Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1690
Title: | Syntactic Legibility of Image Elements: Eskisehir Case | Authors: | Topçu, Mehmet Aköz Çevrimli, Begüm Geyikli, Hande Busra |
Keywords: | Eskisehir Legibility Image Intelligibility Perception Analysis Space Syntax Space-Syntax City Perception |
Issue Date: | 2021 | Publisher: | Yıldız Teknik Üniversitesi | Abstract: | This study aims to measure the image perception and spatial legibility of Eskisehir city and to discuss the relationship between image elements and spatial legibility through comparative analysis. Methodologically, the study consists of three stages. (1) A questionnaire was prepared in line with Lynch, Nasar, and Rapoport's approaches to image and urban space perception. This questionnaire was applied to a group of 60 consisting of ordinary people and experts in the form of mutual interviews, and an image map of the city was created as a result of the answers received. (2) An axial map of the city was drawn and integration, connectivity, intelligibility, and synergy parameters were analysed at an urban scale with the axial analysis method using space syntax methodology. (3) Image elements were discussed comparatively in the context of determining numerical parameters. As a result, the perception of the path parameter was the highest; the landmark and node parameters were close to one another and came second, and the district parameter was the last. The study proposes a different methodological approach in order to categorise the image elements in detail, allowing each element to be evaluated numerically, and to discuss on which parameter the perception of the image element is numerically more important. | URI: | https://doi.org/10.14744/MEGARON.2021.62515 https://hdl.handle.net/20.500.13091/1690 |
ISSN: | 1309-6915 |
Appears in Collections: | Mimarlık ve Tasarım Fakültesi Koleksiyonu TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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MEGARON_16_4_644_658.pdf | 1.73 MB | Adobe PDF | View/Open |
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