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Assessing the Urban Dynamics of the Viseu Dão Lafões region through a BI solution

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Resumo(s)

In a time when urban mobility challenges are increasing in complexity, an efficient use of data can play a central role in providing cities, policymakers, and citizens with the knowledge and tools for a more competent urban management strategy. The movement of people, done through various means, including public or private offerings, generates a significant amount of data that can be transformed into insights. These can be presented in the form of trends and patterns of movements or even in the identification of problematic areas in terms of accidents or lack of public transportation options. Within this scope, this master thesis project aims to create a business intelligence solution for the Viseu Dão Lafões region, where the stakeholders of the area can support their decision-making activities on the information presented in the several dashboards. These dashboards provide knowledge on the mobility sector of the region, namely of the Taxi services supplied by the municipalities to the citizens, the road traffic streams, the public transportation ticket sales, and lastly, the area visitors’ movements and dynamics. The project is supported by the Microsoft tool Power BI, where all data processing steps, such as the extraction, transformation, and loading were performed. Essentially, with the help of data visualization, this project offers a framework for a better understanding of the mobility data of the Viseu Dão Lafões region and enables its stakeholders to act and decide on it.

Descrição

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence

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Smart Mobility Viseu Dão Lafões Dashboard Data Visualization SDG 9 - Industry, innovation and infrastructure SDG 11 - Sustainable cities and communities

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