Data underlying the study of the ride acceptance behaviour and relocation strategies of ride-sourcing drivers, CriticalMaaS WP3.2 WP3.3-PA

DOI:10.4121/3cc6edef-03a5-43ac-b469-b92d3ebfd952.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/3cc6edef-03a5-43ac-b469-b92d3ebfd952
Datacite citation style:
Ashkrof, Peyman; Homem de Almeida Correia, Gonçalo; Oded Cats; van Arem, Bart (2023): Data underlying the study of the ride acceptance behaviour and relocation strategies of ride-sourcing drivers, CriticalMaaS WP3.2 WP3.3-PA. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3cc6edef-03a5-43ac-b469-b92d3ebfd952.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset is part of the CriticalMaaS project within the Department of Transport and Planning, Faculty of Civil Engineering. The data was collected through a stated preference survey designed to study the ride acceptance behaviour and relocation strategies of ride-sourcing drivers. The target group was Uber and Lyft drivers operating in the US. 

History

  • 2023-04-03 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Associated peer-reviewed publication

Ride acceptance behaviour of ride-sourcing drivers

Funding

  • CriticalMaaS (grant code 804469) European Research Council
  • European Research Council, 319209

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Smart Public Transport Lab

DATA

Files (2)