Underground pedestrian networks (UPNs), serving as a comprehensive approach for utilising urban underground spaces to address connectivity and spatial challenges, have undergone significant development in numerous major city centres. Well-designed UPNs are pivotal in developing compact cities, bolstering urban resilience, enhancing urban transportation systems, fostering urban renewal, and facilitating sustainable urban development. This study explores the construction methodology of UPNs by utilising the source-sink theory and relevant models. Using Xinjiekou District in Nanjing City as a case study, this study employs the minimum cumulative resistance model to simulate a UPN and conduct analysis of pedestrian flow clustering on the simulation results. The findings demonstrate that our proposed method effectively elucidates and predicts the connectivity of UPNs, enabling us to construct an optimal network with minimal cost. Moreover, the simulation network significantly enhances the optimisation of pedestrian flow distribution. Building upon these simulation results, the UPN in the study area is optimised by integrating real-world conditions and conducting degree centrality analysis. The findings are then utilised to propose policy recommendations for UPN layout planning in urban centres. This study serves as a valuable reference for underground space planning in the study area and provides insights for UPN construction in other urban centres.

中文翻译：

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构建地下步行网络：基于源汇理论的模型及南京市新街口的案例研究


地下步行网络（UPN）作为利用城市地下空间解决连通性和空间挑战的综合方法，在许多主要城市中心得到了显着的发展。精心设计的 UPN 对于发展紧凑型城市、增强城市韧性、增强城市交通系统、促进城市更新和促进可持续城市发展至关重要。本研究利用源汇理论和相关模型探讨了UPN的构建方法。以南京市新街口区为例，采用最小累积阻力模型模拟UPN，并对模拟结果进行人流聚类分析。研究结果表明，我们提出的方法有效地阐明和预测了 UPN 的连通性，使我们能够以最小的成本构建最佳网络。此外，模拟网络显着增强了人流分布的优化。基于这些模拟结果，通过整合现实条件并进行度中心性分析来优化研究区域的 UPN。然后利用研究结果为城​​市中心的 UPN 布局规划提出政策建议。本研究可为研究区地下空间规划提供有价值的参考，并为其他城市中心的UPN建设提供参考。