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<p>Urban areas are complex, heterogeneous systems that shape ecosystem functionality and efficiency through their spatial form and design. This study employs a configurational approach to investigate the impact of urban morphology on the spatial patterns of Urban Green Spaces (UGS) in Savzevar, Iran. Urban morphological changes were analyzed using space syntax, a method that quantifies spatial relationships, while landscape metrics were applied to assess the spatial patterns of UGS. Three morphological indices—connectivity, mean spatial depth, and integration—were used to evaluate urban form. Spatial patterns of UGS were quantified through metrics including Class Area (CA), Largest Patch Index (LPI), effective MESH size, mean patch fractal dimension (MPFD), mean shape index (MSI), and total edge (TE). Relationships between these variables were examined using transect models, gradient analysis, and Pearson’s correlation method. Results indicate significant correlations between TE, MPFD, MSI, and MESH and both integration and mean spatial depth. Furthermore, integrated or segregated urban spaces were found to influence the shape, complexity, edge characteristics, and UGS fragmentation. Higher integration or mean spatial depth values were associated with increased irregularity, shape complexity, and patchiness in UGS. These findings highlight the crucial role of spatial configuration in shaping UGS patterns and provide valuable insights for urban policymakers, planners, and designers. By prioritizing spatial strategies that enhance green space development, corridor expansion, and connectivity, this approach can promote sustainable urban ecosystems.</p>

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A configurational analysis of urban form and its influence on urban green space spatial patterns: a case study of Sabzevar, Iran

  • 期刊论文

  • 发表日期：

    2025年8月22日

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  • Hadi Soltanifard,
  • Omid Mehrfrooz,
  • Richard LeBrasseur

摘要

Urban areas are complex, heterogeneous systems that shape ecosystem functionality and efficiency through their spatial form and design. This study employs a configurational approach to investigate the impact of urban morphology on the spatial patterns of Urban Green Spaces (UGS) in Savzevar, Iran. Urban morphological changes were analyzed using space syntax, a method that quantifies spatial relationships, while landscape metrics were applied to assess the spatial patterns of UGS. Three morphological indices—connectivity, mean spatial depth, and integration—were used to evaluate urban form. Spatial patterns of UGS were quantified through metrics including Class Area (CA), Largest Patch Index (LPI), effective MESH size, mean patch fractal dimension (MPFD), mean shape index (MSI), and total edge (TE). Relationships between these variables were examined using transect models, gradient analysis, and Pearson’s correlation method. Results indicate significant correlations between TE, MPFD, MSI, and MESH and both integration and mean spatial depth. Furthermore, integrated or segregated urban spaces were found to influence the shape, complexity, edge characteristics, and UGS fragmentation. Higher integration or mean spatial depth values were associated with increased irregularity, shape complexity, and patchiness in UGS. These findings highlight the crucial role of spatial configuration in shaping UGS patterns and provide valuable insights for urban policymakers, planners, and designers. By prioritizing spatial strategies that enhance green space development, corridor expansion, and connectivity, this approach can promote sustainable urban ecosystems.