[HTML][HTML] Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns
M Battifarano, S Qian - Transportation Research Part C: Emerging …, 2023 - Elsevier
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 …
for policymakers to quickly understand how people are changing their behavior and their …
Shifting mobility behaviors in unprecedented times: Intentions to use on-demand ride services during the COVID-19 pandemic
The spread of COVID-19 has been a major disruptive force in people's everyday lives and
mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing …
mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing …
Shifting mobility behaviors in unprecedented times: A multigroup MIMIC model investigating intentions to use on-demand ride services during the COVID-19 pandemic
The spread of COVID-19 has been a major disruptive force in people's everyday lives and
mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing …
mobility behavior. The demand for on-demand ride services, such as taxis and ridehailing …
Eliciting preferences of ridehailing users and drivers: evidence from the United States
Transportation Network Companies (TNCs) are changing the transportation ecosystem, but
micro-decisions of drivers and users need to be better understood to assess the system …
micro-decisions of drivers and users need to be better understood to assess the system …
Investigating Anticipated Changes in Post-Pandemic Travel Behavior: Latent Segmentation-Based Logit Modeling Approach Using Data From COVID-19 Era
The unprecedented situation created by the COVID-19 pandemic in the year 2020 has
drastically changed daily mobility patterns around the world. Various measures were …
drastically changed daily mobility patterns around the world. Various measures were …
Do built environment factors have different effects on ridesourcing usage before and after the COVID-19 pandemic?
Ridesourcing has undergone a magnificent development pre pandemic and has had a
transformative impact on travel behavior and urban mobility. While an individual's travel …
transformative impact on travel behavior and urban mobility. While an individual's travel …
Understanding causal effects of ride-sourcing subsidy: A novel generative adversarial networks approach
Ride-sourcing platforms offer subsidies for drivers to ensure stable supply capacity for on-
demand ride services. These subsidies guarantee minimum surges in advance to help …
demand ride services. These subsidies guarantee minimum surges in advance to help …
Changes in when and where people are spending time in response to covid-19
The COVID-19 pandemic has resulted in a significant change in driving behavior as people
respond to the new environment. However, existing methods for analyzing driver behavior …
respond to the new environment. However, existing methods for analyzing driver behavior …
The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China
The COVID-19 pandemic has brought unprecedented disruptions to many industries, and
the transportation industry is among the most disrupted ones. We seek to address, in the …
the transportation industry is among the most disrupted ones. We seek to address, in the …
Exploring the impact of COVID-19 on individual's travel mode choice in China
S Luan, Q Yang, Z Jiang, W Wang - Transport Policy, 2021 - Elsevier
Travel activities and travel behaviors have been greatly affected by the outbreak of Covid-
19. Facing the change of individuals' travel choices, policymakers have to make an …
19. Facing the change of individuals' travel choices, policymakers have to make an …