Structural characteristics analysis and cascading failure impact analysis of urban rail transit network: From the perspective of multi-layer network

被引:46
作者
Yin, Dezhi [1 ,2 ,3 ,4 ]
Huang, Wencheng [1 ,2 ,3 ,4 ]
Shuai, Bin [1 ,2 ,3 ,4 ]
Liu, Hongyi [1 ,2 ,3 ,4 ]
Zhang, Yue [1 ,2 ,3 ,4 ]
机构
[1] Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 611756, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Inst Syst Sci & Engn, Chengdu 611756, Sichuan, Peoples R China
[3] Southwest Jiaotong Univ, Natl United Engn Lab Intergrated & Intelligent Tr, Chengdu 611756, Sichuan, Peoples R China
[4] Southwest Jiaotong Univ, Natl Engn Lab Integrated Transportat Big Data App, Chengdu 611756, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Urban rail transit network; Multi-layer network; Structural characteristics analysis; Cascading failure impact analysis; Passenger travel efficiency ratio; Passenger flow pressure of lines; VULNERABILITY; ASSIGNMENT; OPERATION; SUBWAY; SYSTEM;
D O I
10.1016/j.ress.2021.108161
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Most of the previous works abstracted the urban rail transit network (URTN) as a single-layer network, which does not fully consider the characteristic difference of each single line, the dependence among different lines, and the heterogeneity among different lines and transfer channels. Hence, we abstract each urban rail transit line as a single layer, the stations of the line are abstracted as nodes and the interval between adjacent stations is abstracted as an edge of a single-layer network. Transfer stations in different layers are connected and forms the transfer edges. Based on the established multi-layer directed weighted (time) network, we establish the structural characteristic analysis indexes including node degree, node betweenness, node efficiency, edge betweenness, layer betweenness and layer dependency. We add a new land layer network into the established multi-layer directed weighted network, and conduct cascading failure analysis on passenger travel considering node failure, edge failure and line failure, respectively. Two indicators including Passenger Travel Efficiency Ratio (PTER) and Passenger Flow Pressure of Lines (PFPL) are proposed to evaluate impact of cascading failure on network. A case study is conducted by using Chengdu Metro Network as the background. The results show that the proposed methodology is reasonable and effective.
引用
收藏
页数:14
相关论文
共 47 条
[1]  
Abdulaal M., 1979, Transportation Science, V13, P292, DOI 10.1287/trsc.13.4.292
[2]   A Multilayer perspective for the analysis of urban transportation systems [J].
Aleta, Alberto ;
Meloni, Sandro ;
Moreno, Yamir .
SCIENTIFIC REPORTS, 2017, 7
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]   Complex networks: Structure and dynamics [J].
Boccaletti, S. ;
Latora, V. ;
Moreno, Y. ;
Chavez, M. ;
Hwang, D. -U. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5) :175-308
[5]   The structure and dynamics of multilayer networks [J].
Boccaletti, S. ;
Bianconi, G. ;
Criado, R. ;
del Genio, C. I. ;
Gomez-Gardenes, J. ;
Romance, M. ;
Sendina-Nadal, I. ;
Wang, Z. ;
Zanin, M. .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2014, 544 (01) :1-122
[6]   A network-based framework for assessing infrastructure resilience: a case study of the London metro system [J].
Chopra, Shauhrat S. ;
Dillon, Trent ;
Bilec, Melissa M. ;
Khanna, Vikas .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2016, 13 (118)
[7]  
Cohen R, 2010, COMPLEX NETWORKS STR, P50
[8]   Characterizing metro networks: state, form, and structure [J].
Derrible, Sybil ;
Kennedy, Christopher .
TRANSPORTATION, 2010, 37 (02) :275-297
[9]  
Domenico MD, 2014, P ACM C WEB SCI, P14
[10]   Analysis of the Chinese Airline Network as multi-layer networks [J].
Du, Wen-Bo ;
Zhou, Xing-Lian ;
Lordan, Oriol ;
Wang, Zhen ;
Zhao, Chen ;
Zhu, Yan-Bo .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2016, 89 :108-116