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

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journal contribution
posted on 2020-02-21, 11:05 authored by Zhiru Wang, Fangyan Niu, Lili Yang, Guofeng Su
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.

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 Applications

Volume

537

Publisher

Elsevier

Version

  • 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

2019-09-17

Copyright date

2019

ISSN

0378-4371

Language

  • en

Depositor

Dr Lili Yang. Deposit date: 19 February 2020

Article number

122625

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