Using Data Mining to Estimate Patterns of Contagion-Risk Interactions in an Intercity Public Road Transport System

Using Data Mining to Estimate Patterns of Contagion-Risk Interactions in an Intercity Public Road Transport System

The COVID-19 pandemic has had very negative effects on public transport systems. These effects have compromised the role they should play as enablers of social equity and environmentally sustainable mobility and have caused serious economic losses for public transport operators. For this reason, in...

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Bibliographic Details
Main Authors: Teresa Cristobal, Alexis Quesada-Arencibia, Gabriele S. De Blasio, Gabino Padron, Francisco Alayon, Carmelo R. Garcia
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Close contact patterns
clustering
COVID-19
data mining
epidemics
information management
Online Access:https://ieeexplore.ieee.org/document/9893108/

Internet

https://ieeexplore.ieee.org/document/9893108/

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