Polygonal Metric Grid Method for Estimating the Cadastral Value of Land Plots
https://doi.org/10.55959/MSU0579-9414.5.78.3.8
Abstract
High computer-intensity and complexity of the mechanisms for recalculating the coefficients of pricing factors affect the process of calculating the cadastral value. To solve these problems, the study substantiates the use of polygonal metric grid method to determine the values of pricing factors of the cadastral value of land plots using St. Petersburg as an example. In local modeling, the algorithm implementing the polygonal metric grid method showed a decrease in the number of operations by 49,999 % compared to the approach applied for 2018 state cadastral valuation in St. Petersburg. Calculations showed that the storage of a polygonal metric grid requires 16 GB less than that of all auxiliary information (attributes and spatial reflection of the zone of influence of each factor) required for modeling. Thus, the technological effect of the introduction of a polygonal metric grid method into the process of cadastral valuation of real estate makes it possible to make efficient use of computing power, as well as to reduce the time for recalculating the values of pricing factors if some new
objects of valuation emerge.
About the Authors
I. I. Raguzin
St. Petersburg Mining University
Russian Federation
Russian Federation
Postgraduate student
Department of Land Management and Cadastres
Civil Engineering Faculty
St. Petersburg
E. N. Bykova
St. Petersburg Mining University
Russian Federation
Russian Federation
Associate Professor, D. Sc. in Economics
Department of Land Management and Cadastres
Civil Engineering Faculty
St. Petersburg
O. Yu. Lepikhina
St. Petersburg Mining University
Russian Federation
Russian Federation
Associate Professor, Ph. D. in Engineering sciences
Department of Land Management and Cadastres
Civil Engineering Faculty
St. Petersburg
References
1. Abidoye R. B., Chan A. P. Artificial neural network in pro perty valuation: application framework and research trend, Property Management, 2017, vol. 35(5), p. 554–571.
2. Antipov E. A., Pokryshevskaya E. B. Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics, Expert Systems with Applications, 2012, vol. 9, no. 2, p. 1772–1778.
3. Baltyzhakova T., Romanchikov A. Spatial analysis of subway passenger traffic in Saint Petersburg, Geodesy and Cartography (Vilnius), 2021, vol. 47 (1), p. 10–20.
4. Demetriou D. A spatially based artificial neural network mass valuation model for land consolidation, Environment and Planning B, Urban Analytics and City Science, 2017, no. 5 (44), p. 864–883.
5. Fontoura Júnior C. M., Uberti M. S., Tachibana V. M. Mass appraisal of apartment through geographically weighted regression, Boletim de Ciencias Geodesicas, 2020, vol. 26 (2), p. 1–16.
6. Gnat S. Impact of categorical variables encoding on property mass valuation, Procedia Computer Science, 2021, vol. 192, p. 3542–3550.
7. Gribovskii S. V., Barinov N. P., Anisimova I. N. O povyshenii dostovernosti otsenki rynochnoi stoimosti metodom sravnitel’nogo analiza [On Improving the Reliability of Estimating Market Value by the Method of Comparative Analysis], Voprosy otsenki, 2002, no.1, p. 2–10. (In Russian)
8. Kiselev V. A., Semeoshenkova E. V. Ispol’zovanie GIS-tekhnologii dlya zonirovaniya territorii Frunzenskogo raiona Sankt-Peterburga [Application of GIS technologies for zoning the territory of the Frunzensky district of St. Petersburg], Zapiski Gornogo instituta, 2004, vol. 156, p. 255–258. (In Russian)
9. Kovyazin V. F., Kitsenko A. A., Shobairi O. R. Cadastral valua tion of forest lands, taking into account the degree of development of their infrastructure, Journal of Mining Institute, 2021, vol. 249 (5), p. 449–462.
10. Kresnikova N. I. Formirovanie sistemy zemel’nykh otnoshenii v agrarnom sektore ekonomiki: teoriya, metodologiya i praktika [Formation of the system of land relations in the agricultural sector of economy: theory, methodology and practice], Extended Abstract of Grand Ph. D. Thesis in Economics, Moscow, 2009, 58 p. (In Russian)
11. Latruffe L., Piet L. Does land fragmentation affect farm performance? A case study from Brittany, France, Agricultural Systems, 2014, vol. 129, p. 68–80.
12. Lelyukhina A. M. Razrabotka i issledovanie metodov sozdaniya tematicheskikh kadastrovykh kart [Elaboration and analysis of methods for creating thematic cadastral maps], Extended Abstract of Ph. D. Thesis in Engineering sciences, Moscow, 2008, 24 p. (In Russian)
13. Makarov O. A., Tsvetnov E. V., Shcheglov A. I., Romashkina A. D., Ermiyaev Y. R. Cadastral valuation of lands polluted with radionuclides, Eurasian Soil Science, 2016, vol. 11 (49), p. 1288–1293.
14. Nosov S. I., Bondarev B. E. Kadastrovaya otsenka zemel’nykh uchastkov: metodologiya raschetov i ekspertiza rezul’tatov [Cadastral valuation of land plots: calculation methodology and examination of results], Imushchestvennye otnosheniya v Rossiiskoi Federatsii, 2013, no. 7 (142), p. 6–17. (In Russian)
15. Novikova T., Khaustov V., Guseinov T. Cadastral valuation based upon the environmental factors using the city of Kursk as an example, Journal of Applied Engineering Science, 2018, vol. 1 (16), p. 104–106.
16. Pirogova O., Gorin E., Plotnikov V. The algorithms for the environmental finance based on adjusted present value models, E3S, 2019, (91), 111 – p.
17. Prikaz Rosreestra ot 04. 08. 2021 no. П/0336 “Ob utverzhdenii Metodicheskikh ukazanii o gosudarstvennoi kadastrovoi otsenke” [“On approval of the Guidelines on the state cadastral valuation”], Moscow, 2021. (In Russian)
18. Ruggiero M., Forestiero G., Manganelli B., Salvo F. Buildings energy performance in a market comparison approach, Buildings, 2017, no. 7 (1), 14 p., DOI: 10.3390/buildings7010016.
19. Rybkina A. M., Demidova P. M., Kiselev V. A. Working-out of the geostatistical model of mass cadastral valuation of Urban lands evidence from the city Vsevolozhsk (Russia), International Journal of Applied Engineering Research, 2016, vol. 11 (24), p. 11631–11638.
20. Sagaidak A. E., Sagaidak A. A. Zemel’naya renta i sovershenstvovanie nalogooblozheniya zemli v sel’skom khozyaistve [Land rent and improvement of land taxation in agriculture], Innovatsii i investitsii, 2020, no. 7, p. 114–117. (In Russian)
21. Volkova Ya. Metod territorial’no-vremennoi ekstrapolyatsii rynochnykh dannykh dlya kadastrovoi otsenki v usloviyakh malorazvitogo rynka zemel’: na primere zemel’ individual’noi zhiloi zastroiki [Method of territorialtemporal extrapolation of market data for cadastral valuation under poorly developed land market: case study of lands of individual residential development], Extended Abstract of Ph. D. Thesis in Engineering sciences, Saint-Petersburg, 2018, 20 p. (In Russian)
22. Otchet ob itogah gosudarstvennoj kadastrovoj otsenki zemelnyh uchastkov (kategoriya zemel “zemli naselennyh punktov”) raspolozhennyh na territorii gorods Moskvy (po sostoyaniyu na 01. 01. 2018 g.) [Report on the results of the state cadastral evaluation of land plots (land category “lands of Settlements”) within the territory of the city of Moscow (as on 01. 01. 2018)], no. 1/2018, URL: https://rosreestr.gov.ru/wps/portal/cc_ib_svedFDGKO?archive_id=23121 (date of access 24. 11. 2021). (In Russian)
23. Otchet ob opredelenii kadastrovoj stoimosti ob’ektov nedvizhimosti na territorii Sankt-Peterburga, t. 2, Opredelenie kadastrovoj stoimosti zemelnyh uchastkov (po sostoyaniyu na 01. 01. 2018 g.) [Report on the cadastral valuation of real estate objects within the territory of St. Petersburg, vol. 2, Cadastral valuation of land plots (as on 01. 01. 2018)], no. 1/2018, URL: https://rosreestr.ru/wps/portal/cc_ib_svedFDGKO?archive_id=23341 (date of access 24. 11. 2021). (In Russian)
24. Vasiliev V. C. Analiz slozhnosti algoritmov. Primery [Analysis of algorithms’ complexity. Examples], URL: https://pro-prof-com.turbopages.org/pro-prof.com/s/archives/1660 (date of access 25. 01 .2022). (In Russian)
Review
For citations:
Raguzin I.I., Bykova E.N., Lepikhina O.Yu. Polygonal Metric Grid Method for Estimating the Cadastral Value of Land Plots. Lomonosov Geography Journal. 2023;(3):92-103. (In Russ.) https://doi.org/10.55959/MSU0579-9414.5.78.3.8
Views:
254
Email this article 
