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...

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Detalles Bibliográficos
Autores principales: Li, Zihao, Wei, Zihang, Zhang, Yunlong, Kong, Xiaoqiang, Ma, Chaolun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hong Kong Society for Transportation Studies. Published by Elsevier Ltd. 2023
Materias:
Article
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

Internet

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

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