Assessment of the indirect economic effect of road traffic management during the construction of the Soyuz microdistrict in the Irkutsk city plan
https://doi.org/10.21285/2227-2917-2025-4-612-620
EDN: BJEVCJ
Abstract
The article examines the problems of economic losses associated with the impact of multistorey buildings on the adjacent street and road network. A general assessment of the current state of the considered issues is given both in Russia and abroad. The works and solutions to the problem under consideration are given in well-known publications and manuals. The research results of the Soyuz microdistrict, located in the Irkutsk city plan, are proposed. Its generating capacity, the proportion of visitors arriving by private road transport, its average occupancy and duration of parking are estimated. Special attention is paid to calculating the coefficients of daily unevenness, which show the uneven distribution of transport demand to the territory under consideration. A theoretical aspect of assessing transport demand is proposed, consisting of the generating capacity of multi-storey residential buildings, its distribution in the time aspect and the total intensity of individual motor transport. The calculation of the time
losses of road users at the powering intersection of the Soyuz microrail was performed. Based on economic criteria expressed through an assessment of traffic delays, an assessment of the indirect economic
effect is given in the absence of traffic management measures at the intersection in question. Ways to
reduce the loss of time by individual-use road transport through measures to improve the efficiency of
traffic management in the zone of influence of the Soyuz microdistrict are considered.
About the Authors
A. V. ZedgenizovRussian Federation
Anton V. Zedgenizov,
Dr. Sci. (Eng.), Associate Professor, Professor of the Department of Oil and Gas Engineering
83 Lermontov St., Irkutsk 664074
Author ID: 504187
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
A. N. Zedgenizova
Russian Federation
Alla N. Zedgenizova,
Cand. Sci. (Eng.), Associate Professor of the Department of Real Estate Expertise and Management
83 Lermontov St., Irkutsk 664074
Author ID: 1306290
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
V. R. Chupin
Russian Federation
Victor R. Chupin,
Dr. Sci. (Eng.), Professor, Head of the Department of Urban Construction and Economy
83 Lermontov St., Irkutsk 664074
Author ID: 475565
Competing Interests:
The authors declare no conflict of interests regarding the publication of this article.
References
1. Vuchik V.R. Transport in Livable Cities, 2011. 413 p. (Russ. еd.: Transport v gorodakh udobnykh dlya zhizni. Moscow: Territory of the Future; 2011, 413 p.).
2. Khitrova T.I., Korotenko A.P. Development of Transport Projects in the Irkutsk Region Based On Transport Demand Models. Bulletin of Baikal State University. 2021;31(1):34-42. (In Russ.). https://doi.org/10.17150/2500-2759.2021.31(1).34-42. EDN: TSFIFJ.
3. Losin L.A., Bulycheva N.V. Comparative Analysis of Transport Demand and Offer in Models of Transport Systems of Urban Agglomerations. Proceedings of Petersburg Transport University. 2023;20(4):943-953. (In Russ.). https://doi.org/10.20295/1815-588X-2023-4-943-953. EDN: TZLEPI.
4. Lebedeva O.A., Kulakova I.M., Erofeev E.V. Solving Problem of Assessing Transport Demand by Using Optimization Approaches. Modern Technologies and Scientific and Technological Progress. 2025;12:177-178. (In Russ.). EDN: OPIONW.
5. Lebedeva O.A. Selecting A Model for Assessing Transport Demand Taking into Account Input Data. Modern Technologies and Scientific and Technological Progress. 2025;12:169-170. (In Russ.). EDN: OXXZHL.
6. Golovnin O.K. Data Federation through On-Demand Queries in Intelligent Transport Systems. Journal of Physics: Conference and Series. 2020;1694:1-8. https://doi.org/10.1088/1742-6596/1694/1/012030. EDN: CUVZXC.
7. Kakar K.A., Prasad C.S.R.K. Impact of Urban Sprawl on Travel Demand for Public Transport, Private Transport Walking. Transportation Research Procedia. 2020;48:1881-1892. https://doi.org/10.1016/j.trpro.2020.08.221.
8. Liu Z.Y., Li C.B., Jian M.Y. Study on the Equilibrium Discriminant Model of Urban Agglomeration Transport Supply and Demand Structure. Journal of Advanced Transportation. 2018;2018(1):1-10. https://doi.org/10.1155/2018/2051606.
9. Zedgenizov A.V. Assessment of The Quality of Traffic Organization Based on Transport Demand: Monograph. Irkutsk: Publishing house of Irkutsk National Research Technical University, 2019. 194 p. (In Russ.).
10. Zedgenizov A.V. Traffic Management on the Basis on Estimation of Transport Demand to the Centers of Mass Gravity by the Parameters of Their Location on Urbanized Territories. In: Transportnoe planirovanie i modelirovanie. Sbornik trudov IV Mezhdunarodnoi nauchno-prakticheskoi konferentsii = Transport planning and modeling. Proceedings of the IV International Scientific and Practical Conference. 11–12 April 2019, Saint Petersburg. Saint Petersburg; 2019. P. 68–72. (In Russ.). EDN: BWOCVD.
11. Karablin O.V. About the Peculiarities of the Formation of the Transport System and Rostov Agglomeration Transport Demand. Bulletin of Transport Information. 2021;9:38-44. (In Russ.). EDN: TSRPBM.
12. Zakharov D.A. Spatial Unevenness of the Transport Demand Distribution for Movement by Private and Public Traffic Transportation in the Districts of the City of Tyumen. Bulletin of Civil Engineers. 2023;3:114-122. (In Russ.). https://doi.org/10.23968/1999-5571-2023-20-3-114-122. EDN: MSKEZX.
13. Babich T.G., Testeshev A.A. Substantiation of Parametric Characteristics of a Formalized Model of Transport Demand on Streets with Irregular Traffic // Bulletin of Civil Engineers. 2022;5:99-108. (In Russ.). https://doi.org/10.23968/1999-5571-2022-19-5-99-108. EDN: AUIIUF.
14. Saxena N., Rashidi T., Rey D. Determining the Market Uptake of Demand Responsive Transport Enabled Public Transport Service. Sustainability. 2020;12(12):1-18. https://doi.org/10.3390/su12124914.
15. Cyril A., Mulangi R.H., George V. Demand-Based Model for Line Planning in Public Transport // Transportation Research Procedia. 2020;48:2589-2596. https://doi.org/10.1016/j.trpro.2020.08.252.
16. Lezhnina Y.A., Maltseva N.S. Analysis of Transport Supply and Demand Based on Convolutional Neural Networks. Journal of Physics: Conference Series. 2021;2091:1-6. https://doi.org/10.1088/1742-6596/2091/1/012060.
17. Thomas H., Carmona Aparicio L.G., Creutzig F., Hara T., Hayashi A., Ludovique C. et all. Models and
18. Methods for Transport Demand and Decarbonisation: A Review. Environmental Research Letters.
19. ;19(9):1-22. https://doi.org/10.1088/1748-9326/ad6b3a.
20. Belogreben A.A., Donchenko V.V., Sedin O.N. Methodology for Assessing the Socio-Economic Effect of Implementing Project Solutions in the Field of Traffic Management. Nauchnyi vestnik avtomobilnogo transporta. 2020;1:20-34. (In Russ.). EDN: BFSMZM.
21. Kopylov M.A. Assessment of Losses from Traffic Jams and Possible Measures to Reduce Costs. Young Researcher of the Don. 2022;1:28-36. (In Russ.). EDN: CNTZGI.
22. Sokolov Yu.I., Lavrov I.M. Economic Assessment of the Relationship between the Quality Level of Transport Services and the Demand for Freight Transportation. Transport of the Russian Federation. 2022;6:15-18. (In Russ.). EDN: XSDRAW.
23. Polyakov A.S. Technologies of Collection and Analysis of Big Data for the Purpose of Monitoring Transport Demand of the Population. Naukosfera. 2022;1-1:227-232. (In Russ.). EDN: NESQIH.
24. Profillidis V.A., Botzoris G.N. Modeling of Transport Demand: Analyzing, Calculating, and Forecasting Transport Demand. Amsterdam: Elsevier, 2018. 500 p. https://doi.org/10.1016/C2016-0-00793-3 .
25. Deenapanray P.N.K., Khadun N.A. Land Transport Greenhouse Gas Mitigation Scenarios for Mauritius Based on Modelling Transport Demand. Transportation Research Interdisciplinary Perspectives. 2021;9:1-10. https://doi.org/10.1016/j.trip.2021.100299.
26. Jingti Han, Zhouping Li Modeling the Transport Network Flow Distribution Based on Transport Demand. IEEE International Conference on Information Science and Technology. 2012:92-95. https://doi.org/10.1109/ICIST.2012.6221614.
27. Atanasova V., Stojanoska M. The Meaning and Methods of Transport Demand Forecast. Znanstvena Misel. 2023;84:28-32. https://doi.org/10.5281/zenodo.10224295.
Review
For citations:
Zedgenizov A.V., Zedgenizova A.N., Chupin V.R. Assessment of the indirect economic effect of road traffic management during the construction of the Soyuz microdistrict in the Irkutsk city plan. Izvestiya vuzov. Investitsii. Stroitelstvo. Nedvizhimost. 2025;15(4):612-620. (In Russ.) https://doi.org/10.21285/2227-2917-2025-4-612-620. EDN: BJEVCJ
JATS XML



















