Banca de QUALIFICAÇÃO: MARCOS ALVES OLIVEIRA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : MARCOS ALVES OLIVEIRA
DATA : 26/08/2025
HORA: 14:00
LOCAL: Sala de reuniões online do Google Meet (https://meet.google.com/ecv-qtkx-tmw)
TÍTULO:

SINOP REAL ESTATE PRICE INDEX: STRATEGY AND TOOL FOR MARKET ANALYSIS

PALAVRAS-CHAVES:

hedonic pricing model; real estate market; software

PÁGINAS: 118
GRANDE ÁREA: Ciências Sociais Aplicadas
ÁREA: Economia
SUBÁREA: Economia Regional e Urbana
ESPECIALIDADE: Economia Urbana
RESUMO:

Measuring prices 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 land use and uneven land appreciation, making it important to develop a tool capable of revealing valuation patterns. To address this complexity, hedonic pricing models have established themselves as a tool capable of decomposing property values according to their characteristics. This work proposes the development of software that integrates a real estate valuation index based on a hedonic model, to be applied in the city of Sinop, Mato Grosso. The system was designed to automate the collection of data on properties offered on digital platforms, providing a continuous database of information for price analysis. The methodology comprises six steps: literature review and technological antecedent study; construction of the SWOT matrix and Business Model Canvas; structuring the hedonic model; analysis of factors that influence prices; software development; and registration of the program with the National Institute of Industrial Property (INPI). Preliminary results indicate progress: the software already scrapes real estate data and has been approved for registration with the INPI. The SWOT matrix and business model have been completed. With these elements, the next steps include the final definition of the price index, as well as the application of the hedonic model to the data obtained. The developed tool is expected to contribute to more informed decisions in the local market, with potential for replication in other contexts. The research highlights the importance of integrating analytical methods with applied technology to create solutions that impact the real estate sector.

MEMBROS DA BANCA:
Presidente - 236987002 - LINDOMAR PEGORINI DANIEL
Externo ao Programa - 90384008 - FERNANDO SELLERI SILVA
Externo ao Programa - 016.546.442-93 - MARCELO MORO MEYER - NÃO INFORMADO
Externo ao Programa - 249454002 - UDILMAR CARLOS ZABOT