Introduction:. In recent years, rapid urbanization and the increasing complexity of urban issues have highlighted the need for innovative technologies in urban design and management. Computer vision, a branch of artificial intelligence, offers significant potential for improving urban planning by analyzing visual data and extracting critical information. This technology has been applied in various fields, including traffic management, public space monitoring, urban safety, and green space management. Data and Method:. This research employed a systematic review method to investigate the applications of computer vision in urban design. Relevant articles were collected from reputable academic databases, including Google Scholar, Scopus, and IEEE Xplore. The selected studies were coded and analyzed using MAXQDA software to identify key themes and applications. Results:. The results show that computer vision can enhance public space quality, reduce travel time, and improve urban safety. Furthermore, it contributes to the sustainable management of urban green spaces by enabling the detection of environmental changes through the analysis of satellite images and field data. However, challenges such as the need for advanced infrastructure and privacy concerns remain significant obstacles. Conclusion:. Although computer vision offers numerous advantages for urban design, its widespread implementation is hindered by financial and technical challenges. This study suggests that future research should focus on developing cost-effective infrastructure and addressing privacy concerns. Additionally, interdisciplinary collaboration is essential for the successful integration of this technology into urban planning.
Tayyebi, A. and Beiranvand, A. (2026). Examining the applications of computer vision in urban design: A systematic review. Journal of Urban Social Geography, 13(1), -. doi: 10.22103/jusg.2026.2181
MLA
Tayyebi, A. , and Beiranvand, A. . "Examining the applications of computer vision in urban design: A systematic review", Journal of Urban Social Geography, 13, 1, 2026, -. doi: 10.22103/jusg.2026.2181
HARVARD
Tayyebi, A., Beiranvand, A. (2026). 'Examining the applications of computer vision in urban design: A systematic review', Journal of Urban Social Geography, 13(1), pp. -. doi: 10.22103/jusg.2026.2181
CHICAGO
A. Tayyebi and A. Beiranvand, "Examining the applications of computer vision in urban design: A systematic review," Journal of Urban Social Geography, 13 1 (2026): -, doi: 10.22103/jusg.2026.2181
VANCOUVER
Tayyebi, A., Beiranvand, A. Examining the applications of computer vision in urban design: A systematic review. Journal of Urban Social Geography, 2026; 13(1): -. doi: 10.22103/jusg.2026.2181
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