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

Zhiru Wang, Fangyan Niu, Lili Yang and Guofeng Su

Physica A: Statistical Mechanics and its Applications, 2020, vol. 537, issue C

Abstract: 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.

Keywords: Subway network; Evolution mechanism; Geographic location attraction; Complex network theory; Scale-free network; Network Modeling (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:537:y:2020:i:c:s0378437119315018

DOI: 10.1016/j.physa.2019.122625

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