The Use of Geoinformation Collections of Prices and Pricing Variables in the Forensic Examination of Cadastral Valuation of Real Estate
https://doi.org/10.30764/1819-2785-2022-1-58-71
Abstract
The article offers a simple and descriptive approach to automating of solving the tasks of forensic examination of cadastral valuation of commercial real estate: office, retail, and warehouse premises. The authors address the application of geoinformation methods and assessment quality control. They provide a description of preliminary data processing methods, as well as construction of spatial rasters of real estate prices in various groups. For the first time, the arithmetic of spatial rasters for constructing the main multipliers and coefficients of the commercial real estate market has been studied.
The proposed model will enable the forensic expert institutions of the Russian Ministry of Justice to adequately respond to the challenges of the time: to increase the volume and quality of expertise production while reducing their time. Government agencies and large consumers of valuation services will be able to significantly improve the efficiency of management, reduce the risks of underestimation or overestimation of transaction prices associated with the lack of transparency of evaluation results, collusion with interested parties, and appraisers will be able to improve the quality and cost of their service.
About the Authors
S. Yu. PogorelovRussian Federation
Pogorelov Sergei Yur’evich – the Leading Developer of the Development Center of the Cloud Business Department; General Director
Moscow 115162
Moscow 109147
A. I. Usov
Russian Federation
Usov Aleksandr Ivanovich – Doctor of Law, Full Professor, Director; Professor of the Department of Forensic Examination Activities, Law Institute; Professor of the Law, Intellectual Property and Forensic Science Department, member of AAFS;
Moscow 109028
Moscow 117198
Moscow 105055
S. S. Chizhov
Russian Federation
Chizhov Sergei Sergeevich – Managing Partner of Light Studio LLC
Moscow 115162
References
1. Butyrin A.Yu., Kolmakova K.A. Application of Specialized Knowledge When Considering Cases on Challenging the Results of Determining the Cadastral Value of Real Estate Objects. Theory and Practice of Forensic Science. 2021. Vol. 16. No. 3. P. 41-50. (In Russ.). https://doi.org/10.30764/1819-2785-2021-3-41-50
2. Butyrin A.Yu., Kruglyakova V.M., Shipilova I.A. The Application of Public Data in Forensic Real Estate Valuations: Problems, Limitations, Opportunities. Theory and Practice of Forensic Science. 2019. Vol. 14. No. 1. P. 24–29. (In Russ.). https://doi.org/10.30764/1819-2785-201914-1-24-29
3. Pogorelov S.Yu., Chizhov S.S. The Application of Spatial Smoothing for Quality Control of Real Estate Valuations. Materials of the 11th International Scientific and Practical Conference “Property Value: Valuation and Management” (Moscow, November 20, 2019). Moscow: Sinergia, 2019. P. 84–89. (In Russ.).
4. Gribovskii S.V., Sivets S.A. Mathematical Methods of Valuation of Real Estate. S.V. Gribovskii, M.A. Fedotova (eds.). Moscow: Finansy i statistika, 2008. 366 p. (In Russ.).
5. Dougerti K. Introduction to Econometrics. Moscow: Infra-M, 1999. 414 p. (In Russ.).
6. Khaikin S. Neural Networks. The Full Course. 2nd ed. Moscow: Vil’yams, 2008. 1103 p. (In Russ.).
7. Mitin N.A., Neyman E.I., Smolyak A.S., Fingert A.B. Application of Cognitive Technologies for Assessment of Real Estate. Keldysh Institute PREPRINTS. 2015. No. 112. P. 1–32. (In Russ.).
8. Borusyak K.K, Munerman I.V., Chizhov S.S. Neural Network Modeling in the Problem of Mass Appraisal of Non-Residential Real Estate in Moscow. Economics of Contemporary Russia. 2009. No. 4 (47). P. 86–98. (In Russ.).
9. Maiorov A.A., Materukhin A.V. Geoinformation Approach to the Task of Developing Tools for Mass Valuation of Real Estate. Izvestia Vuzov Geodesy and Aerophoto. 2011. No. 4. P. 92–97. (In Russ.).
10. Sesli F.A. Creating Real Estate Maps by Using GIS: A Case Study of Atakum-Samsun/Turkey. Acta Montanistica Slovaca. 2015. Vol. 20. No. 4. P. 260–270.
11. Locurcio M., Morano P., Tajani F., Di Liddo F. An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context. Sustainability. 2020. Vol. 12. No. 14. 5836. https://doi.org/10.3390/su12145836
Review
For citations:
Pogorelov S.Yu., Usov A.I., Chizhov S.S. The Use of Geoinformation Collections of Prices and Pricing Variables in the Forensic Examination of Cadastral Valuation of Real Estate. Theory and Practice of Forensic Science. 2022;17(1):58-71. (In Russ.) https://doi.org/10.30764/1819-2785-2022-1-58-71