Vulnerability analysis and passenger source prediction in urban rail transit networks.
Vulnerability analysis and passenger source prediction in urban rail transit networks.
复制标题
城市轨道交通网络脆弱性分析与客源预测
DOI：
10.1371/journal.pone.0080178
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Wang P
中科院分区：
文献类型：
--
作者：
Wang J;Li Y;Liu J;He K;Wang P
Based on large-scale human mobility data collected in San Francisco and Boston, the morning peak urban rail transit (URT) ODs (origin-destination matrix) were estimated and the most vulnerable URT segments, those capable of causing the largest service interruptions, were identified. In both URT networks, a few highly vulnerable segments were observed. For this small group of vital segments, the impact of failure must be carefully evaluated. A bipartite URT usage network was developed and used to determine the inherent connections between urban rail transits and their passengers' travel demands. Although passengers' origins and destinations were easy to locate for a large number of URT segments, a few show very complicated spatial distributions. Based on the bipartite URT usage network, a new layer of the understanding of a URT segment's vulnerability can be achieved by taking the difficulty of addressing the failure of a given segment into account. Two proof-of-concept cases are described here: Possible transfer of passenger flow to the road network is here predicted in the cases of failures of two representative URT segments in San Francisco.
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DOI：
10.1016/j.physa.2010.08.015
发表时间：
2010-12-15
影响因子：
3.3
作者：
Soh, Harold;Lim, Sonja;Wong, Limsoon
通讯作者：
Wong, Limsoon
影响因子：
8.6
作者：
Kurant, M;Thiran, P
通讯作者：
Thiran, P
影响因子：
56.9
作者：
Barabási, AL;Albert, R
通讯作者：
Albert, R
影响因子：
64.8
作者：
Albert, R;Jeong, H;Barabási, AL
通讯作者：
Barabási, AL
DOI：
10.1088/0305-4470/36/46/l03
发表时间：
2003-11-21
期刊：
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL
影响因子：
--
作者：
Helbing, D
通讯作者：
Helbing, D