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Application of Process Mining for Mobility and Transportation Analysis [poster]
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| 2.05 MB | Adobe PDF |
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Resumo(s)
The rapid urbanisation process has highlighted private transport modes, particularly cars, as one of the primary contributors to urban challenges The widespread availability of sensor data from smartphones, has made mobility analysis possible. Routine mobility between home and work has been widely studied. Research Objective This research aims to extend urban mobility analysis by applying process mining techniques, commonly used in business context, to analyse travel behavior in urban spaces Why Process Mining? Process mining can uncover hidden patterns in large datasets and provide a deeper understanding of mobiliy processes. What's New? Process mining (PM) has not yet made significant inroads in urban mobility analysis.
Descrição
Filonchik, K. (2024). Application of Process Mining for Mobility and Transportation Analysis. 1. Poster session presented at Data Research Meetup by MagIC, Lisbon, Portugal. --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS).
Palavras-chave
SDG 11 - Sustainable Cities and Communities