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Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic
The COVID-19 pandemic is a public health crisis that also fuels the pervasive social inequity in the United States. Existing studies have extensively analyzed the inequity issues on mobility across different demographic groups during the lockdown phase. However, it is unclear whether the mobility in...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hong Kong Society for Transportation Studies. Published by Elsevier Ltd.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10291880/ https://www.ncbi.nlm.nih.gov/pubmed/37389404 http://dx.doi.org/10.1016/j.tbs.2023.100621 |