scholarly journals Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China

2015 ◽  
Vol 7 (6) ◽  
pp. 6919-6936 ◽  
Author(s):  
Daniel Sun ◽  
Yuhan Zhao ◽  
Qing-Chang Lu
Keyword(s):  
Vulnerability Analysis ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Networks ◽  
Urban Rail

scholarly journals Vulnerability Assessments of Urban Rail Transit Networks Based on Redundant Recovery

2020 ◽  
Vol 12 (14) ◽  
pp. 5756
Author(s):  
Jianhua Zhang ◽  
Ziqi Wang ◽  
Shuliang Wang ◽  
Shengyang Luan ◽  
Wenchao Shao
Keyword(s):  
Construction Cost ◽  
Urban Rail Transit ◽  
Strength Parameter ◽  
Rail Transit ◽  
System Failures ◽  
Transit Networks ◽  
Vulnerability Assessments ◽  
Urban Rail ◽  
Recovery Scheme

Urban rail transit has received much attention in the last two decades, and a significant number of cities have established urban rail transit networks (URTNs). Although URTNs have brought enormous convenience to the daily life of citizens, system failures still frequently occur, therefore the vulnerability of URTNs must be a concern. In this paper, we propose a novel measurement called the node strength parameter to assess the importance of nodes and present a redundant recovery scheme to imitate the system recovery of URTNs subjected to failures. Employing three malicious attacks and taking the Nanjing subway network as the case study, we investigated the network vulnerability under scenarios of different simulated attacks. The results illustrate that passenger in-flow shows the negligible impact on the vulnerability of the node, while out-flow plays a considerable role in the largest strength node-based attack. Further, we find that vulnerability will decrease as passenger out-flow increases, and the vulnerability characteristics are the same with the increase in the construction cost of URTNs. Considering different attack scenarios, the results indicate that the highest betweenness node-based attack will cause the most damage to the system, and increasing the construction cost can improve the robustness of URTNs.

Scenario-Based Integrated Assignment Model for Bi-Class User Rail Transit Networks

2013 ◽  
Vol 361-363 ◽  
pp. 1963-1966
Author(s):  
Wei Zhu
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Networks ◽  
Assignment Model ◽  
Urban Rail ◽  
Proposed Model ◽  
Scale Network ◽  
Algorithm Framework ◽  
Real Scale

An integrated assignment model for urban rail transit (URT) networks was proposed and discussed in four typical scenarios with the consideration of passenger difference between native and non-native. An overall algorithm framework for the model was also developed, which introduced three critical route choice models and combined them appropriately to different scenarios. A case study was performed on a real-scale network of Shanghai during the Expo 2010. The results revealed that the proposed model can deliver more appropriate solution to the assignment problem compared to the existing practice in the real world.

scholarly journals Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e80178 ◽  
Author(s):  
Junjie Wang ◽  
Yishuai Li ◽  
Jingyu Liu ◽  
Kun He ◽  
Pu Wang
Keyword(s):  
Vulnerability Analysis ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Networks ◽  
Urban Rail

scholarly journals First Train Timetabling for Urban Rail Transit Networks with Maximum Passenger Transfer Satisfaction

2020 ◽  
Vol 12 (10) ◽  
pp. 4166 ◽  
Author(s):  
Xuan Li ◽  
Toshiyuki Yamamoto ◽  
Tao Yan ◽  
Lili Lu ◽  
Xiaofei Ye
Keyword(s):  
Waiting Time ◽  
Stated Preference ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Transit Networks ◽  
Bee Colony ◽  
Passenger Satisfaction ◽  
Urban Rail ◽  
Urban Rail Transit Network

This paper proposes a novel model to optimize the first train timetables for urban rail transit networks, with the goal of maximizing passengers’ transfer waiting time satisfaction. To build up the relationship of transfer waiting time and passenger satisfaction, a reference-based piecewise function is formulated with the consideration of passengers’ expectations, tolerances and dissatisfaction on “just miss”. In order to determine the parameters of zero waiting satisfaction rating, the most comfortable waiting time, and the maximum tolerable waiting time in time satisfaction function, a stated preference survey is conducted in rail transit transfer stations in Shanghai. An artificial bee colony algorithm is developed to solve the timetabling model. Through a real-world case study on Shanghai’s urban rail transit network and comparison with the results of minimizing the total transfer time, we demonstrate that our approach performs better in decreasing extremely long wait and “just miss” events and increasing the number of passengers with a relatively comfortable waiting time in [31s, 5min). Finally, four practical suggestions are proposed for urban rail transit network operations.

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