Welcome to our ridehailing driver behavior project!
We estimate a generalized additive mixed model to investigate the factors that impact ridehailing drivers’ trip request acceptance choices, relying on 200 responses from a stated preference survey in Seattle, US.
If you are interested in ridehailing service research, come and have a look at our project! 🖖 👀
The paper is accepted by International Journal of Sustainable Transportation.
- Yuanjie (Tukey) Tu, PhD candidate, University of Washington, US
- Moein Khaloei, PhD candidate, University of Washington, US
- Nazmul Arefin Khan, PhD, Argonne National Lab, US
- Don MacKenzie, PhD, University of Washington
- Ridehailing drivers are less likely to accept trips with longer pick-up times; the relationship is linear for short trips when the trip is below 45 minutes, while nonlinear otherwise
- Trips over 45 minutes, surge price, and higher passenger ratings increase the probability of trip request acceptance
- Ridehailing drivers are less likely to accept shared trips than solo ones
- the effects of ridehailing drivers’ socio-demographics and employment status are statistically non-significant
- Future studies might consider including drivers from other channels (e.g., hailing rides) to provide a more representative view of ridehailing drivers.
- Future efforts should identify and consider certain factors to have a better understanding of the relationship between trip features and drivers’ behavior. For example, the City of Seattle has a higher pay rate than surrounding cities such as Tacoma and Renton, thus drivers might prefer trips within the city of Seattle.
- The COVID-19 pandemic might have affected drivers’ perceptions on shared rides.
The work was supported by the U.S. Department of Energy (DOE) Vehicle Technologies Office (VTO) under the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility Laboratory Consortium, an initiative of the Energy Efficient Mobility Systems (EEMS) Program. The submitted manuscript has been created by University of Washington and the UChicago Argonne, LLC, Operator of Argonne National Laboratory (Argonne). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government.
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