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

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.