Landscape Architecture, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
Eren Kürkçüoğlu
Department of City and Regional Planning, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
Özge Çelik
Department of City and Regional Planning, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
Sinem Becerik Altındiş
Department of City and Regional Planning, Faculty of Architecture, İstanbul Technical University, Istanbul, Turkey
DOI: https://doi.org/10.5505/itujfa.2019.98216

Published 2020-04-01

Keywords

  • Attraction to a public square,
  • Visitors' perceptions of public squares,
  • Binary probit model

How to Cite

Ayataç, H., Cenan İnce, E., Ayçim Türer Başkaya, F., Kürkçüoğlu, E., Çelik, Özge, & Becerik Altındiş, S. (2020). Evaluating visitors’ perceptions of squares: Evidence from Istanbul. A|Z ITU JOURNAL OF THE FACULTY OF ARCHITECTURE, 17(1), 1–12. https://doi.org/10.5505/itujfa.2019.98216

Abstract

The urban square has been a prominent research topic in the literature of public space for decades, with related research taking it into account mainly as a physical, social, and economic space. However, a very limited number of empirical studies take into account the spatial perception of visitors to squares. The main aim of this study is to fill this gap by determining the factors prominent in shaping visitors' perception of the attractiveness of urban squares. For this purpose, fourteen urban squares were selected as cases, and 644 randomly selected visitors of these squares were surveyed. Following this comprehensive survey, a binary probit model was used to model the visitors' binary perceptions of the attractiveness of the related squares. A correlative approach between such a comprehensive study and an econometric model would be novel in the case of Istanbul.
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