Stability of Beijing rail transit network under the impact of large passenger flow(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2018年01期
- Page:
- 98-104
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Stability of Beijing rail transit network under the impact of large passenger flow
- Author(s):
- SUN Li-shan; HUANG Yu-chen; GONG Qing-sheng; ZHANG Tian-qi; YAO Li-ya
- 1. Key Laboratory of Advanced Public Transportation Science of Ministry of Transport, Beijing University of Technology, Beijing 100124, China; 2. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
- Keywords:
- traffic engineering; rail transit; network efficiency model; complex network; network stability; passenger-flow propagation model
- PACS:
- U495
- DOI:
- -
- Abstract:
- In order to reduce the operation instability of rail transit station, optimize the structure of rail transit network and improve the efficiency of network operation, the stability of rail transit operation under the impact of large passenger flow was studied. Taking Beijing rail transit network as an example, Beijing rail transit network model with rail stations as nodes and adjacent stations as edges was constructed by using Space L method. The characteristic parameters and distribution rules of node degree, average path length, clustering coefficient, network diameter and network efficiency were simulated and analyzed. According to the type of accidents, these stations were divided into site operation weakened and operation disrupted, respectively. Base on passenger-flow propagation model and network efficiency model, the simulation quantified the network stability under the background of different event types. The results show that Beijing rail transit network is a scale-free network. The accessibility of rail transit network is better and clustering coefficient of it is small，but connectivity of it should be improved. And when site operation is weakened because of the large passenger flow in Beijing transit network, if the number of adjacent station is not more than 7, passenger-flow propagation state in network can regress, or negative correlation is observed between the number of adjacent station and the fading time. When transfer station is disrupted, the value of network efficiency will decrease significantly. The importance coefficient of the damaged site has the greatest impact on network efficiency in the range of (0.75,1], and the least in the range of (0,0.5]. The research results provide a basis for timely finding the key points and weak links of rail network, ensuring the safety operation of urban rail transit network under the background of super passenger flow, and providing a decision support for the development of emergency plan of Beijing rail transit network under the impact of large passenger flow.
Last Update: 2018-02-06