Cargando…
Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns
In the aftermath of a disruptive event like the onset of the COVID-19 pandemic, it is important for policymakers to quickly understand how people are changing their behavior and their goals in response to the event. Choice modeling is often applied to infer the relationship between preference and be...
Autores principales: | Battifarano, Matthew, Qian, Sean |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090327/ https://www.ncbi.nlm.nih.gov/pubmed/37069936 http://dx.doi.org/10.1016/j.trc.2023.104118 |
Ejemplares similares
-
The effects of e-ridehailing on motorcycle ownership in an emerging-country megacity
por: Wadud, Zia
Publicado: (2020) -
Ridehailing and alcohol-involved traffic fatalities in the United States: The average and heterogeneous association of uber
por: Brazil, Noli, et al.
Publicado: (2020) -
Information Theory for Non-Stationary Processes with Stationary Increments
por: Granero-Belinchón, Carlos, et al.
Publicado: (2019) -
Spatial equity implications and neighborhood indicators of ridehailing trip frequency and vehicle miles traveled in the phoenix metro region
por: Gehrke, Steven R., et al.
Publicado: (2022) -
Network inference from non-stationary spike trains
por: Tyrcha, Joanna, et al.
Publicado: (2011)