摘要
Against the backdrop of China's High-Speed Rail(HSR)network achieving global leadership in scale(48,000 km,70%worldwide)yet facing structural fragility,disaster-chain coupling,and regional imbalance,this study constructs a"structural resilience-propagation dynamics-intelligent governance"trinity framework.By integrating multi-layer coupled network theory,this paper develop:(1)A spatiotemporal-weighted betweenness centrality algorithm dynamically identifying critical nodes using Beidou data;(2)A multi-layer SEIR model quantifying epidemic-economic dual diffusion with linear threshold mechanisms;(3)A reinforcement learning framework optimizing anti-siphoning policies.Key findings reveal:Wuhan hub fault recovery time reduced by 50%through backup topology,Beijing West Station achieved 89%epidemic blocking via dual-channel quarantine,and the Chengdu-Chongqing regional Gini coefficient decreased 29%via frequency regulation.The paradigm shift from static planning to real-time adaptive governance offers a"China solution"for global railway resilience,evidenced by magnetic levitation standards(e.g.,18%energy savings in Saudi NEOM line)and multi-disaster defense systems(35%faster ASEAN flood recovery).
