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An exploratory analysis of pedestrian accidents patterns in Lisbon
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Resumo(s)
Mobility is one of the pillars of Smart Cities, being one of the most important issues for the
development and growth of a city. Nowadays, with the massive flow of populations to large urban
centers, mobility and its dangers require special attention. The number of pedestrian accidents has
been increasing over the past few years, and it is important to understand what causes and factors
contribute to them.
The main objective of this work is to identify and classify the pedestrian accidents in the city of
Lisbon and segment the accident patterns based on the application of clustering methods. The data
used in this work was provided by Lisboa Aberta.
The work begins with a literature review about the causes of pedestrian accidents previously
identified and the reference of clustering methods used in similar studies.
Then, a deep dive will be made of the data provided by Lisboa Aberta, selecting the most relevant
variables used for the Cluster analysis. The Cluster analysis will be done using the K-Means and KMedoids
methods.
At the end of the work, the results of both methods will be compared, where the winning method
will be chosen and the conclusions of which are the determining patterns in pedestrian accidents in
the city of Lisbon will be presented.
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
Pedestrian Accidents Lisbon K-Means K-Medoids Cluster