Publicação
Analysis of the Real Estate Evolution over the past decade in Lisbon: A Business Intelligence approach to Smart Cities
| dc.contributor.advisor | Neto, Miguel de Castro Simões Ferreira | |
| dc.contributor.advisor | Neves, Maria de Fátima dos Santos Trindade | |
| dc.contributor.author | Gonçalves, Paulo Tomás Simões | |
| dc.date.accessioned | 2023-03-20T15:03:49Z | |
| dc.date.available | 2023-03-20T15:03:49Z | |
| dc.date.issued | 2023-01-27 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence | pt_PT |
| dc.description.abstract | The Real Estate paradigm in Lisbon has changed quite rapidly over the past ten years, with a drastic rise in tourism activity, with an increase in local settlement investment and gentrification, leading to all-time high house prices. Despite the importance of this phenomenon, there is a lack of systematic and structured research and, consequently, it is relevant to have a detailed study and thorough analysis of it, to understand what led to the fluctuations in prices as well as the differences between the pricing and types of houses between the civil parishes. To address this gap, a Design Science Research methodology was applied, with the creation of a Power BI dashboard artifact, using a Real Estate dataset (Confidencial Imobiliário) with variables such as Price per square meter, house size, and absorption time, among others. These dataset variables were intertwined with 26 study population representative variables, extracted from Census 2021, as well as 95 smart city indicators, to allow for a complete characterization of the different parishes of the Lisbon municipality, which is the study area. The results of this thorough analysis were that the smart city indicators had the biggest impact on the price of houses, amongst the civil parishes, highlighting the Culture and Commerce attributes as the ones with the highest positive correlation to the dependant variable. This study contributed to the literature of the Real Estate market study, enabling a better understanding of the characterization of each civil parish in the Lisbon municipality, allowing for the use of this study to aid in policy making and decision support on urban planning. | pt_PT |
| dc.identifier.tid | 203249313 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/150897 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Real Estate | pt_PT |
| dc.subject | House market price | pt_PT |
| dc.subject | Lisbon | pt_PT |
| dc.subject | Smart Cities | pt_PT |
| dc.subject | Business Intelligence | pt_PT |
| dc.subject | Decision-making | pt_PT |
| dc.title | Analysis of the Real Estate Evolution over the past decade in Lisbon: A Business Intelligence approach to Smart Cities | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio (Business Intelligence) | pt_PT |