Geographic coarse graining analysis of the railway network of China

Ru Wang, Jiang-Xia Tan, Xin Wang, Du-Juan Wang and Xu Cai

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 22, 5639-5646

Abstract: 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.

Keywords: Railway network; Statistics physics; Geographic coarse graining (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:22:p:5639-5646

DOI: 10.1016/j.physa.2008.05.052

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