中文摘要：

物流是国民经济发展的动脉,货运高铁是未来一段时间我国物流建设的重要组成部分。文章以客运高铁数据为研究对象,基于超网络方法,建立中国高铁物流超网络模型,分析高铁超网络的静态特性及鲁棒性,识别出高铁物流超网络中的关键站点及线路。研究发现：超网络建模不仅可以评价站点的重要性,而且可以评价线路的重要性;基于超网络关联矩阵的动态最短超路径算法,可以动态地量化、识别、预测高铁物流网络中节点和线路的鲁棒性指标。这些研究成果可对未来货运高铁配送中心的选址及可靠性管理发挥指导作用。

英文摘要：

Logistics is the artery of national economic development, freight high-speed railway is the next period of time an important part of China＇s logistics construction. Based on the hypernetwork method, this paper establishes the Chinese high-speed rail logistics hypernetwork model, analyzes the static characteristics and dynamic robustness characteristics of the high-speed railway network, and identifies the key sites and lines in the high-speed rail logistics network. It is found that the hypernetwork modeling can not only evaluate the importance of the station, but also evaluate the importance of the line. The dynamic shortest path algorithm based on the hypernetwork association matrix can dynamically quantify, identify and forecast the importance of nodes and lines in the highspeed railway logistics network. These findings can guide the location of future freight high-speed rail distribution centers and reliability management of the high-speed railway logistics network.