Document Type : Original article
Authors
1
Assistant Professor, Department of Architecture and Urban Planning, Ilk.C., Islamic Azad University, Ilkhchi, Iran.
2
Ph.D. Student in Urban Planning, Department of urban planning, Ta.C., Islamic Azad University, Tabriz, Iran
Abstract
Background and Purpose: In recent decades, rapid urbanization and physical changes in urban environments have had a significant impact on how citizens interact in public spaces and the quality of social communication. Urban space is not simply a context for everyday activities, but also plays a key role in the formation of collective identity, a sense of belonging, and social cohesion. Inappropriate design of public spaces can lead to reduced social interactions, increased individual isolation, and weakening of social capital in cities. Therefore, examining the impact of urban design elements on social interactions is an essential step towards achieving sustainable urban planning. Numerous studies at the national and international levels have examined the physical, social, and perceptual dimensions of urban spaces. Research studies have shown that dense and understandable spatial structures are the basis for dynamic social interactions. The aim of this study is to examine the impact of spatial design features on the amount and type of social interactions in the city of Tabriz. Using a three-pronged approach including field studies, satellite imagery analysis, and spatial data modeling using a Geographic Information System (GIS), this study seeks to answer the question of which physical and spatial features facilitate or constrain social interactions in different types of urban spaces. This study uses spectral indices such as NDVI (Normalized Difference Vegetation Index) and NDBI (Normalized Building Index) to examine the role of vegetation and building density in promoting social activities.
Methodology: : The research method is a mixed type and includes field data collection (questionnaire), analysis of satellite images (Sentinel and Landsat), and spatial assessment using a geographic information system. The statistical population includes all citizens using four urban index spaces (El-Goli Park, Valiasr Square, Tabriz Bazaar, and Shariati Street), which was estimated to be about 40,000 people based on the estimated active population in these spaces. Using the Cochran formula and considering a confidence level of 95% and an error level of 0.04 (more accurate) and considering the amount of distorted questionnaires, the sample size was determined to be 750 people, and the results were analyzed using Spss software.
Findings and Discussion:. The results of structural equation modeling in SmartPLS software show that the three components of accessibility (b=0.41), green cover (b=0.37), and spatial legibility (β=0.22) have a significant effect on the growth of social facilities (R²=0.48). Satellite images show that El Goli Park with 65% green cover and a connectivity index of 0.75 has the highest levels of levels, while Shariati Street with 15% green cover and connectivity of 0.45 has a weaker performance. Also, 35% of social characteristics are allocated to walking, followed by socializing with the highest and cultural activities with the lowest.
Conclusion: The findings of this study indicate that the spatial and physical design of urban spaces plays an important role in enhancing or limiting social interactions between citizens. Urban environments with high levels of accessibility, green cover, and spatial integrity—such as El Goli Park—showed the highest levels of social interaction. Conversely, sparse and poorly equipped areas, such as Shariati Street, were associated with limited interaction. The integration of field data with satellite-derived indices NDVI and NDBI confirmed the effectiveness of remote sensing tools in assessing the socio-spatial quality of urban environments. In addition, demographic factors such as age, gender, and perceived safety significantly influence interaction patterns and should be considered in the design of public spaces. The results of this study can serve as a basis for informed decision-making in urban planning. This study demonstrates the importance of using scientific evidence in the decision-making process and can lead to the creation of a sustainable and efficient urban environment. As a result, utilizing these results in urban planning can help strengthen infrastructure and improve the quality of life of citizens.
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