Abstract: This study proposes a novel approach to evaluate the invulnerability of high-speed railway transportation networks based on revenue management theory.By constructing an optimization model for revenue management, the study quantifies capacity losses under different attack strategies and employs complex network theory to analyze the significance of key nodes and routes.To enhance the scientific rigor of the evaluation, a comparative analysis of existing invulnerability assessment methods-including topology-based analysis, robustness evaluation, and optimization-based approaches-was conducted on the basis of the preceding work.Numerical simulation results indicate that network invulnerability exhibits distinct characteristics under random and deliberate attacks, with losses at critical hub nodes significantly impacting overall network performance.Furthermore, empirical validation using data from the Beijing-Shanghai High-Speed Railway demonstrates that the constructed model effectively predicts capacity losses during unexpected disruptions and supports emergency scheduling decisions.These findings provide valuable theoretical insights for high-speed railway network planning, operational optimization, and emergency management.