Neto, Miguel de Castro Simões FerreiraJardim, João Bruno Morais de SousaHenriques, Guilherme Lopes2024-11-072024-11-072024-10-29http://hdl.handle.net/10362/174775Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThe importance of sustainable mobility in large urban areas has become increasingly crucial for improving the well-being of city residents. This study will focus on the urban area of Lisbon exploring the impact of major events, how the air quality is affected by those events, how the traffic is affected and how the usage of bicycle sharing systems change in these days compared to the days when there are no events. Three hypotheses were specified to be examined using the difference-in-differences model. These hypotheses are as follows: H1 – Air quality in some zones is affected by being an event day; H2 – Being an event day increases the number of jams in the peripheral zones of the event; H3 – Being an event day increases the use of bike-sharing systems. After applying the statistical model and obtaining the results, it can be concluded that in relation to H1 in several zones an event does not worsen air quality. Regarding H2, we can say that holding an event increases the number of traffic jams in the vicinity and about H3, we can also say that holding an event increases the number of Bicycle-sharing systems used in the vicinity of the event. With these findings, which are important, it is hoped that they can help decision-makers to establish policies in order to reduce the number of traffic jams and increase the quality of life of the inhabitants in the vicinity of the event, as well as the experience of the people attending the events themselves.engBike-sharing systemsSustainable mobilityAir qualityMobility patternsDifference-indifferencesSDG 7 - Affordable and clean energySDG 11 - Sustainable cities and communitiesSDG 13 - Climate actionmaster thesis203777077