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Sustainability 2017, 9(8), 1479; doi:10.3390/su9081479

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

1,2
,
1,* , 1
and
1,3
1
Institute of Transportation Engineering, Tsinghua University, Beijing 100084, China
2
National Defense University, Beijing 100858, China
3
Department of Management, Beijing Union University, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Received: 9 July 2017 / Revised: 15 August 2017 / Accepted: 15 August 2017 / Published: 21 August 2017
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Abstract

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. View Full-Text
Keywords: vulnerability analysis; connectivity reliability; critical node identification; Beijing-Tianjin-Hebei region (BTHR) vulnerability analysis; connectivity reliability; critical node identification; Beijing-Tianjin-Hebei region (BTHR)
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MDPI and ACS Style

Liu, J.; Lu, H.; Ma, H.; Liu, W. Network Vulnerability Analysis of Rail Transit Plans in Beijng-Tianjin-Hebei Region Considering Connectivity Reliability. Sustainability 2017, 9, 1479.

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