Manuscript_final_r2(1).pdf (1.1 MB)
Modeling a subway network: A hot-point attraction-driven evolution mechanism
journal contribution
posted on 2020-02-21, 11:05 authored by Zhiru Wang, Fangyan Niu, Lili Yang, Guofeng SuThis 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 Barabási-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.
Funding
Natural Science Foundation of Beijing Municipality (L181009 and 9194028)
Humanities and Social Science Fund of Ministry of Education of China (18YJC630193)
Fundamental Research Funds for the Central Universities of University of Science and Technology Beijing (2015M570121)
History
School
- Business and Economics
Department
- Business
Published in
Physica A: Statistical Mechanics and its ApplicationsVolume
537Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© Elsevier B.V.Publisher statement
This paper was accepted for publication in the journal Physica A: Statistical Mechanics and its Applications and the definitive published version is available at https://doi.org/10.1016/j.physa.2019.122625.Publication date
2019-09-17Copyright date
2019ISSN
0378-4371Publisher version
Language
- en