Modeling a subway network: A hot-point attraction-driven evolution mechanism

被引：4

作者：

Wang, Zhiru ^{[1
,2
]}

Niu, Fangyan ^{[3
]}

Yang, Lili ^{[2
,4
]}

Su, Guofeng ^{[5
]}

机构：

[1] Univ Sci & Technol Beijing, Dept Civil Engn Management, Sch Econ & Management, 30 Xueyuan Rd, Beijing 100083, Peoples R China

[2] Loughborough Univ, Dept Informat Syst & Emergency Management, Sch Business & Econ, Loughborough LE11 3TU, Leics, England

[3] Xi An Jiao Tong Univ, Sch Management, 28 Xianning West Rd, Xian 710049, Shaanxi, Peoples R China

[4] Southern Univ Sci & Technol, Dept Math, Shenzhen, Guangdong, Peoples R China

[5] Tsinghua Univ, Inst Publ Safety Res, 30 Shuangqing Rd, Beijing 100084, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2020年 / 537卷

关键词：

Subway network; Evolution mechanism; Geographic location attraction; Complex network theory; Scale-free network; Network Modeling; EMPIRICAL-ANALYSIS; URBAN;

D O I：

10.1016/j.physa.2019.122625

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This study proposes a hot-point attraction (HPA)-driven model considering both transfer station attraction and location centrality attraction and accompanies a random walk mechanism in a specified direction to meet the gap of the Barabasi-Albert (BA) model in subway network evolution. A comparative analysis between BA model and HPA-driven evolution model is performed via simulation experiment. The results show that the topological characteristics and average probability of access distance obtained by the HPA are more in agreement with the real subway network. (C) 2019 Elsevier B.V. All rights reserved.

引用

页数：13