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Characterization of the Street Networks in the Traditional Turkish Urban Form

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  • Yasushi Asami

    (Center for Spatial Information Science, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)

  • Ayse Sema Kubat

    (Department of Urban and Regional Planning, Faculty of Architecture, Istanbul Technical University, Taskisla, Taksim, Istanbul, Turkey)

  • Cihangir Istek

    (Center for Spatial Information Science, University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8904, Japan)

Abstract

In this paper, we use the question “what is the true nature of traditional street networks in Turkish cities?†to test different quantitative methods of urban morphological analysis. Traditional Turkish street networks are characterized by discriminant functions of several space-syntax-related indices, as well as by image-analysis and graph-theoretical indices. A set of space-syntactic indices is found to be powerful enough to distinguish the traditional street network among others, particularly axial ringiness, implying that the formation of large blocks is a typical feature. The relative abundance of closed-end edges is found to be another important feature of the traditional street network.

Suggested Citation

  • Yasushi Asami & Ayse Sema Kubat & Cihangir Istek, 2001. "Characterization of the Street Networks in the Traditional Turkish Urban Form," Environment and Planning B, , vol. 28(5), pages 777-795, October.
    • Handle: RePEc:sae:envirb:v:28:y:2001:i:5:p:777-795
    DOI: 10.1068/b2718
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    Cited by:

    1. Batac, Rene C. & Cirunay, Michelle T., 2022. "Shortest paths along urban road network peripheries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    2. Ahmet Salih Günaydın & M. Faruk Altunkasa, 2022. "Developing the socio-spatial integration of historical city centers with spatial strategies: the case of Gaziantep," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8092-8114, June.
    3. Robert Ogie & Tomas Holderness & Michelle Dunbar & Etienne Turpin, 2017. "Spatio-topological network analysis of hydrological infrastructure as a decision support tool for flood mitigation in coastal mega-cities," Environment and Planning B, , vol. 44(4), pages 718-739, July.
    4. Bo-Xun Huang & Shang-Chia Chiou & Wen-Ying Li, 2020. "Accessibility and Street Network Characteristics of Urban Public Facility Spaces: Equity Research on Parks in Fuzhou City Based on GIS and Space Syntax Model," Sustainability, MDPI, vol. 12(9), pages 1-19, April.

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