Modeling a subway network: A hot-point attraction-driven evolution mechanism
journal contributionposted on 21.02.2020 by Zhiru Wang, Fangyan Niu, Lili Yang, Guofeng Su
Any type of content formally published in an academic journal, usually following a peer-review process.
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 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.
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)
- Business and Economics