Banca de DEFESA: MARCOS ALVES OLIVEIRA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : MARCOS ALVES OLIVEIRA
DATA : 17/06/2026
HORA: 14:00
LOCAL: Sala online de vídeochamada GoogleMeet (https://meet.google.com/dgy-geuc-jwm)
TÍTULO:

Real Estate Valuation Index for Sinop: Strategy and Tool for Market Analysis.

PALAVRAS-CHAVES:

hedonic pricing model; real estate market; software

PÁGINAS: 202
GRANDE ÁREA: Ciências Sociais Aplicadas
ÁREA: Economia
SUBÁREA: Economia Regional e Urbana
ESPECIALIDADE: Economia Urbana
RESUMO:

Price measurement in the real estate market represents a recurring challenge in urban and economic analyses, given the diversity of attributes that influence property values. The municipality of Sinop, despite its rapid growth, faces urban challenges such as dispersed occupation and uneven land appreciation, which makes it relevant to develop a tool capable of revealing valuation patterns. To address this complexity, hedonic pricing models have become consolidated as a tool capable of decomposing property values according to their characteristics. This study aimed to develop software that integrates a real estate valuation index based on a hedonic model, applied to the city of Sinop, Mato Grosso. The system was designed to automate the collection of property data advertised on digital platforms, qualify the collected information, estimate prices, and generate comparative indicators to support decision-making. The methodology comprised six stages: bibliographic review and prospective study; construction of the SWOT Matrix and Business Model Canvas; structuring of the hedonic model; analysis of factors associated with prices; software development; and registration of the computer program with the National Institute of Industrial Property (INPI). As a result, software was developed to perform automated collection of real estate data, organize records, support information qualification, integrate the hedonic model, and generate the Real Estate Valuation Index (IVI). The estimated model indicated greater consistency for the variables property size, number of bathrooms, property type, and location aggregated by urban zone. The IVI converted estimated prices into a comparative measure, while the temporal IVI made it possible to monitor monthly fluctuations during the analyzed period. The SWOT Matrix, the business model, and the registration of the computer program with INPI were also completed. It is concluded that the research contributed to the analysis of the real estate market in Sinop by integrating automated data collection, statistical modeling, and software into a solution applied to the generation of real estate indicators.

MEMBROS DA BANCA:
Presidente - 236987002 - LINDOMAR PEGORINI DANIEL
Interno - 114018002 - CLEITON FRANCO
Externo ao Programa - 90384008 - FERNANDO SELLERI SILVA
Externo ao Programa - 016.546.442-93 - MARCELO MORO MEYER - UFMT
Externo ao Programa - 249454002 - UDILMAR CARLOS ZABOT