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Business Intelligence for smart cities: Patterns and impacts of illegal parking
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| 2.75 MB | Adobe PDF |
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Orientador(es)
Resumo(s)
The smart city concept became more than just a buzzword. Policy makers, researchers and
citizens understand the necessity to improve the quality of living for its citizens using
information and communication technologies (ICT). Parking has becoming an expensive
resource with illegal parking raising a red flag in almost any major urban area in the world.
In this context, the present work project consists on the identification of patterns and
prediction of illegal and abusive on street parking in the city of Lisbon, by spatial unit and time
of day.
The literature review will begin with a description of Smart Cities concepts, the phenomena
of urbanization and the emergence of the Illegal and abusive parking concepts within Smart
Cities context. Later, it will focus on predicting illegal parking so that, evaluation metrics can
be taken to be applied to the data.
With these metrics, a predictive model will be developed based on the in-depth literature
review of suitable studies as well as data regarding the complaints of illegal and abusive
parking registered in “Na Minha Rua Lx” platform and the towed cars registered by Lisbon
Municipal Police. The results will be presented on an interactive and user friendly dashboard
built using advanced data analytics features of Power BI.
Descrição
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Smart City Lisbon Parking Abusive Parking Illegal Parking Predictive Model Dashboard