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.

Highlights

  • In recent years, regional integration, which takes the urban agglomeration as the main form, is a major feature of China’s regional economic and social development [1]

  • A simulation model of different damage scenarios is proposed according to different hazards in Beijing-Tianjin-Hebei region (BTHR), and the analysis of vulnerability of the whole planning rail transit network is important for identifying protection strategies

  • Two conventional methods are used for the identification of critical nodes based on complex network theory: 1. The node degree K is chosen as the measure of critical node identification to evaluate whether the correlation between nodes are high; 2

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Summary

Introduction

Regional integration, which takes the urban agglomeration as the main form, is a major feature of China’s regional economic and social development [1]. Rail transit, like other infrastructure, faces many threats, including natural disasters, terrorist attacks, or random failures, which calls for evaluation on the robustness in order to attain sustainable development within the area. A simulation model of different damage scenarios is proposed according to different hazards in BTHR, and the analysis of vulnerability of the whole planning rail transit network is important for identifying protection strategies. Based on the theory of vulnerability, scholars have studied the actual road network, public transportation network and rail transit network [7,12,13,14,15,16,17]. It is found that predecessors’ research is based on the evaluation of the vulnerability of the existing road network in a city, but that the robustness evaluation of the alternative path in the transportation development plans has not been studied. The method was used to evaluate the robustness implications of a substantial development plan of Stockholm multi-modal rapid urban rail network in 2025

Literature Review
Network Model
Critical Node Identification
Node Importance Measure Based on Network Centrality
Node Connectivity Reliability Measure Based on Monte Carlo Simulation
Critical Nodes Identification Considering Connectivity Reliability
Main Measures of Network Performance
Attacks Simulation
Vulnerability Assessment Model
Application and Result
Identifying the Critical Nodes
Findings
Rail Transit Network within Region Analysis
Full Text
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