Machine Learning and Sustainable Mobility: The Case of the University of Foggia (Italy)

Machine Learning and Sustainable Mobility: The Case of the University of Foggia (Italy)

Thanks to the development of increasingly sophisticated machine-learning techniques, it is possible to improve predictions of a particular phenomenon. In this paper, after analyzing data relating to the mobility habits of University of Foggia (UniFG) community members, we apply logistic regression a...

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Bibliographic Details
Main Authors: Giulio Mario Cappelletti, Luca Grilli, Carlo Russo, Domenico Santoro
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
university
sustainability
transport policy
mobility choices
machine learning
emissions
Online Access:https://www.mdpi.com/2076-3417/12/17/8774

Internet

https://www.mdpi.com/2076-3417/12/17/8774

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