Document Type : Research Paper
Authors
1 M.Sc. Student in Urban Design, Faculty of Architecture and Urban Planning, Jundi-Shapur University of Technology, Dezful, Iran
2 Assistant Professor of Architecture and Urban Planning, Jundi Shapur University of Technology, Dezful, Iran.
Abstract
Urban street networks serve as the backbone of the physical structure of cities, playing a central role in spatial development, enhancing accessibility, and reducing spatial inequalities. This study adopts a multi-scale approach to analyze Khorramabad’s street network using Space Syntax and K-Means clustering to identify spatial patterns that influence morphological development at local, intermediate, and global scales.
The main objective is to examine how the role of urban corridors evolves in shaping the expansion of residential, commercial, and infrastructural areas as the scale of analysis broadens. Primary data were extracted from OpenStreetMap and modeled as axial lines in DepthmapX. Key indicators—including integration, choice, and connectivity—were calculated and interpreted at each scale.
Results show that at the local scale, highly integrated streets (55% of the network) form the main axes for movement and access to local services; at the intermediate scale, streets with high connectivity (48–52%) balance inter-zonal traffic and spatial flow; and at the global scale, streets with high choice values (55%) support citywide connectivity and promote infrastructure development.
However, the lack of real traffic data limited the validation of street performance. The study provides strategic recommendations such as strengthening intermediate corridors, enhancing traffic infrastructure, and improving accessibility in peripheral areas to achieve balanced urban development. It also suggests that future research employ GPS or traffic count data in similarly mountainous and developing cities to improve spatial analysis accuracy
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