The results of transportation infrastructure network analyses have been used to analyze complex networks in a topological context. However, most modeling approaches, including those based on complex network theory, do not fully account for real-life traffic patterns and may provide an incomplete view of network functions. This study utilizes trip data obtained from the Beijing Subway System to characterize individual passenger movement patterns. A directed weighted passenger flow network was constructed from the subway infrastructure network topology by incorporating trip data. The passenger flow networks exhibit several properties that can be characterized by power-law distributions based on flow size, and log-logistic distributions based on the fraction of boarding and departing passengers. The study also characterizes the temporal patterns of in-transit and waiting passengers and provides a hierarchical clustering structure for passenger flows. This hierarchical flow organization varies in the spatial domain. Ten cluster groups were identified, indicating a hierarchical urban polycentric structure composed of large concentrated flows at urban activity centers. These empirical findings provide insights regarding urban human mobility patterns within a large subway network.
The cost of connectivity: Network tradeoffs in subway expansion and historic street preservation
University of Michigan – Ann Arbor（密歇根大学安娜堡分校）；Georgia Institute of Technology（佐治亚理工学院）；Guangzhou University（广州大学）；South China Agricultural University（华南农业大学）
Decarbonizing China's private passenger vehicles: A dynamic material flow assessment of metal demands and embodied emissions
School of Architecture and Urban Planning, Chongqing University（重庆大学建筑城邦学院）；Energy and Resources Group, University of California, Berkeley（加州大学伯克利分校能源与资源集团）；The Center for Energy & Environmental Policy Research, Beijing Institute of Technology（北京理工大学能源与环境政策研究中心）
