Citation

Ma L, Hu C, Chen G. China Saf. Sci. J. 2022; 32(6): 178-185.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.06.1492

PMID

unavailable

Abstract

In order to model and analyze performance of REFTN, method of modeling undirected and unweighted complex network of REFTN (UUCN-REFTN) in L-space, comprehensive importance evaluation index of nodes and network robustness analysis method considering node failure based on comprehensive importance indexes were proposed. Based on timetable and wagon-flow data, UUCN-REFTN was established and its topological characteristics and static robustness were analyzed. The results show that REFTN has typical small-world, scale-free and congeneric matching characteristics at present in China. Random failure of nodes has less impact on network robustness generally, and largest-comprehensive-importance attack makes it more vulnerable than largest-degree attack and largest-betweenness attack. When proportion of stations under largest-degree attack reaches 38%, the network will completely collapse. © 2022 China Safety Science Journal. All rights reserved.

Language: zh