Robustness assessment of urban rail transit based on complex network theory: A case study of the Beijing Subway

2015 ◽  
Vol 79 ◽  
pp. 149-162 ◽  
Author(s):  
Yuhao Yang ◽  
Yongxue Liu ◽  
Minxi Zhou ◽  
Feixue Li ◽  
Chao Sun
2020 ◽  
pp. 2150075
Author(s):  
Junwei Zeng ◽  
Yongsheng Qian ◽  
Xiaodi Liu ◽  
Chaoyang Zhang ◽  
Dejie Xu ◽  
...  

The rapid development of new urbanization boosts the pace of urban rail transit (URT) network construction. The new-built lines not only facilitate people’s daily travel, but also change the reliability of the original network. In this paper, based on the complex network theory, the static characteristics of Tianjin URT represented by the current and forward networks are analyzed. The global efficiency is selected as the evaluation index to analyze the evolution characteristics of the network. The results show that Zhigu station and Xiawafang station are more vulnerable in the current network, while Zhangxingzhuang station and Jinzhonghe street station are the key stations in the forward network, and need to be paid more attention. Meanwhile, the lines M9 and Z2 as the key lines in the long-term network and their reliability must be ensured.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shiping Wen ◽  
Jiangang Shi ◽  
Wei Zhang

Urban rail transit can improve a city’s accessibility. However, high construction and operation costs restrict the development of urban rail transit. Value capture recoups the additional value that the investments of urban rail transit confer to local land and is considered to be an effective measure to alleviate this financial problem. Understanding the land value uplift effects of urban rail transit is essential for understanding value capture. This study applied a Space-P model of urban rail transit network based on complex network theory and demonstrated the influence of urban rail transit network characteristics on residential and commercial land prices. The model was tested with eight metropolises in China, using the 2003 to 2022 timeframe as the context. The results showed a significant positive correlation between the number of nodes and the land prices, the average clustering coefficient was highly positively correlated with the land prices, and there was a significant negative correlation between the average path length and the land prices. This study provides theoretical support for value capture, is beneficial for urban rail transit planning, and supports improvements in the development quality of urban rail transit networks.


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