China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (3): 45-54.doi: 10.16265/j.cnki.issn1003-3033.2024.03.0658

• Safety engineering technology • Previous Articles     Next Articles

Operational safety resilience measure for public transportation equipment and facility systems based on CN-FRAM

SHEN Ling1(), TANG Lingyi2,**(), LIAO Jie1   

  1. 1 School of Civil Engineering, Sanjiang University, Nanjing Jiangsu 210012, China
    2 School of Civil Engineering, Southeast University, Nanjing Jiangsu 211189, China
  • Received:2023-09-04 Revised:2023-12-09 Online:2024-03-28 Published:2024-09-28
  • Contact: TANG Lingyi


Equipment and facility failures were the primary cause of safety accidents in public transportation systems. In order to better quantify and enhance the safety resilience of systems, CN-FRAM operational safety resilience measurement model, integrating CN and FRAM, were proposed. System resilience was defined as the ratio of system performance loss to performance baseline under perturbations. Firstly, based on the composition and functional nodes of the equipment and facility system, a CN was established. Secondly, the FRAM model was embedded into the CN to expand nodes and connections, constructing the CN-FRAM model. Then, based on the CN-FRAM resilience measurement model, the aggregation of functional changes between system components was analyzed, and when quantifying system resilience, the overall efficiency of the network and the degree of coupling between components were considered comprehensively. Finally, using the metro signal system in Nanjing as an example, the feasibility and effectiveness of the method were validated. The results show that the model can quantify the resilience of the system throughout the disruption-recovery process, calculate the impact of failures on the system, and maximize resilience values as the objective, demonstrating resilience performance under different repair strategies, thereby providing a basis for determining the optimal recovery sequence. Compared with existing methods, the optimal recovery strategies identified by this method can significantly reduce the overall performance loss caused by failures, thus enhancing system resilience.

Key words: complex network(CN) and functional resonance analysis method (FRAM), public transportation systems, equipment and facilities system, safe and resilient operation, resilience measurement method

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