Geographic coarse graining analysis of the railway network of China

被引：27

作者：

Ru, Wang ^{[1
]}

Tan Jiang-Xia ^{[1
]}

Xin, Wang ^{[1
]}

Wang Du-Juan ^{[2
]}

Xu, Cai ^{[1
]}

机构：

[1] Hua Zhong Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China

[2] HuBei Univ Educ, Coll Phys Sci & Elect Engn, Wuhan 430060, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2008年 / 387卷 / 22期

基金：

中国国家自然科学基金;

关键词：

railway network; statistics physics; geographic coarse graining;

D O I：

10.1016/j.physa.2008.05.052

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

We investigate the detailed, empirical analysis of the statistical properties of the Railway Network of China (RNC) in space L and space G, constructed by geographic coarse graining process. The RNC exhibits similar properties in the cumulative distributions of degree and strength in two spaces, and it presents the hierarchical structure, small-world behavior and assortativity, areciprocal connection both in space L and space G. We also investigate the path length that every train runs, the distribution of the railroad length per degree and the optimal distribution of stations. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：5639 / 5646

页数：8

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