The paper considers the possibilities of using modern software products to solve the problems of computer (including geoinformation) design of public places in urban areas, first of all, the AutoCAD computer-aided design system. The identified features of program use, its advantages and disadvantages, strong features and problems are presented, proven ways to overcome the latter are indicated. Based on the analysis of the experience of several projects of designing public places in Saransk (the capital of the Republic of Mordovia), carried out by the authors on the basis of topographic surveys of different years accompished by employees of LLC “Geostroiziskaniya”, LLC “Cadastral Center”, LLC “RNITS”, materials are presented that give an idea of the options for incorrect and correct topography and illustrate the most common disadvantages of topographic bases, main steps of their processing and creation of a two-dimensional and three-dimensional topographic basis are shown on the example of the object “Novotroitsky shopping and office center”. A number of indirect problems is also identified, generally related to computer-aided design of public places in urban areas, including problems with the use of licensed software, and really proven ways to overcome them are shown. This allowed to develop and practically implement geoinformation technology for computer-aided design of public places in urban areas.

Irina A. Semina
Candidate of Geographical Sciences
Head of the Department of Physical and Social – Economic Geography
National Research Mordovia State University named after N.P. Ogarev
68, Bolshevistskaya Str., Saransk, 430005, Russia
e-mail: Isemina@mail.ru
ORCID 0000-0002-7468-3102

Olga E. Malakhova
Postgraduate student of the Department of Physical and Socio-Economic Geography
National Research Mordovia State University named after N.P. Ogarev
68, Bolshevistskaya Str., Saransk, 430005, Russia
e-mail: masterplan-landscape@yandex.ru
ORCID 0009-0001-1732-1922

Sergey A. Teslenok
Candidate of Geographical Sciences
Associate Professor of the Higher Ecological School Yugra State University
16, Chekhov Str., Khanty-Mansiysk, 628012, Russia
Associate Professor of the Department of Geodesy, Cartography and Geoinformatics
National Research Mordovia State University named after N.P. Ogarev
68, Bolshevistskaya Str., Saransk, 430005, Russia
e-mail: teslserg@mail.ru
ORCID 0000-0001-6691-3724
SPIN 4123-4836

Nataliya V. Yakovenko
Doctor of Geography
Professor, Director of the Research Institute of Innovative Technologies and the Forestry Complex of the Voronezh State University Forestry and Technologies named after G.F. Morozov
8, Timiryazev Str., Voronezh, 394087, Russia
e-mail: n.v.yakovenko71@gmail.com
ORCID 0000-0003-4203-0040

1. Artemeva O.V., Pozdnjakova N.A., Gnevashev F.A. Application of geoinformation mapping methods for urbanized territories using remote sensing data. Geoinformatika. 2022;3:4–14. https://DOI:.org/10.47148/1609-364X-2022-3-4-14.
2. Bol’shakov B.E., Kuznetsov O.L. Inzheneriya ustoichivogo razvitiya [Sustainable Development Engineering]. Moscow: RAEN; 2012. 507 p.
3. Gorobtsov S.R., Chernov A.V. 3D-modeling and visualization of urban territories with use of modern geodetic and programming means. Vestnik of the Siberian State University of Geosystems and Technologies. 2018;23(4):165–179.
4. Gura T.A., Utkina O.A. Using BIM technologies in construction and designing. Scientific Works of the Kuban State Technological University. 2018;(2):272–284.
5. Eremeev S.V., Egai M.V., Abakumov A.V. Geoinformation technology for road surface planning and accounting. Geoinformatika. 2022;(2):18-24. https://DOI:.org/10.47148/1609-364X-2022-2-18-24.
6. Zhukov V.T., Serbenyuk S.N., Tikunov V.S. Matematiko-kartograficheskoe modelirovanie v geografii [Mathematical and cartographic modelling in geography]. Moscow: Mysl’; 1980. 224 p.
7. Ivanov S.A., Nikolskaya K.Yu., Radchenko G.I., Sokolinsky L.B., Zymbler M.L. Digital Twin of a City: Concept Overview. Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering. 2020,9(4):5–23. DOI: 10.14529/cmse200401.
8. Informatsionnoe modelirovanie ob”ektov promyshlennogo i grazhdanskogo stroitel’stva [Information modeling of industrial and civil construction objects]. 2014. Available at: https://damassets.autodesk.net/content/dam/autodesk/www/campaigns/metro/img/bim_brochure.pdf (accessed 24.10.2023).
9. Knaub R.V., Ignatieva A.V. Using Microsoft Excel for mapping indicators of sustainable development of territories. Geoinformatika. 2021;(4):50–56. https://DOI:.org/10.47148/1609-364X-2021-4-50-56.
10. Kuklin D.D., Teslenok S.A. Methodology for calculating the volume of earth masses in construction using the module “Cartogram of earth masses” Сivil 3D. In: L Ogarevskie chteniya: materialy Vseros. s mezhdunar. uchastiem nauch. konf. (Saransk, 6-11 December 2021): in 3 pts. Pt. 2: Estestvennye nauki. Saransk: MGU im. N.P. Ogareva, 2022. pp. 524–531.
11. Kustov M.V., Teslenok S.A., Batin D.A. Aerial photography materials in the study of the agricultural landscapes relief (territory of Saransk urban district, the Republic of Mordovia). Dagestan State Pedagogical University Journal. Natural and exact sciences. 2022;16(1):76–85. DOI: 10.31161/1995-0675-2022-16-1-76-85.
12. Kuchukov R. CityClass project: analiz tipov gorodskoi zastroiki pri pomoshchi neiroseti [CityClass project. Analysis of types of urban development using a neural network]. Medium. 05.04.2017. Available at: https://romankuchukov.medium.com/cityclass-project-37a9ebaa1df7 (accessed 24.10.2023).
13. Lipka D. Neiroseti i machine learning na sluzhbe gorodov i ikh zhitelei [Neural networks and machine learning at the service of cities and their residents]. Rusability. 7.10.2019. Available at: https://rusability.ru/articles/neiroseti-i-machine-learning-na-sluzhbe-gorodov-i-ih-zhitelei/5fd296452dda593c3483ea27 (accessed 24.10.2023).
14. Lozhkin N.D. BIM design technologies. Colloquium-journal. 2020;11-1(63):17–20. DOI: 10.24412/2520-6990-2020-1163-17-20.
15. Manuxov V.F., Ivlieva N.G. About creation of cartographical images by means of GIS-packages. Pedagogical Informatics. 2015;(1):55–63.
16. Neironnye seti v proektirovanii. Osnovy i primenenie [Neural networks in design. Basics and application]. 09.07.2021. Available at: https://eneca.by/novosti/proektirovanie-inzhiniring/neyronnye-seti-v-proektirovanii-osnovy-i-primenenie?ysclid=lfifmv5u1q956033638 (accessed 24.10.2023).
17. Plugotarenko N.K., Varnavskiy A.N. Application of neural networks to build prediction model of urban air pollution. Ingineering journal of Don. 2012;4-2(23):10–13.
18. Primachenko E.I., Syromyatnikov D.S. Ispol’zovanie vozmozhnostei trekhmernogo modelirovaniya pri sozdanii turistskikh kart [Using 3D modeling in tourist map making]. Ogarev-online. 2023;(2):1–10. Available at: https://journal.mrsu.ru/arts/ ispolzova-nie-vozmozhnostej-trexmernogo-modelirovaniya-pri-sozda-nii-turistskix-kart (accessed 24.10.2023).
19. Primenenie neirosetei i mashinnogo obucheniya v oblasti urbanistiki: kratko o glavnom [Application of neural networks and machine learning in the field of urban studies: briefly about the main thing]. In: RPC INTEGRAL Ltd. 13.04.2022. Available at: https://integral-russia.ru/2022/04/13/primenenie-nejrosetej-i-mashinnogo-obucheniya-v-oblasti-urbanistiki-kratko-o-glavnom/?ysclid=lfifbbkd0797562883 (accessed 24.10.2023).
20. Nosonov A.M., Semina I.A. (eds.) Prostranstvennyi analiz i otsenka sotsial’no-ehkonomicheskogo razvitiya regiona [Spatial analysis and assessment of socio-economic development of the region]. Saransk: Saransk: Izd-vo Mordovskogo un-ta; 2016. 228 p.
21. Romanova T.A., Postuzhnaya I.R., Markovskii I.G. BIM-technologies: designing, construction, operation. Scientific Works of the Kuban State Technological University. 2019;1:156–164.
22. Sivkov A.A., Kolesnikov A.A. Possibilities of machine learning methods for forecasting the development of urban territories. Interexpo GEO-Siberia. 2020; 6(2):77–81. DOI: 10.33764/2618-981X-2020-6-2-77-81.
23. Teslenok K.S. Programmy dlya sozdaniya 3D-modelei naselennykh punktov [Programs for the creation of 3 D-models of settlements] In: Prirodno-sotsial’no-proizvodstvennye sistemy regionov kompaktnogo prozhivaniya finno-ugorskikh narodov. Saransk: Izd-vo Mordovskogo un-ta, 2011. pp. 304–306.
24. Teslenok K.S. Sozdanie geoinformatsionnogo proekta i ego ispol’zovanie v tselyakh razvitiya khozyaistvennykh sistem [Creation of the geoinformation project and its use for the development of economic systems]. In: Geoinformatsionnoe kartografirovanie v regionakh Rossii: materialy VII Vseros. nauch.-praktich. konf. (Voronezh, 10-12 December 2015). Voronezh: Nauchnaya kniga; 2015. pp. 134–138.
25. Teslenok S.A., Manukhov V.F., Teslenok K.S. Digital elevation modeling of the Republic of Mordovia. Geodezia i kartografia. 2019;80(7):30–38. DOI: 10.22389/0016-7126-2019-949-7-30-38.
26. Tikunov V.S., Tsapuk D.A. Ustoichivoe razvitie territorii: kartografo-geoinformatsionnoe obespechenie [Sustainable development of territories: cartographic and geoinformation support]. Moscow, Smolensk: SGU; 1999. 176 p.
27. Cherepanova E.S., Kiseleva E.S., Perminov S.I., Tarasov A.V. Mathematical-cartographic modeling in socio-economic mapping: peculiarities of data visualization. Geographical bulletin. 2017;2(41):137–147. DOI: 10.17072/2079-7877-2017-2-137-147.
28. Yakovenko N.V. The model of sustainable development and socio-economic monitoring of the city. Regional Environmental Issues. 2010;(3):118–126.
29. Yakovenko N.V., Veluga I.V. Strategic monitoring in system of integrated program of socio-economic development of the municipal education: theoretical approaches. In the world of scientific discoveries. 2011;4(16):262–267.
30.  Ahmed F.C., Sekar S.P. Using Three-Dimensional Volumetric Analysis in Everyday Urban Planning Processes. Applied Spatial Analysis and Policy. 2014;8(4):393–408. DOI: 10.1007/s12061-014-9122-2.
31. Arsanjani J.J., Helbich M., Vaz E. Spatiotemporal simulation of urban growth patterns using agent-based modeling: The case of Tehran. Cities. 2013;32:33–42. DOI: 10.1016/j.cities.2013.01.005.
32. Beknazarova S.S., Maxammadjonov M.A., Ibodullayev S.N.O. 3D modeling and the role of 3D modeling in our life. World science. 2016;3(7):28–31.
33. Chundeli F.A. Using 3D GIS as a Decision Support Tool in Urban Planning. In: ICEGOV ’17: Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance. 2017. P. 401–404. Available at: https://www.researchgate.net/publication/317202704_Using_3D_GIS_as_a_Decision_Support_Tool_in_Urban_Planning (accessed 04.01.2023). DOI: 10.1145/3047273.3047360
34. Jauhari S.C. Emerging Challenges and Strategies for Planning and Urban Development. In: Sixty National town & country planners congress: planning and development, 2025: challenges and reforms: technical papers (6th – 8th January, 2012 Mysore). Vol. 1. New Delhi, Institute of Town Planners: 2012. pp. 13–17.
35. Lammeren R., Houtkamp J., Colijn S., Hilferink M., Bouwman A. Affective appraisal of 3D land use visualization. Computers, Environment and Urban Systems. 2010;34(6):465–475. DOI: 10.1016/j.compenvurbsys.2010.07.001.
36. Luan X.-D., Xie Y.-X., Ying L., Wu L.-D. Research and Development of 3D Modeling. International Journal of Computer Science and Network Security. 2008;8(1):49–53.
37. Shiode N. 3D urban models: Recent developments in the digital modelling of urban environments in three-dimensions. GeoJournal. 2000;52:263–269. DOI: 10.1023/A:1014276309416.
38. Sivasamy M., Mutthaiah A.B., Senthilraj M., Balaji V., Banukumar K.D. Urban visualization – A case study of Vadaj, Ahmadabad, India. International Journal of Advances in Remote Sensing and GIS. 2012;1(1):31–39.
39. Xia Z., Qing Z., Wang J. 3D City Models Based Spatial Analysis to Urban Design. Geographic Information Sciences. 2004;10(1):82–86. DOI: 10.1080/10824000409480658.
40. Yin L. Integrating 3D Visualization and GIS in Planning Education. Journal of Geography in Higher Education. 2010;34(3):419–438. DOI: 10.1080/03098260903556030.
41. Yin L., Hastings J. Capitalizing on Views: Assessing Visibility Using 3D Visualization and GIS Technologies for Hotel 41. Development in the City of Niagara Falls, USA. Journal of Urban Technology. 2007;14(3):59–82. DOI: 10.1080/10630730801927483.