文献类型：期刊文献

英文题名：Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability

作者：Liu, Jing[1,2];Lu, Huapu[1];Ma, He[1];Liu, Wenzhi[1,3]

第一作者：Liu, Jing

通讯作者：Lu, HP[1]

机构：[1]Tsinghua Univ, Inst Transportat Engn, Beijing 100084, Peoples R China;[2]Natl Def Univ, Beijing 100858, Peoples R China;[3]Beijing Union Univ, Dept Management, Beijing 100101, Peoples R China

第一机构：Tsinghua Univ, Inst Transportat Engn, Beijing 100084, Peoples R China

通讯机构：[1]corresponding author), Tsinghua Univ, Inst Transportat Engn, Beijing 100084, Peoples R China.

年份：2017

卷号：9

期号：8

外文期刊名：SUSTAINABILITY

收录：;WOS:【SSCI(收录号:WOS:000408861800193)，SCI-EXPANDED(收录号:WOS:000408861800193)】；

基金：This research was funded by the Beijing Science and Technology Project (No. Z161100001116093).

语种：英文

外文关键词：vulnerability analysis; connectivity reliability; critical node identification; Beijing-Tianjin-Hebei region (BTHR)

摘要：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.