Unknown

Dataset Information

Investigating the coupling relationships of railway safety risks using the N-K model and complex network theory.


ABSTRACT: To quantitatively analyze the coupling relationships between railway safety risk factors, identify key factors contributing to railway accidents, and develop scientific strategies for accident prevention, this study introduces a complex network-based N-K model to investigate the coupling relationships of railway safety risk factors. First, we identified 18 railway safety risk factors by analyzing case data from railway accidents. The occurrence probabilities and coupling values of these risk factors were then calculated using the N-K model. Subsequently, based on the constructed railway safety risk complex network, reachability and centrality analyses were performed to determine the key factors of railway safety risk. Results indicate that the occurrence of railway accidents is directly pr

SUBMITTER: Chen J 

PROVIDER: S-EPMC12453224 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature