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Understanding ride-sourcing drivers' behaviour and preferences: Insights from focus groups analysis
Peyman Ashkrof1, Gonçalo Homem de Almeida Correia1, Oded Cats1
1Department of Transport and Planning, Delft University of Technology, Stevinweg 1, Delft, Netherlands.
Research in Transportation Business & Management
|April 15, 2024
Summary
Understanding ride-sourcing driver behavior is crucial for platform retention. Key decisions like ride acceptance and work hours are influenced by platform strategies, driver characteristics, and external factors, with flexibility being a major draw but system drawbacks causing concern.
Area of Science:
- Transportation Science
- Mobility Studies
- Human-Computer Interaction
Background:
- Ride-sourcing has emerged as a disruptive force in transportation, central to the shared mobility era.
- The relationship between ride-sourcing platforms and their drivers is often strained, necessitating a deeper understanding of driver behavior.
- Drivers function as both chauffeurs and fleet owners, making critical operational decisions impacting the wider transport system.
Purpose of the Study:
- To investigate ride-sourcing drivers' opinions on system functionalities and their interactions with platforms.
- To identify factors influencing key driver decisions, including ride acceptance, relocation, and work scheduling.
- To develop a conceptual model explaining the interplay between driver decisions and influencing factors.
Main Methods:
- Conducted a series of focus groups with ride-sourcing drivers in the Netherlands.
- Gathered insights into drivers' perceptions of platform functionalities and desired system changes.
- Analyzed qualitative data to identify patterns in driver decision-making.
Main Results:
- Driver decisions are influenced by a complex interplay of platform strategies, driver attributes (part-time/full-time, experience level), rider characteristics, and external factors.
- Flexibility and freedom are primary motivators for drivers joining ride-sourcing platforms.
- Key drawbacks identified include an unfair reputation system, navigation algorithm issues, high competition, a passenger-centric platform, high commission fees, and misleading guidance.
Conclusions:
- Driver behavior in ride-sourcing is multifaceted, influenced by both intrinsic motivations and platform-related challenges.
- Addressing system drawbacks is essential for improving driver satisfaction and retention in the competitive ride-sourcing market.
- The proposed conceptual model provides a framework for understanding and potentially optimizing driver operational and tactical decisions.
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