نوع مقاله : مقاله پژوهشی
نویسندگان
1 استاد، گروه شهرسازی، دانشگاه علم وصنعت ایران، تهران، ایران
2 پژوهشگر پست دکتری شهرسازی، گروه شهرسازی، دانشگاه علم وصنعت ایران، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Problem Statement: In contemporary urban design, the role of spatial configuration in shaping local interactions and fostering urban communities has gained increasing importance. The concept of spatial intelligence reflects the ability of urban space to guide behavior, movement, and social interaction; an area that still requires extensive investigation at both urban and neighborhood scales.
Aim: This study aims to uncover the hidden structures of spatial intelligence and examine their relationship with the formation of local communities in the city of Bojnord.
Method: Street-network data for the central urban fabric were processed using the Space Syntax method and Depthmap software. Network indicators were analyzed across four main categories: (1) movement and accessibility, (2) routes and flow, (3) local and network properties, and (4) geometric characteristics, forming a comprehensive analytical framework for interpretation.
Findings: The results reveal that segments with high integration, accessibility, and choice values form the core of the network, guiding major movement flows and shaping residents’ social interactions. Secondary segments with moderate levels of connectivity and control create localized nodes of sociability at the neighborhood scale. A comparative analysis with the city’s neighborhood map shows that areas adjacent to primary urban axes benefit most from spatial integration and network connectivity, while peripheral neighborhoods play a more limited role. These patterns reflect the embedded spatial intelligence of the urban fabric; meaning that the street network and built form can autonomously organize daily movement, social flows, and local interactions without relying solely on institutional decisions or advanced technologies.
Conclusion: The findings highlight the latent spatial intelligence of Bojnord’s central fabric and demonstrate that the street-network structure, even in the absence of smart technologies, possesses the inherent capacity to facilitate social interaction and strengthen neighborhood cohesion. The study offers a practical analytical framework for identifying urban potentialities and supporting sustainable, context-sensitive urban regeneration strategies.
کلیدواژهها [English]
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