GITMob meeting no. 14

This session took place on 14 October 2019 at room L202A of Faculdade de Engenharia da Universidade do Porto (FEUP). The topic of the session was Urban Mobility Intelligence from Big Data,  presented by Joel Ribeiro, a researcher with the Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC TEC).

Abstract

Big data consists of a massive amount of complex data – which is constantly growing – that could not be handled by traditional information technology systems in reasonable times. This inability is due to data size (Volume), heterogeneity (Variety), speed of change (Velocity), and uncertainty (Veracity), the so-called four Vs that describe the characteristics of big data. The growth of digital networking over the last decades enabled not only the integration of people, businesses and systems but also the access to all kinds of information. Regarding urban mobility, big data can provide useful insights on urban dynamics and related aspects such as demography, environment, and land use. This knowledge may support strategic and operational applications, from planning and design to evaluation and management.

Short Bio

Joel Ribeiro is a researcher at INESC TEC. Joel got his doctorate degree in Process Mining from the Eindhoven University of Technology with the dissertation “Multidimensional Process Discovery” (2013). He has worked as a researcher in many academic and industry projects across Europe with different business perspectives. Currently, he is working in the opti-MOVES project, which aims at the quality management of intermodal public transport services: diagnosis and optimization. His research interests include process and data science, business intelligence, business process management, logistics, and transportation systems.