<![CDATA[Modern shopping malls have become big, multi-story places where people go for more than just shopping, which makes it really important to design good movement between the different floors. While space syntax is widely used to analyze spatial layouts, there is limited empirical understanding of how linear spatial configurations specifically impact uneven visitor distribution across vertically stacked levels in Indonesian urban malls. This study investigates how spatial configuration impacts visitor circulation patterns using Mall @Alam Sutera as a case study. The research addresses a gap in understanding the relationship between spatial integration and circulation efficiency within a commercial environment. The method used in this research is simulation approach with DepthmapX software validated by field observations. The research analyzes spatial connectivity, integration, and intelligibility across four levels (LG, GF, 1F, and 2F). The results reveal a significant disparity: The Ground Floor (GF) serves as the most effective distribution hub due to superior integration and central visibility, whereas the Second Floor (2F) suffers from critical isolation with the lowest intelligibility (R2 < 0.50), directly correlating with observed low visitor traffic. These findings demonstrate that linear layouts require strong vertical integration mechanisms to activate upper levels. The study concludes by offering data-driven design strategies to resolve spatial segregation and enhance overall circulation efficiency in multi-level commercial environments. These findings contribute to the development of a more efficient and data-driven mall design, with a focus on improving circulation and visitor experience in commercial space.]]>
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