Visual Complexity Analysis of Built Environments on the Axis of Tourism Potential: The Case of Odunpazarı, Eskişehir

Öznur Işınkaralar

Makale detayları

Visual Complexity Analysis of Built Environments on the Axis of Tourism Potential: The Case of Odunpazarı, Eskişehir

Yazarlar:

Öznur Işınkaralar

Yayıncı:

Kocaeli University

Ana Başlıklar:

Mimarlık

Dergi:

Mimarlık ve Yaşam Vol.8 Issue 2, pp.373-391

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289119

pISSN:

2564-6109

Anahtar kelimeler:

Özet:

 The visual environment is an urban component that directs and influences the citizens and the users visiting the city. Terms of physical decisions must analyze urban design based on visuals, especially in areas with high tourism potential. It is possible to calculate the measurable values of the images presented with visual complexity analysis, which has come to the forefront thanks to the developments in computer-aided image processing technology. One of the most common methods used to evaluate visual complexity is fractal geometry-based analysis. The research aims to reveal the fractal dimension in the complexity assessments of the built environments by considering three different attraction regions Islands, Boulevard, and Museums from Odunpazarı district of Eskişehir, where the visitor potential is high with many historical and socio-cultural values. First, preprocessing was performed for 60 street images selected from the regions. Thus, perceptually meaningful edge structures in the images were effectively revealed. Then, the level of visual complexity was measured with the FDH-FDT method. In the method, FDH represents the heterogeneity dimension Dv of the images, and FDT represents the heterogeneity dimension of the tissues Dvs. The visual complexity values obtained were evaluated with the complex matrix of four quarters. While Dv values are between 1.51-1.70 in the Islands region, Dvs values vary between 1.62-1.76. While Dv values in the Boulevard area ranged between 1.50-1.69, Dvs values were measured between 1.54-1.78. In the Museums region, the Dv values of the images vary between 1.47-1.75, while the Dvs values are between 1.52-1.74. As a result of the research, it has been reached that the Islands region has a more complex design than other areas. This result shows that the Islands region is a more attractive and exciting urban area for visitors in terms of visual richness. The study reveals that the FDH-FDT method can be an effective systematic tool in quantitatively evaluating built environments in the context of visual-spatial perception.

 The visual environment is an urban component that directs and influences the citizens and the users visiting the city. Terms of physical decisions must analyze urban design based on visuals, especially in areas with high tourism potential. It is possible to calculate the measurable values of the images presented with visual complexity analysis, which has come to the forefront thanks to the developments in computer-aided image processing technology. One of the most common methods used to evaluate visual complexity is fractal geometry-based analysis. The research aims to reveal the fractal dimension in the complexity assessments of the built environments by considering three different attraction regions Islands, Boulevard, and Museums from Odunpazarı district of Eskişehir, where the visitor potential is high with many historical and socio-cultural values. First, preprocessing was performed for 60 street images selected from the regions. Thus, perceptually meaningful edge structures in the images were effectively revealed. Then, the level of visual complexity was measured with the FDH-FDT method. In the method, FDH represents the heterogeneity dimension Dv of the images, and FDT represents the heterogeneity dimension of the tissues Dvs. The visual complexity values obtained were evaluated with the complex matrix of four quarters. While Dv values are between 1.51-1.70 in the Islands region, Dvs values vary between 1.62-1.76. While Dv values in the Boulevard area ranged between 1.50-1.69, Dvs values were measured between 1.54-1.78. In the Museums region, the Dv values of the images vary between 1.47-1.75, while the Dvs values are between 1.52-1.74. As a result of the research, it has been reached that the Islands region has a more complex design than other areas. This result shows that the Islands region is a more attractive and exciting urban area for visitors in terms of visual richness. The study reveals that the FDH-FDT method can be an effective systematic tool in quantitatively evaluating built environments in the context of visual-spatial perception.

 The visual environment is an urban component that directs and influences the citizens and the users visiting the city. Terms of physical decisions must analyze urban design based on visuals, especially in areas with high tourism potential. It is possible to calculate the measurable values of the images presented with visual complexity analysis, which has come to the forefront thanks to the developments in computer-aided image processing technology. One of the most common methods used to evaluate visual complexity is fractal geometry-based analysis. The research aims to reveal the fractal dimension in the complexity assessments of the built environments by considering three different attraction regions Islands, Boulevard, and Museums from Odunpazarı district of Eskişehir, where the visitor potential is high with many historical and socio-cultural values. First, preprocessing was performed for 60 street images selected from the regions. Thus, perceptually meaningful edge structures in the images were effectively revealed. Then, the level of visual complexity was measured with the FDH-FDT method. In the method, FDH represents the heterogeneity dimension Dv of the images, and FDT represents the heterogeneity dimension of the tissues Dvs. The visual complexity values obtained were evaluated with the complex matrix of four quarters. While Dv values are between 1.51-1.70 in the Islands region, Dvs values vary between 1.62-1.76. While Dv values in the Boulevard area ranged between 1.50-1.69, Dvs values were measured between 1.54-1.78. In the Museums region, the Dv values of the images vary between 1.47-1.75, while the Dvs values are between 1.52-1.74. As a result of the research, it has been reached that the Islands region has a more complex design than other areas. This result shows that the Islands region is a more attractive and exciting urban area for visitors in terms of visual richness. The study reveals that the FDH-FDT method can be an effective systematic tool in quantitatively evaluating built environments in the context of visual-spatial perception.

 Görsel çevre, kentliyi ve kenti ziyaret eden kullanıcıları yönlendiren ve etkileyen bir kentsel bileşendir. Özellikle turizm potansiyeli yüksek alanlarda görsellerden yola çıkarak kentsel tasarıma yönelik analizler yürütmek fiziksel kararlar açısından bir gerekliliktir. Bilgisayar destekli görüntü işleme teknolojisinde yaşanan gelişmeler sayesinde öne çıkan görsel karmaşıklık analizi ile sunulan görsellerin ölçülebilir değerlerinin hesaplanması mümkündür. Görsel karmaşıklığın değerlendirilmesinde kullanılan en yaygın yöntemlerden biri ise fraktal geometri tabanlı analizlerdir. Araştırmada tarihi ve sosyo-kültürel pek çok değeri ile ziyaretçi potansiyelinin yüksek olduğu Eskişehir Odunpazarı ilçesinden üç farklı cazibe bölgesi Adalar, Bulvar ve Müzeler ele alınarak, yapılı çevrelerinin karmaşıklık değerlendirmelerinde fraktal boyutu ortaya koymak amaçlanmaktadır. Bölgelerden seçilen 60 sokak görüntüsü için ilk olarak ön işleme yapılmıştır. Böylece, görüntülerdeki algısal olarak anlamlı kenar yapıları etkili bir şekilde ortaya çıkarılmıştır. Ardından, görüntülerin fraktal heterojenlik boyutu FDH: fractal dimension of heterogeneity ve dokunun fraktal boyutu FDT: fractal dimension of texture yöntemleri ile görsel karmaşıklık düzeyi ölçülmüştür. Yöntemde FDH görüntülerin heterojenlik boyutunu Dv, FDT ise dokuların heterojenlik boyutunu Dvs temsil etmektedir. Elde edilen görsel karmaşıklık değerleri, dört farklı çeyrekten oluşan karmaşıklık matrisi ile değerlendirilmiştir. Adalar bölgesinde Dv değerleri 1,51-1,70 arasındayken, Dvs değerleri ise 1,62-1,76 arasında değişmektedir. Bulvar bölgesinde Dv değerleri 1,50-1,69 arasında değişim gösterirken, Dvs değerleri 1,54-1,78 arasında ölçülmüştür. Müzeler bölgesinde ise görüntülerin Dv değerleri 1,47-1,75 arasında değişim gösterirken, Dvs değerleri 1,52-1,74 arasındadır. Araştırma sonucunda, Adalar bölgesinin diğer alanlardan daha karmaşık bir tasarıma sahip olduğuna ulaşılmıştır. Bu sonuç ise Adalar bölgesinin görsel zenginlik açısından ziyaretçiler için daha çekici ve heyecan verici bir kentsel alan olduğunu göstermektedir. Çalışma, görsel mekânsal algı bağlamında yapılı çevrelerin nicel olarak değerlendirilmesinde FDH-FDT yönteminin etkili bir sistematik araç olabileceğini göstermektedir.

Makale detayları

Visual Complexity Analysis of Built Environments on the Axis of Tourism Potential: The Case of Odunpazarı, Eskişehir

Yazarlar:

Öznur Işınkaralar

Yayıncı:

Kocaeli University

Ana Başlıklar:

Mimarlık

Dergi:

Mimarlık ve Yaşam Vol.8 Issue 2, pp.373-391

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289119

pISSN:

2564-6109

Spatial Planning

Urban Design

Built Environment

Visual Complexity

Urban LifeMekânsal Planlama

Kentsel Tasarım

Yapılı Çevre

Görsel Karmaşıklık

Kentsel Yaşam

Sayı

Makale detayları

Yazarlar: Öznur Işınkaralar

Yayıncı: Kocaeli University

Ana Başlıklar: Mimarlık

Dergi: Mimarlık ve Yaşam Vol.8 Issue 2, pp.373-391

Belge Tipi: Makale

Yayın Tarihi: 4/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001289119

pISSN: 2564-6109

Sayı

Yazarlar:

Öznur Işınkaralar

Yayıncı:

Kocaeli University

Ana Başlıklar:

Mimarlık

Dergi:

Mimarlık ve Yaşam Vol.8 Issue 2, pp.373-391

Belge Tipi:

Makale

Yayın Tarihi:

4/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001289119

pISSN:

2564-6109