An NTUA Diploma Thesis titled “Investigation of the effect of pandemic restriction measures in European mobility using clustering and machine learning classification” was recently presented by Dimitra Pigadioti. This Diploma Thesis revealed that the population’s behavior towards the pandemic and the consequent deaths, are better reflected and predicted by the characteristics of the population movements and not by the number of COVID-19 cases. Furthermore, the population’s mobility trends during the pandemic can be predicted satisfactorily for most European countries, considering the data of new COVID-19 cases per million population, the implemented vaccination policies and the movement trends to the grocery, pharmacy and parks.
Investigation of the effect of pandemic restriction measures in European mobility using clustering and machine learning classification, July 2021
Related Posts
-
Understanding the effects of underreporting on injury severity estimation of single-vehicle motorcycle crashes: A hybrid approach incorporating majority class oversampling and random parameters with heterogeneity-in-means, March 2025
January 31st, 2025 | Comments Off on Understanding the effects of underreporting on injury severity estimation of single-vehicle motorcycle crashes: A hybrid approach incorporating majority class oversampling and random parameters with heterogeneity-in-means, March 2025 -
European Commission – Adoption of new Directive to strengthen cross-border enforcement of road traffic rules, January 2025
January 31st, 2025 | Comments Off on European Commission – Adoption of new Directive to strengthen cross-border enforcement of road traffic rules, January 2025 -
IRTAD – Road Safety Annual Report, 2024
January 30th, 2025 | Comments Off on IRTAD – Road Safety Annual Report, 2024