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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2023
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| Materias: | |
| 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 |