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Social Dynamics Simulation Using a Multi-Layer Network

Author

Listed:
  • Nao Sugiki

    (Department of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi 4418580, Japan)

  • Shogo Nagao

    (Social Innovation Division, Transportation Planning Department, Pacific Consultants Co., Ltd., Tokyo 1018462, Japan)

  • Fumitaka Kurauchi

    (Department of Civil Engineering, Gifu University, Gifu 5011193, Japan)

  • Mustafa Mutahari

    (Department of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi 4418580, Japan)

  • Kojiro Matsuo

    (Department of Architecture and Civil Engineering, Toyohashi University of Technology, Toyohashi 4418580, Japan)

Abstract

The analysis and evaluation of urban structure are important while considering sustainable urban policies. It is necessary to develop a method that can easily analyze the social dynamics that are the result of changes over time in urban transportation and land use. Therefore, by describing the relationships between various agents in urban areas as a network, it is possible to analyze them by focusing on their structures. However, since there are few existing studies on social dynamics using network-based methods, it is necessary to examine the validity and effectiveness of these methods. The purpose of this study is to examine the possibility of urban analysis and evaluation focusing on the network shape by describing the urban activities and modeling the dynamics with a multilayer network. In particular, we focus on household composition and individual facility access, examine what kind of interpretation is possible for network indicators, and mention the applicability of complex networks to urban analysis. The model was applied to a two-dimensional grid virtual city, and the household composition and individual facility accessibility were quantified using the centrality index.

Suggested Citation

  • Nao Sugiki & Shogo Nagao & Fumitaka Kurauchi & Mustafa Mutahari & Kojiro Matsuo, 2021. "Social Dynamics Simulation Using a Multi-Layer Network," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13744-:d:701266
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    References listed on IDEAS

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    1. Liudan Jiao & Dongrong Li & Yu Zhang & Yinghan Zhu & Xiaosen Huo & Ya Wu, 2021. "Identification of the Key Influencing Factors of Urban Rail Transit Station Resilience against Disasters Caused by Rainstorms," Land, MDPI, vol. 10(12), pages 1-21, November.
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