REAL ESTATE VALUATION METHODS IN CADASTRE: APPROACHES, CHALLENGES, AND RECOMMENDATIONS

• Gʻafurova Dildora

  Gulistan state university 29-24 group 2nd year student dildoragafurova21@gmail.com

  Author

Accurate and transparent valuation of real estate is the cornerstone of an effective cadastral system, influencing taxation, mortgage lending, public asset management, and real estate market regulation. Traditional property appraisal methods face challenges in scalability, transparency, and adaptability to dynamic market conditions. This article examines the primary valuation approaches used within real estate cadastres — including the cost approach, sales comparison approach, income capitalization, hedonic regression, and emerging automated valuation models (AVMs) — evaluating their strengths, limitations, and applicability to a Central Asian context, with special reference to ongoing reforms in Uzbekistan. Drawing on both international literature and recent Uzbek research, the study analyses methodological, data-centric, legal, and institutional obstacles that impede accurate cadastral valuation. The article proposes a hybrid, multi-method framework integrating geospatial data, econometric modeling, and machine learning to improve assessment precision, transparency, and repeatability. Key recommendations include establishing standardized data collection protocols, creating centralized transaction databases, applying hedonic or AVM-based mass appraisal for urban areas, and periodic revaluation to reflect market dynamics. Successful implementation could significantly enhance fiscal fairness, market confidence, and efficient land use planning.

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