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Publicação
Cities Mobility Management: Mobility prediction model applied to Lisbon marathons
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Resumo(s)
Lisbon, as Portugal capital, is a city that receives a vast number of events every year. These enormous
concentrations of people, in the same place, at the same time, requires huge transport services
planning and organization. To elevate Lisbon to a state of what is called smart city, smart mobility topic
must be improved, in a serious way. To achieve this, Lisbon must be able to stop being reactive and
start being proactive. Predicting people’s behavior, concerning to the theme “mobility” is something
that can improve drastically population’s life quality. With this study, it is intended to have a better
and specific understanding of how CARRIS public transport service is managed in Lisbon, during city’s
marathons. The main objective is to implement smarter mobility strategies, during big events, analyze
people behavior before, during and after these events and try to predict future population behavior,
based on data.
CARRIS and other related sources provided data that was integrated into a database system in an
automated way. Above this database system a machine learning prediction model was put in place
revealing that it is possible to forecast at least 75% of the attendance on this type of transports. This
project will end with Power BI self-explanatory reports that can help decision making. By having a
better understanding of all problems related to smart mobility during big events, Lisbon may predict
and act accordingly. By improving smart mobility, the city is improving life quality, as well.
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 mobility Smart Cities Smart event planning Citizen’s life quality Massive mobility