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

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Airbnb,urban renewal,urban centrality,KDE,NKDE,street network