LAUSR

In the context of the urban agglomeration and the rapid development of rail transit, the planning of the Beijing-Tianjin-Hebei Region (BTHR) rail transit 2020 is attracting attention. The BTHR is a natural disaster-prone area and a high-risk area for terrorist attacks; the robustness of the area is critical to the sustainable development of North China. Therefore, it is necessary to analyze the vulnerability of the regional planning rail transit network. This paper builds a model of planning regional rail transit in BTHR. A critical node recognition measure is designed according to the connectivity reliability of nodes. The method of Monte Carlo simulation of node connectivity reliability is applied based on link connectivity probability. In addition, a model of detecting multi-measure recognition and detecting Core-Nodes is proposed. Finally, the paper analyzes the impact of multiple attack modes on the network performance from the aspects of network performance within region and transit demand outside the region, and analyzes the vulnerability of the BTHR planning rail transit network.