Research on influencing factors of rainstorm waterlogging resilience at rail transit stations based on complex network

doi:10.16265/j.cnki.issn1003-3033.2025.06.0726

Abstract

Abstract:

To enhance the operational stability of urban rail transit stations during rainstorms and waterlogging for safe resident travel, a method for evaluating the importance of resilience influencing factors was proposed based on complex networks. Based on the definition and connotation of resilience, 23 influencing factors of rainstorm waterlogging resilience were extracted from four aspects of stability, robustness, resilience and adaptability. The complex network of influencing factors of resilience was constructed according to the influence relationship between influencing factors. The evaluation index system for the importance of these factors was established, including degree centrality (DC), closeness centrality (CC), betweenness centrality (BC), and clustering coefficient. The order relation analysis method(G1)-Coefficient of Variation (CV) combination weighting method was used to weight the index, and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)method was used to identify the key influencing factors. The results show that risk monitoring and early warning system, mobile communication equipment, water retaining capacity of stations, maintenance and repair frequency of flood control equipment, emergency power supply equipment, professional level of flood control staff, drainage capacity of stations, and frequency of flood control training and drilling are the key factors influencing the resilience of urban rail transit stations. The research results can provide new ideas and targeted suggestions for the emergency waterlogging prevention strategies of urban rail transit stations in the rainstorm waterlogging scenario.

Key words: complex network, rail transit stations, rainstorm waterlogging, resilience, influencing factors

CLC Number:

X951交通运输安全

MA Liqiang, ZHAO Ang, ZHENG Binbin. Research on influencing factors of rainstorm waterlogging resilience at rail transit stations based on complex network[J]. China Safety Science Journal, 2025, 35(6): 142-147.

Figures/Tables 7

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因素	F₁	F₂	F₃	F₄	F₅	F₆	F₇	F₈	…	F₂₂	F₂₃
F₁	0	0	1	0	1	1	0	0	…	0	0
F₂	0	0	1	1	0	0	0	0	…	0	0
F₃	1	1	0	1	0	0	0	0	…	0	0
F₄	1	1	0	0	0	1	0	0	…	0	0
F₅	1	1	0	1	0	0	0	0	…	0	0
F₆	0	0	1	1	0	0	0	0	…	0	0
F₇	0	0	0	0	0	0	0	1	…	0	0
F₈	0	0	0	0	0	0	0	0	…	0	0
︙	︙	︙	︙	︙	︙	︙	︙	︙		︙	︙
F₂₂	0	0	0	0	0	0	0	0	…	0	0
F₂₃	0	1	1	1	1	1	0	0	…	1	0

属性	因素	DC_j	CC_j	BC_j	E_j
稳定性	F₁	0.273	0.413	14.83	0.417
	︙	︙	︙	︙	︙
	F₅	0.273	0.412	1.500	0.400
	F₆	0.318	0.451	3.670	0.367
抵抗性	F₇	0.227	0.39	1.500	0.450
	︙	︙	︙	︙	︙
	F₁₂	0.182	0.330	0	0.500
恢复性	F₁₃	0.682	0.400	43.330	0.214
	︙	︙	︙	︙	︙
	F₁₈	0.636	0.783	0	0.220
适应性	F₁₉	0.182	0.366	0	0.583
	︙	︙	︙	︙	︙
	F₂₃	0.636	0.791	0	0.220

权重	DC	CC	BC	聚类系数
ω_ai	0.268	0.223	0.159	0.350
ω_bi	0.224	0.238	0.368	0.170
ω_i	0.255	0.240	0.252	0.253

因素	S_j	R_j	Q_j
F₁	0.73	0.21	0.59
F₂	0.57	0.18	0.26
F₃	0.59	0.20	0.42
F₄	0.47	0.16	0.05
F₅	0.79	0.25	0.83
F₆	0.76	0.24	0.77
F₇	0.79	0.25	0.84
︙	︙	︙	︙
F₂₂	0.91	0.26	1
F₂₃	0.59	0.25	0.66