Using machine learning models to predict the willingness to carry lightweight goods by bike and kick-scooter

Using machine learning models to predict the willingness to carry lightweight goods by bike and kick-scooter

The social transformation caused by the COVID-19 pandemic can help cities become healthier and more sustainable, with more space for active modes of transportation. This research addresses people's willingness to go shopping by bike or kick-scooter and to transport lightweight goods in cities w...

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Bibliographic Details
Main Authors: Tulio Silveira-Santos, Jose Manuel Vassallo, Ewerton Torres
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:Transportation Research Interdisciplinary Perspectives
Subjects:
Urban cycling and scooting
Behavioral change
Shopping trips
Machine learning
Classifier model
COVID-19
Online Access:http://www.sciencedirect.com/science/article/pii/S2590198222000318

Internet

http://www.sciencedirect.com/science/article/pii/S2590198222000318

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