INFORMATION AND ANALYTICAL PROVISION OF URBAN DEVELOPMENT OF TERRITORIAL COMMUNITIES AND AGGLOMERATIONS

Authors

  • K. Viatkin Харківський національний університет міського господарства імені О.М. Бекетова
  • A Kolodеzny Харківський національний університет міського господарства імені О.М. Бекетова
  • A Rudenko Харківський національний університет міського господарства імені О.М. Бекетова
  • A. Cherepynets Харківський національний університет міського господарства імені О.М. Бекетова
  • N Moroz Харківського національного університету міського господарства імені О.М. Бекетова

DOI:

https://doi.org/10.33042/2522-1809-2024-6-187-158-162

Keywords:

territorial development, urban planning, urban construction, territorial planning, agglomerations, sustainable development, territorial development potential

Abstract

The rapid pace of urbanization, climate change, and economic challenges have heightened the importance of
effective urban management, especially in territorial communities and agglomerations. Ensuring sustainable
development requires advanced information-analytical tools for decision-making processes. Current systems of urban
planning often suffer from inadequate integration of data and limited use of modern analytical technologies, which
constrains effective governance and planning. The proposed solutions can enhance the quality of urban management
by providing comprehensive, timely, and reliable data. This will facilitate more accurate forecasts, strategic planning,
and the sustainable development of territories. The study aims to develop and test a model for an integrated system of
information-analytical support to enhance urban development management for territorial communities and
agglomerations. The research involved analyzing current methods and tools for data collection, processing, and
analysis; developing a model for the integrated system; and assessing its applicability through practical scenarios.
The object of the study is the urban development processes of territorial communities and agglomerations, while the
subject is the information-analytical support system used in urban management. The study employed a combination
of qualitative and quantitative analysis, geospatial modeling, data integration techniques, and predictive modeling
using machine learning algorithms. The findings highlight the effectiveness of a comprehensive approach that
integrates various data sources and technologies, offering valuable insights for improving decision-making and
resource allocation. By leveraging diverse datasets, this approach enables more accurate and timely responses to
urban challenges, fostering sustainable development. Future research should focus on further refining the model,
enhancing data standardization, and ensuring security and accessibility to promote efficient urban management
practices in Ukraine and beyond. Additionally, it will be essential to explore the potential for scalability, adapting the
model to different urban contexts while maintaining flexibility and responsiveness to local needs. Collaboration
between government, academia, and the private sector will be key to driving this innovation forward.

Author Biographies

K. Viatkin, Харківський національний університет міського господарства імені О.М. Бекетова

Кандидат технічних наук, доцент, кафедра міського будівництва

A Kolodеzny , Харківський національний університет міського господарства імені О.М. Бекетова

аспірант, кафедра міського будівництва

A Rudenko , Харківський національний університет міського господарства імені О.М. Бекетова

аспірант, кафедра Міського будівництва

A. Cherepynets , Харківський національний університет міського господарства імені О.М. Бекетова

аспірант кафедра Міського будівництва

N Moroz , Харківського національного університету міського господарства імені О.М. Бекетова

старший викладач кафедри міського будівництва

References

Teng, T. and Qu, C. (2018), "Urban Landscape Design Based on Sustainable Development Innovation", Open House International, Vol. 43 No. 1, pp. 68-72. https://doi.org/10.1108/OHI-01-2018-B0014 [in English]

Shi, J. and Liang, N. (2019), "Petroleum ResourcesBased Urban Ecological Planning and Development. Research Based on Green Growth and Economic Transition", Open House International, Vol. 44 No. 3, pp. 68-71. https://doi.org/10.1108/OHI-03-2019-B0018 [in English]

Li, Y. (2014), "Sustainable Cities in Flux: Continuity, Comparisons, and Conceptions", From Sustainable to Resilient

Cities: Global Concerns and Urban Efforts (Research in Urban Sociology, Vol. 14), Emerald Group Publishing Limited, Leeds,pp. 7-31. https://doi.org/10.1108/S1047-004220140000014001 [in English]

Yigitcanlar, T. (2009), "Planning for knowledge‐based urban development: global perspectives", Journal of Knowledge Management, Vol. 13 No. 5, pp. 228-242. https://doi.org/10.1108/13673270910988079 [in English]

Chisumbe, S., Aigbavboa, C.O., Mwanaumo, E. and Thwala, W.D. (2024), "Conceptual Framework Underpinning

Urban Housing Development", A Neoliberal Framework for Urban Housing Development in the Global South, Emerald Publishing Limited, Leeds, pp. 127-154. https://doi.org/10.1108/978-1-83797-034-620241007 [in English]

Gassmann, O., Böhm, J. and Palmié, M. (2019), "Smart City Lighthouse Projects", Smart Cities, Emerald Publishing Limited, Leeds, pp. 67-151. https://doi.org/10.1108/978-1-78769-613-620191010 [in English]

Published

2024-12-17

How to Cite

Viatkin, K., Kolodеzny A., Rudenko , A., Cherepynets , A., & Moroz , N. (2024). INFORMATION AND ANALYTICAL PROVISION OF URBAN DEVELOPMENT OF TERRITORIAL COMMUNITIES AND AGGLOMERATIONS. Municipal Economy of Cities, 6(187), 158–162. https://doi.org/10.33042/2522-1809-2024-6-187-158-162

Issue

Section

статьи