Robustness Measure of China’s Railway Network Topology Using Relative Entropy

This study focused on China’s railway network topology issue from a robustness measure perspective. Relative entropy is used in the study as a measurement of robustness of railway network topology. It is found that the entropy-based measure provides more informative analyses compared to a traditiona...

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Main Authors: Fenling Feng, Lei Wang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/391709
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author Fenling Feng
Lei Wang
author_facet Fenling Feng
Lei Wang
author_sort Fenling Feng
collection DOAJ
description This study focused on China’s railway network topology issue from a robustness measure perspective. Relative entropy is used in the study as a measurement of robustness of railway network topology. It is found that the entropy-based measure provides more informative analyses compared to a traditional graph measure. The results indicate that the railway network in the 12th five-year plan has improved robustness when compare to 2008 with respect to deliberate and random attacks.
format Article
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institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-f016eacb99644a2d82690569b8905f492025-02-03T06:07:36ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/391709391709Robustness Measure of China’s Railway Network Topology Using Relative EntropyFenling Feng0Lei Wang1School of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaSchool of Traffic and Transportation Engineering, Central South University, Changsha 410075, ChinaThis study focused on China’s railway network topology issue from a robustness measure perspective. Relative entropy is used in the study as a measurement of robustness of railway network topology. It is found that the entropy-based measure provides more informative analyses compared to a traditional graph measure. The results indicate that the railway network in the 12th five-year plan has improved robustness when compare to 2008 with respect to deliberate and random attacks.http://dx.doi.org/10.1155/2013/391709
spellingShingle Fenling Feng
Lei Wang
Robustness Measure of China’s Railway Network Topology Using Relative Entropy
Discrete Dynamics in Nature and Society
title Robustness Measure of China’s Railway Network Topology Using Relative Entropy
title_full Robustness Measure of China’s Railway Network Topology Using Relative Entropy
title_fullStr Robustness Measure of China’s Railway Network Topology Using Relative Entropy
title_full_unstemmed Robustness Measure of China’s Railway Network Topology Using Relative Entropy
title_short Robustness Measure of China’s Railway Network Topology Using Relative Entropy
title_sort robustness measure of china s railway network topology using relative entropy
url http://dx.doi.org/10.1155/2013/391709
work_keys_str_mv AT fenlingfeng robustnessmeasureofchinasrailwaynetworktopologyusingrelativeentropy
AT leiwang robustnessmeasureofchinasrailwaynetworktopologyusingrelativeentropy