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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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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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 |
id | doaj-art-f016eacb99644a2d82690569b8905f49 |
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 |