A system of normative indicators as a tool for justifying planning decisions for residential areas at the land plot level
https://doi.org/10.31660/2782-232X-2025-2-35-49
EDN: idqnkk
Abstract
The relevance of this research stems from the need to revise the content of urban planning standards for cities in Western Siberia. The focus of the study was the residential development plot as an object of urban planning regulation. The authors considered 60 residential plots in Tyumen and Omsk (30 in each city) developed between 2009 and 2019. The study aimed to identify the mutual influence of land plot size, open space morphology, and planning characteristics on the type of land development. The application of factor and cluster analyses facilitated the identification of the underlying structure within the raw data, relevant to the context of design decision-making. Factor analysis was used to group the variables from the initial dataset into a two-factor model: the first factor comprised planning indicators, and the second – morphological characteristics. Cluster analysis enabled the classification of objects based both on the variables used in the factor analysis and on the urban planning indicators employed for evaluating the design solution.
About the Authors
Lyudmila V. Glebushkina
Industrial University of Tyumen
Russian Federation
Russian Federation
Lyudmila V. Glebushkina, Cand. Sci. (Engineering), Associate Professor, Associate Professor in the Department of Building Structures,
38, Volodarskogo St., Tyumen, 625000.
Natalia V. Ustyugova
Industrial University of Tyumen
Russian Federation
Russian Federation
Natalia V. Ustyugova, Senior Lecturer in the Department of Building Structures,
38, Volodarskogo St., Tyumen, 625000.
Polina V. Argimbaeva
Industrial University of Tyumen
Russian Federation
Russian Federation
Polina V. Argimbaeva, Assistant in the Department of Building Structures,
38, Volodarskogo St., Tyumen, 625000.
References
1. Travush V. I. Innovations and architecture. How to become a creator and a novator? Academia. Architecture and Construction. 2010;(4):7–16. (In Russ.) URL: https://cyberleninka.ru/article/n/innovatsii-i-arhitektura-kak-stat-tvortsom-i-novatorom/viewer.
2. Ovchinnikov I. G., Ovchinnikov I. I., Zhanaliev B. B., Kudaibergenov N. B. Issues of application of modern regulatory documents for the calculation of transportation structures. Architecture, Construction, Transport. 2024;(1):116-122. (In Russ.) https://doi.org/10.31660/2782-232X-2024-1-116-122
3. Smolyar I. M. Urban planning as a system: Forecasting – Programming – Design. Scientific monograph. RAASN. Moscow: Editorial URSS; 2001.164 p.
4. Kiyanenko K. V. On the object and subject of architecture and capital construction. Academia. Architecture and Construction. 2024;(3):53–59. (In Russ.) https://doi.org/10.22337/2077-9038-2024-3-53-59
5. Healey J. F. Statistics. A Tool for Social Research. 6th edition. Belmont, СА: Wadsworth, Thomson Learning; 2002.
6. Rubanenko B. R., Kartashova K. K., Tonskiy D. G. A residential cell in the future. Moscow: Stroyizdat; 1982. (In Russ.)
7. Glebushkina L. V., Shamarin A. S. Assessment of landscaping of courtyard spaces in the city of Omsk taking into account modern requirements. In: Molodaya mysl': nauka, tekhnologii, innovatsii. Bratsk: Bratsk State University; 2021. P. 45–48. (In Russ.)
8. Glebushkina L. V. Peretolchina L. V., Shamarin A. S. Provision of residential areas of large cities of Western Siberia with planning elements of improvement on the example of the city of Tyumen. Trudy Bratskogo gosudarstvennogo universiteta. Seriya: Yestestvennyye i inzhenernyye nauki. 2021;1:157–161. (In Russ.) URL: https://www.elibrary.ru/item.asp?id=46596892.
9. Nasledov A. D. SPSS. Computerized data analysis in psychology and social sciences. St. Petersburg: Piter; 2005. (In Russ.) URL: https://reallib.org/reader?file=720696.
10. Dubnov P. Yu. Processing statistical information with SPSS. Moscow: NT Press; 2004. (In Russ.) URL: https://djvu. online/file/R8nJaMff8ksi8.
11. Kim J.-О., Mueller C. Factor Analysis: Statistical Methods and Practical Issues. 1978; 60820883. https://doi.org/10.4135/9781412984256
12. Mityagin, S. D. Technological Optimization of Town-Planning Activity. Academia. Architecture and Construction. 2018;(1):67–72. (In Russ.) https://doi.org/10.22337/2077-9038-2018-1-67-72
13. Kraynyaya N. P. Qualitative differentiation of residential objects and urban planning standardization. In: Aktual'nyye problemy normirovaniya v oblasti arkhitektury i gradostroitel'stva. Moscow: URSS; 2002. P. 89–94. (In Russ.)
14. Kraynyaya N. P. Searching for sociality in the forming of the urban building. Academia. Architecture and Construction. 2009;(2):73–76. (In Russ.) https://cyberleninka.ru/article/n/k-poiskam-sotsialnosti-vformoobrazovanii-gorodskoy-zastroyki/viewer
15. Mityagin S. D. Legal disadvantages of urban planning activities. Academia. Architecture and Construction. 2024;(3):101–105. (In Russ.) https://doi.org/10.22337/2077-9038-2024-3-101-105
16. Generalov V.P., Generalova E.M. Comfortable living environment: classification problems under contemporary urban. Vestnik of the Orenburg State University. 2015; (5):128-131. (In Russ.) URL: http://vestnik.osu.ru/2015_5/21.pdf.
Review
For citations:
Glebushkina L.V., Ustyugova N.V., Argimbaeva P.V. A system of normative indicators as a tool for justifying planning decisions for residential areas at the land plot level. Architecture, Construction, Transport. 2025;5(2):35-49. (In Russ.) https://doi.org/10.31660/2782-232X-2025-2-35-49. EDN: idqnkk
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