Research on Evolution of Large Passenger Flow in Urban Metro Based on Anomalous Mobility Network

被引：0
|
作者：
Wang P. [1 ,2 ]
Zhou M.-N. [1 ,2 ]
Huang Z.-R. [1 ,2 ]
机构：
[1] School of Traffic and Transportation Engineering, Central South University, Changsha
[2] Rail Data Research and Application Key Laboratory of Hunan Province, Central South University, Changsha
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2020年 / 49卷 / 05期
关键词：
Anomalous mobility network; Complex network; Key node; Metro passenger flow; Network evolution;
D O I：
10.12178/1001-0548.2019294
中图分类号：
学科分类号：
摘要：
In order to reveal the evolutionary mechanism of large passenger flow in urban metro, this paper introduces the concept of anomalous mobility network. Complex network analysis is used to study the structural complexity and dynamic evolution of anomalous mobility networks under ordinary and large passenger flow situations in Shenzhen metro. In addition, this paper proposes an indicator to identify the key nodes of anomalous mobility network. Results show that the anomalous mobility network evolves from long-tailed indegree to long-tailed outdegree with the aggregation and the evacuation of passenger flows. There is a transition process between the scale-free network and the random network. This research can provide a reference for early warning of large passenger flow, passenger flow organization and management in urban metro. © 2020, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
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页码：732 / 738
页数：6
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