The effective management of human flow is critical to the success of complex projects in urban centers, such as shopping malls. However, conventional methods of flow organization, which rely on observation and empirical knowledge, face challenges in fully comprehending the intricate environment. This study proposes an analytical approach to manage human flow in shopping malls in urban centers. A Wi-Fi probe positioning system recorded real-time human flow to assess current movement patterns, while virtual reality (VR) identified issues and optimized the space layout. The Maoye shopping mall in Nanjing experienced a decline in human flow, prompting the need for a new design. The study demonstrates that the Wi-Fi probe positioning system supports the setting of entrances and main corridors during the design phase, while VR tracing evaluates space layout and aids optimization. The study contributes to data-informed design by integrating analytical approaches into the conventional design process.

人流的有效管理对于购物中心等城市中心复杂项目的成功至关重要。然而，传统的流程​​组织方法依赖于观察和经验知识，在充分理解错综复杂的环境方面面临挑战。本研究提出了一种管理城市中心购物中心人流的分析方法。Wi-Fi 探头定位系统记录实时人流以评估当前的运动模式，同时虚拟现实 (VR) 识别问题并优化空间布局。南京茂业购物中心经历了人流量的下降，促使需要进行新的设计。研究表明，Wi-Fi 探针定位系统支持在设计阶段设置入口和主要走廊，而VR追踪评估空间布局并帮助优化。该研究通过将分析方法集成到传统设计过程中，为数据知情设计做出了贡献。