Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile()

Most crowding measures in public transportation are usually aggregated at a service level. This type of aggregation does not help to analyze microscopic behavior such as exposure risk to viruses. To bridge such a gap, our paper proposes four novel crowding measures that might be well suited to proxy...

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Detalles Bibliográficos
Autores principales: Basso, Franco, Frez, Jonathan, Hernández, Hugo, Leiva, Víctor, Pezoa, Raúl, Varas, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249364/
https://www.ncbi.nlm.nih.gov/pubmed/37313370
http://dx.doi.org/10.1016/j.scs.2023.104712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249364/
https://www.ncbi.nlm.nih.gov/pubmed/37313370
http://dx.doi.org/10.1016/j.scs.2023.104712

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