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

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.

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Publication Details

Journal
Sustainability
Published
2025-01-29
DOI
https://doi.org/10.3390/su17031095
Citations
3
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
25.57
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article

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

А. С. Бородулин, В С Тынченко, Vladimir Nelyub, Andrei Gantimurov et al.
3 citations
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article

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

А. С. Бородулин, В С Тынченко, Vladimir Nelyub, Andrei Gantimurov, Andrey Velichko, Aleksandr Abramov, Ivan Pavlovich Malashin, Uliana Gorik, Aleksandr Samoshkin
article en
3 citations

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.

SustainabilityVol. 17(3)
Bauman Moscow State Technical University (RU), Far Eastern Federal University (RU)
Openalex Percentile: Top 1%
Regional Development and Policy
25.57
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