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| Complexity Analysis of Chinese Railway Express Freight Transportation Network |
| MA Liang1,2, JIN Fucai3, HU Chenhan3
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1. School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China;
2. The Center of National Railway Intelligent Transportation System Engineering and Technology, Beijing 100844, China;
3. Institute of Computing Technologies, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China |
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Abstract In order to improve the accuracy of complex network model and the comprehensiveness of complexity analysis, the method of modeling undirected weighted complex network of CREFTN in L-space (UWCN-CREFTN), the comprehensive importance evaluation index of the nodes and network robustness analysis method considering node failure based on comprehensive importance index are proposed. Based on the timetable and wagon-flow data, the results of analyzing the topological characteristics of UWCN-CREFTN show that CREFTN is a small-world network which has high heterogeneity, strength-degree positive correlation, point-weighted equality, weighted non-homogeneous matching, strength-strength negative correlation at present. Based on network efficiency and node importance, the results of analyzing the robustness of UWCN-CREFTN contrastively under four situations at two aspects show that the random failure of nodes makes the network more robust than vandalism, maximum-comprehensive-importance vandalism make the network more vulnerable than maximum-strength vandalism and completely collapse faster than maximum-weighted-betweenness vandalism, which indicates that the proposed comprehensive importance evaluation index has the dual characteristics of node strength and node weighted betweenness.
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Received: 15 February 2022
Published: 28 December 2023
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