Market Pricing for Commercial Facilities considering Cultural Heritage Sites (a case Study of Pskov, RF)

Cadastre

UDC:

332.63

DOI:

10.22389/0016-7126-2025-1018-4-29-39

1 Bykowa E.N.

2 Dyachkova I.S.

3 Grigorev K.V.

Year:

2025

№:

1018

Pages:

29-39

Empress Catherine II Saint Petersburg Mining University

1,

2,

3,

Abstract:

This article deals with the topical issue of taking cultural heritage sites into account in the process of evaluating real estate. At the preparatory stage, market data on 157 objects were collected and analyzed, a sample of information was made on 75 commercial premises and 109 windows of federal significance in Pskov, RF. Based on the analysis of scientific papers and reports on the state cadastral assessment, the authors offer a list of price-forming factors. Due to economic and mathematical methods, a model for determining the specific index of the market value (UPR) of commercial objects was developed depending on various price-forming factors, which were tested before including in the model by calculating the coefficients of partial correlation for multicollinearity. As a result of the analysis, which consisted in constructing a model of the management of commercial buildings relative to the influence of nearby windows in the city of Pskov, the externality of the remote location factor of the estimated commercial buildings was revealed. The quality control of the constructed UPR model of commercial facilities, carried out using statistical characteristics, shows that it meets statistical criteria. The result of the study is an additive multiple regression model describing the dependence of commercial objects cost on the following price-forming factors: the total area, the type of property and the distance from the center of buildings to bus stops. The authors provide an interpretation of the obtained model and suggest directions for future research

Keywords:

correlation and regression analysis, cost factors, cost model, cultural heritage protection zones, economic and mathematical methods, historical and cultural monuments, individual assessment, modeling, non-residential premises, spatial analysis

References:

1. Belyaeva A. V. Razrabotka modeli rascheta stoimosti investitsionnoi nedvizhimosti, na primere ob"ektov, raspolozhennykh v g. Voronezh. Pod obshchei red. kand. ekonom. nauk G. Yu. Gulyaeva.Ekonomika v teorii i na praktike: aktual'nye voprosy i sovremennye aspekty: Sb. statei VII Mezhdunar. nauch.-prakt. konf. (15 dek. 2020 g., Penza), Penza: MTsNS «Nauka i Prosveshchenie», 2020, pp. 164–168.

2. Bondarev B. E. Problemy postroeniya matematicheskikh modelei pri provedenii gosudarstvennoi kadastrovoi otsenki. Otv. red. D. A. Shapovalov, S. I. Komarov.Sovremennye problemy kadastrovoi i ekonomicheskoi otsenki zemel': Cb. nauch. tr. po rezul'tatam kruglogo stola (11 sent. 2020 g., Moskva), Moskva: GUZ, 2020, pp. 8–16.

3. Bykova E. N. Otsenka negativnykh infrastrukturnykh eksternalii pri opredelenii stoimosti zemel'. Zapiski Gornogo instituta, 2021, Vol. 247, no. 1, pp. 154–170. DOI: 10.31897/PMI.2021.1.16.

4. Dron' V. A. Analiz rynka kommercheskoi nedvizhimosti v tselyakh osparivaniya ee kadastrovoi stoimosti na primere g. Tomska. Interekspo Geo-Sibir', 2022, Vol. 7, no. 1, pp. 27–34.

5. Kiseleva V. A., Lepikhina O. Yu. Analiz dostatochnosti i dostovernosti rynochnoi informatsii v malykh i srednikh gorodakh Severo-Zapadnogo okruga dlya otsenki vozmozhnosti primeneniya statisticheskogo metoda opredeleniya kadastrovoi stoimosti zemel'. Zapiski Gornogo instituta, 2011, Vol. 189, pp. 217–221.

6. Kovyazin V. F., Bogdanova E. A. Sovremennoe sostoyanie osobo okhranyaemykh prirodnykh territorii Arktiki Rossiiskoi Federatsii. Ekologiya i promyshlennost' Rossii, 2025, no. 29 (4), pp. 59–65.

7. Kovyazin V. F., Kitsenko A. A., Shobairi S. O. R. Kadastrovaya otsenka lesnykh zemel' s uchetom stepeni razvitosti ikh infrastruktury. Zapiski Gornogo in-ta, 2021, Vol. 249, pp. 449–462. DOI: 10.31897/PMI.2021.3.14.

8. Kozin P. P. Uchet statusa ob"ekta kul'turnogo naslediya v gosudarstvennoi kadastrovoi otsenke. Imushchestvennye otnosheniya v Rossiiskoi Federatsii, 2023, no. 1 (256), pp. 8–11. DOI: 10.24412/2072-4098-2023-1256-8-11.

9. Lapinskas A. A. Vliyanie gornoi renty na effektivnost' ispol'zovaniya prirodnogo potentsiala: paradoks izobiliya i ego rossiiskaya spetsifika. Zapiski Gornogo instituta, 2023, Vol. 259, no. 1, pp. 79–94. DOI: 10.31897/PMI.2023.13.

10. Litvinenko V. S., Petrov E. I., Vasilevskaya D. V., Yakovenko A. V., Naumov I. A., Ratnikov M. A. Otsenka roli gosudarstva v upravlenii mineral'nymi resursami. Zapiski Gornogo instituta, 2023, Vol. 259, no. 1, pp. 95–111. DOI: 10.31897/PMI.2022.100.

11. Matrokhina K. V., Trofimets V. Ya., Mazakov E. B., Makhovikov A. B., Khaikin M. M. Razvitie metodologii stsenarnogo analiza investitsionnykh proektov predpriyatii mineral'no-syr'evogo kompleksa. Zapiski Gornogo instituta, 2023, Vol. 259, pp. 112–124. DOI: 10.31897/PMI.2023.3.

12. Pirogova O. E., Medvednikova D. A. Prognozirovanie urovnya vakantnosti torgovykh pomeshchenii na rynke kommercheskoi nedvizhimosti Sankt-Peterburga. Mezhdunarodnyi nauchnyi zhurnal, 2021, no. 1, pp. 48–55. DOI: 10.34286/1995-4638-2021-76-1-48-55.

13. Podryadchikova E.D., Gilyova L.N., Dubrovsky A.V. Korrelyatsionno-regressionnyi analiz kadastrovoi stoimosti ob"ektov nedvizhimosti i tsenoobrazuyushchikh faktorov (na primere zemel'nykh uchastkov goroda Tyumeni, prednaznachennykh dlya individual'noi zhiloi zastroiki). Vestnik SSUGT, 2020, Vol. 25, no. 1, pp. 274–286. DOI: 10.33764/2411-1759-2020-25-1-274-289.

14. Pchelintseva A. S. O kadastrovoi stoimosti nezhilykh pomeshchenii. Sovremennye problemy i perspektivy razvitiya zemel'no-imushchestvennykh otnoshenii: Sb. statei po materialam V Vseros. nauch.-prakt. konf. (20 apr. 2023 g., Krasnodar), Krasnodar: Kubanskii gosudarstvennyi agrarnyi universitet im. I. T. Trubilina, 2023, pp. 398–403.

15. Romanchikov A.Yu., Baltyzhakova T.I., Belyaev V.V. (2024) Evaluation of public land transport accessibility in St. Petersburg, Russia, using a geospatial approach. Geodezia i Kartografia, 85(1), pp. 43-51. (In Russian). DOI: 10.22389/0016-7126-2024-1003-1-43-51.

16. Skachkova M.E., Gureva O.S. (2022) Information support of urban planning activities in Russia. Geodezia i Kartografia, 83(8), pp. 45-55. (In Russian). DOI: 10.22389/0016-7126-2022-986-8-45-55.

17. Skachkova M. E., Gur'eva O. S. Monitoring sostoyaniya zelenykh nasazhdenii Sankt-Peterburga po materialam distantsionnogo zondirovaniya. Ekologiya i promyshlennost' Rossii, 2023, Vol. 27, no. 5, pp. 51–57. DOI: 10.18412/1816-0395-2023-5-51-57.

18. Sutyagin V. Yu., Radyukova Ya. Yu., Sutyagina Yu. S. Uchet statusa ob"ekta kul'turnogo naslediya pri otsenke stoimosti nedvizhimosti. Vestnik Volgogradskogo gosudarstvennogo universiteta. Ser. 3. Ekonomika. Ekologiya, 2018, Vol. 20, no. 2, pp. 93–103.

19. Amar J. H. N., Tyvimaa T. (2022) World heritage designation and residential property values: the case of Old Rauma, Finland. Journal of Cultural Heritage Management and Sustainable Development, Volume 14, no. 4, pp. 654–671. DOI: 10.1108/JCHMSD-07-2021-0121.

20. Bade D., Castillo J. G., Fernández M. A., Aguilar J. (2020) The price premium of heritage in the housing market: Evidence from Auckland, New Zealand. Land Use Policy, Volume 99, no. 105042, DOI: 10.2139/ssrn.3307221.

21. Baltyzhakova T., Romanchikov A. (2021) Spatial analysis of subway passenger traffic in Saint Petersburg. Geodesy and Cartography, no. 47 (1), pp. 10–20. DOI: 10.3846/gac.2021.11980.

22. Chen H., Zhang Y., Zhang N., Zhou M., Ding H. (2022) Analysis on the Spatial Effect of Infrastructure Development on the Real Estate Price in the Yangtze River Delta. Sustainability, no. 14 (13), DOI: 10.3390/su14137569.

23. Choi N. S., Lee S. Y. (2022) Factors Affecting Consumer Attractions in Urban Complex Commercial Facilities at Hongik University Station. Korea Real Estate Institute, no. 32 (4), pp. 33–46. DOI: 10.35136/krer.32.4.3.

24. Džupka P., Gróf M. (2020) The influence of the new cultural infrastructure on residential property prices. Evidence from Košice ECoC 2013, Cities, Volume 110, no. 103047, DOI: 10.1016/j.cities.2020.103047.

25. Fontoura J. C. M., Uberti M. S., Tachibana V. M. (2021) Mass appraisal of apartment through geographically weighted regression. Boletim de Ciencias Geodesicas, no. 26 (2), DOI: 10.1590/s1982-21702020000200005.

26. Graaff J. (2021) Essays on the Impact of Urban (Dis-) Amenities on the German Real Estate Market. Springer Gabler, Wiesbaden, 156 p. DOI: 10.1007/978-3-658-31623-5.

27. Hsu K., Chao J. (2022) The Impact of Urban Green-infrastructure Development on the Price of Surrounding Real Estate: A Case Study of Taichung City`s Central District. IOP Conf. Ser.: Earth Environ. Sci, Volume 1006, no. 012012, DOI: 10.1088/1755-1315/1006/1/012012.

28. Kishor N. K. (2022) Comovements and spillovers in international commercial and residential real estate markets. Journal of European Real Estate Research, Volume 15, no. 3, pp. 311–331. DOI: 10.1108/JERER-07-2021-0037.

29. Limonina I. G., Ermakova N. A., Safina S. S. (2023) Economic Potential of the Cultural and Historical Heritage of the Russian Part of the Barents Euro-Arctic Region and Prospects for Its Use. Lecture Notes in Civil Engineering, no. 206, pp. 225–232. DOI: 10.1007/978-3-030-99626-0_24.

30. Ozhegov E. M., Ozhegova A. (2022) Distance in geographic and characteristics space for real estate pricing. International Journal of Housing Markets and Analysis, Volume 15, no. 5, pp. 938–952. DOI: 10.1108/IJHMA-04-2021-0041.

31. Renigier-Bilozor M., Janowski A., Walacik M. (2019) Geoscience Methods in Real Estate Market Analyses Subjectivity Decrease. Geosciences, no. 9, pp. 130–138. DOI: 10.3390/geosciences9030130.

32. Ruzha O., Voronov V., Tambovceva T. (2022) Econometric Models for the Estimation of the Commercial Value of Residential Real Estate Objects in Latvia. International Journal of Economics and Statistics, no. 10, pp. 60–67. DOI: 10.46300/9103.2022.10.10.

33. Salinger E., Shefer D., Mualam N. (2022) World heritage designation and property: the impact of preservation on the price of historic assets. International Journal of Strategic Property Management, no. 26, pp. 397–409. DOI: 10.3846/ijspm.2022.18156.

34. Shetty D. V., Rao B. P., Prakash C., Vaibhava S. (2020) Multiple regression analysis to predict the value of a residential building and to compare with the conventional method values. Journal of Physics: Conference Series, Volume 1706, no. 12118, DOI: 10.1088/1742-6596/1706/1/012118.

35. Tan S. B., Ti E. S. (2020) What is the value of built heritage conservation? Assessing spillover effects of conserving historic sites in Singapore. Land Use Policy, Volume 91, no. 104393, DOI: 10.1016/j.landusepol.2019.104393.

Citation:

Bykowa E.N.,

Dyachkova I.S.,

Grigorev K.V.,

(2025) Market Pricing for Commercial Facilities considering Cultural Heritage Sites (a case Study of Pskov, RF). Geodesy and cartography = Geodeziya i Kartografiya, 86(4), pp. 29-39. (In Russian). DOI: 10.22389/0016-7126-2025-1018-4-29-39

Empress Catherine II Saint Petersburg Mining University

1,

2,

3,

Authors:

Content

You are here