Banca de DEFESA: THAIS GOES DE SOUZA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : THAIS GOES DE SOUZA
DATE: 18/07/2022
TIME: 14:00
LOCAL: Por videoconferência
TITLE:

MAPPING OF REAL ESTATE MARKET PRICES OBTAINED FROM WEB SCRAPING OF AD PAGES: SPATIAL ANALYSIS OF PROPERTY CONCENTRATION AND TURNOVER IN THE SALVADOR CITY

KEY WORDS:

Real estate market, Internet data extraction, Land price, Real estate tax, Spatial analysis.

PAGES: 143
BIG AREA: Engenharias
AREA: Engenharia Civil
SUMMARY:

Due to the characteristics that make up the real estate activity in large cities and the way it operates, currently, the prices of real estate projects reflect and intensify the cost of urban land. The present work seeks to map the spatial concentration between real estate market prices through online classifieds for the sale of properties classified by type and spatialized by neighborhood, as well as the official values observed through the incidence of the Tax on the Transmission of Intervivos (ITIV) and Tax Urban Territorial Building (IPTU), applied to the city of Salvador-Bahia, as a case study. The method proposes the use of data available on the web recovered through the online data scraping technique (web scraping) through extensions installed in the browser from a Hypertext Markup Language (HTML) website for real estate marketing. In this approach, attention is not only found between the values of the averages of the reference periods but also the survey of the potential and limitations of big data. In this context, in particular, the descriptive statistics of the data studied were verified, mapped at the level of products and the prices of real estate, and revealed the real estate turnover by calculating the stock of the product properties in this time frame. For the spatial analysis, cluster and outlier analysis methods are used, such as the Spatial Autocorrelation Indicator (LISA), which is decomposed by the Moran Global Index, Getis Ord Gi*, and by Geographically Weighted Regression (GWR). As a result of the research were shown patterns of spatial distribution between official data and data announced by the formal market as discussed the size of inequality in the occupation of urban space given by the distribution of average prices.

BANKING MEMBERS:
Presidente - 2494145 - VIVIAN DE OLIVEIRA FERNANDES
Interno - 1859652 - JUAN PEDRO MORENO DELGADO
Interno - 2097530 - JULIO CESAR PEDRASSOLI
Externo à Instituição - MARCEL FANTIN