A carregar...
Publicação
Data-driven insights in Real Estate: data, policy, and shocks in Portugal’s urban landscape
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 7.4 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This thesis explores the dynamics of Portugal’s real estate sector through a data-driven lens, focusing on data enhancement, the influence of short-term rentals, and the impact of external shocks like the COVID-19 pandemic. It proposes ways of enhancing real estate data policy development, quantifying short-term rentals’ effect on housing stock, and employing machine learning techniques to evaluate the pandemic’s toll on Airbnb. Together, these studies highlight the role of data and advanced analytics in unraveling the complexities of contemporary real estate environments, thereby enabling the formulation of more effective policies and providing insights for stakeholders.
Descrição
Palavras-chave
Real Estate Data Short-term rentals Economic shocks Machine learning Policymaking