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Node Degree Distribution and Interrelationships of Beijing Subway, Bus, and Composite Network
Cheng Xiangjun1, Zhang Chunyue2, and Duan Jinxiao1
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DOI:10.17265/2328-2142/2026.01.001
1. Beijing Jiaotong University, Beijing 100044, China 2. Central University of Finance and Economics, Beijing 100081, China
This study examines Beijing subway network, bus network and the composite network of the two in 2022. Using stations as nodes and the lines between them as edges, the node degree probability distribution of the resulting complex networks is calculated. Through regression analysis, it is found that the node degree probability distributions for all three transportation modes follow a negative exponential function, and all three distribution curves decrease as the node degree increases. Among the three probability distribution curves, the node degree probability distribution curve of subway network is at the bottom, the probability distribution curve of bus network is in the middle, and the probability distribution curve of composite network is at the top.
Subway network, bus network, composite network, regression analysis, degree distribution
Cheng Xiangjun, Zhang Chunyue, and Duan Jinxiao. (2026). Node Degree Distribution and Interrelationships of Beijing Subway, Bus, and Composite Network, February 2026, Vol. 14, No. 1, 1-7
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