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Exportar Referência (APA)
Correia, Ricardo Mendes (2024). Sistemas de informação geográfica na avaliação de fenómenos urbanos emergentes: O papel do Airbnb no crescimento da reabilitação urbana em {Lisboa} (2015-2019).
Exportar Referência (IEEE)
R. F. José,  "Sistemas de informação geográfica na avaliação de fenómenos urbanos emergentes: O papel do Airbnb no crescimento da reabilitação urbana em {Lisboa} (2015-2019)",, 2024
Exportar BibTeX
@null{josé2024_1782909673103,
	year = "2024",
	url = "http://hdl.handle.net/10071/33162"
}
Exportar RIS
TY  - GEN
TI  - Sistemas de informação geográfica na avaliação de fenómenos urbanos emergentes: O papel do Airbnb no crescimento da reabilitação urbana em {Lisboa} (2015-2019)
AU  - Correia, Ricardo Mendes
PY  - 2024
DO  - 10.54499/SFRH/BD/146858/2019,  https://doi.org/10.54499/SFRH/BD/146858/2019
UR  - http://hdl.handle.net/10071/33162
AB  - bstract
Understanding the spatial and temporal correlations between Airbnb and urban renewal in Lisbon is 
crucial for effective urban planning.
Nevertheless, the existing research lacks a thorough examination of the spatial and temporal 
dynamics between Airbnb and urban renewal in Lisbon. While some studies have focused on Airbnb 
and urban renewal independently, there are limited joint investigations exploring their interactions 
and correlations using georeferenced datasets.
The thesis thoroughly investigates the interaction between Airbnb and urban renewal in Lisbon, 
employing a methodological framework designed to analyze economic activities across different 
urban contexts.
The research presents a methodology for modeling georeferenced data sourced from different 
outlets, including Airbnb listings, urban renewal permits, and additional urban datasets. The primary 
objective is to address the existing literature gap by elucidating the interactions and correlations 
between Airbnb activities and urban renewal processes. 
The primary aim is to explore and establish the spatial-temporal correlations between Airbnb 
listings and urban renewal in Lisbon during the period from March 2015 to March 2019. This research 
uses advanced analytical methodologies, incorporating spatial analysis and big data processing 
techniques to achieve comprehensive insights.
The results provide evidence-based information for urban planning and decision-making. 
Enhanced comprehension of the phenomenon empowers targeted interventions to mitigate the 
negative effects of Airbnb on the community. This acquired knowledge forms the basis for endorsing 
urban renewal strategies, especially in critical areas.
Keywords: Airbnb, urban renewal, urban centrality, KDE, NKDE, street network
ER  -