Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10451/58577
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Campo DC | Valor | Idioma |
---|---|---|
degois.publication.location | Sitges, Barcelona, Spain | pt_PT |
degois.publication.title | Urban Transitions 2022 - Integrating urban and transport planning, environment and health for healthier urban living | pt_PT |
dc.contributor.author | Betco, Iuria | - |
dc.contributor.author | Encalada Abarca, Luis | - |
dc.contributor.author | Ribeiro, Ana I. | - |
dc.contributor.author | Vale, David S. | - |
dc.contributor.author | Rocha, Jorge | - |
dc.date.accessioned | 2023-07-12T10:27:48Z | - |
dc.date.available | 2023-07-12T10:27:48Z | - |
dc.date.issued | 2022-11-09 | - |
dc.identifier.citation | Betco, I., Vale, D., Ribeiro, A.I. & Rocha, J. (2022). Using Twitter to assess the influence of urban environment on well-being in Lisbon population. Urban Transitions 2022 - Integrating urban and transport planning, environment and health for healthier urban living, 8-10 November, Sitges, Barcelona, Spain. | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10451/58577 | - |
dc.description.abstract | The shape and morphology of the city can be determinants of well-being, and it is essential to determine which factors can contribute to achieving this objective, in order to design the city in this sense. The transformation of urban space, simultaneously with the digitization of society, enables knowledge about how much individual well-being is influenced by the surrounding built environment. The content generated by internet users on social networks provides information about users and their environment, allowing access to their preferences. opinions and interactions. This study aimed to identify which features of the urban environment of the city of Lisbon affected well-being in 2019 through the use of georeferenced Twitter comments. | pt_PT |
dc.language.iso | eng | pt_PT |
dc.rights | openAccess | pt_PT |
dc.subject | Well-being | pt_PT |
dc.subject | Social networks | pt_PT |
dc.subject | Machine learning | pt_PT |
dc.subject | Agnostic models | pt_PT |
dc.subject | Sentiment analysis | pt_PT |
dc.subject | Urban environment | pt_PT |
dc.title | Using Twitter to assess the influence of urban environment on well-being in Lisbon population | pt_PT |
dc.type | conferenceObject | pt_PT |
dc.description.version | N/A | pt_PT |
dc.peerreviewed | yes | pt_PT |
Aparece nas colecções: | IGOT - Comunicações |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Urban_transitions_poster_2.pdf | 1,7 MB | Adobe PDF | Ver/Abrir |
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