The doi 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

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

Dataset

• Ground Transport
• Transport

Mobility as a Service (MaaS), Public transport, Relocation strategies, Ride acceptance behaviour, Ride-sourcing drivers, Shared mobility, Transportation

2020-2021

CC BY 4.0

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by Peyman Ashkrof, Gonçalo Homem de Almeida Correia, Oded Cats, Bart van Arem

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. 

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

4TU.ResearchData

csv

Ride acceptance behaviour of ride-sourcing drivers

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

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