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Barabási–Albert-Based Network Growth Model to Sustainable Urban Planning

Author

Listed:
  • Aleksandr Abramov

    (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia)

  • Uliana Gorik

    (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia)

  • Andrei Velichko

    (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia)

  • Vladimir Nelyub

    (Scientific Department, Far Eastern Federal University, 690922 Vladivostok, Russia
    Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Aleksandr Samoshkin

    (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Andrei Gantimurov

    (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Aleksei Borodulin

    (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Vadim S. Tynchenko

    (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

  • Ivan Malashin

    (Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia)

Abstract

Urban planning and development require methodologies to address the challenges of managing urban growth. This study uses Vladivostok as a case study to explore urban evolution and apply predictive models for socio-economic development. By analyzing the life cycle of the city and breaking down its growth processes into key components, specific patterns and strategies tailored to Vladivostok’s development are identified. The Barabási–Albert (BA) network growth model is used to study the temporal dynamics of the city’s urban network, enabling forecasts and optimization of its infrastructure, communication systems, and social environment. The approach shown in this study can be adapted to other cities, providing a framework for analyzing urban changes and supporting the development of strategies for sustainable growth and urban management.

Suggested Citation

  • Aleksandr Abramov & Uliana Gorik & Andrei Velichko & Vladimir Nelyub & Aleksandr Samoshkin & Andrei Gantimurov & Aleksei Borodulin & Vadim S. Tynchenko & Ivan Malashin, 2025. "Barabási–Albert-Based Network Growth Model to Sustainable Urban Planning," Sustainability, MDPI, vol. 17(3), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1095-:d:1579555
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    References listed on IDEAS

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