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2020 ; 37
(ä): 100516
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Understanding ride-sourcing drivers behaviour and preferences: Insights from
focus groups analysis
#MMPMID38620316
Ashkrof P
; Correia GHA
; Cats O
; van Arem B
Res Transp Bus Manag
2020[Dec]; 37
(ä): 100516
PMID38620316
show ga
Ride-sourcing has recently been at the centre of attention as the most disruptive
mode of transport associated with the so-called shared mobility era. Drivers,
riders, the platform, policymakers, and the general public are considered as the
main stakeholders of the system. While ride-sourcing platforms have been growing,
so did the heightened tension between them and their drivers. That is why
understanding drivers' behaviour and preferences is of key importance to
ride-sourcing companies in managing their relationship with drivers (also known
as driver-partners) and in retaining them in the presence of competence.
Ride-sourcing drivers are not only chauffeurs but fleet owners. They can make
various operational and tactical decisions that directly influence other
stakeholders and the transport system performance as a whole. Conducting a series
of focus groups with ride-sourcing drivers in the Netherlands, we have studied
their opinions about the system functionalities as well as their possible
interactions with the platform and wishes for changes. The focus group results
suggest that the main decisions of drivers, which are ride acceptance, relocation
strategies, working shift and area in which to work, could be affected by many
elements depending on platform strategies, drivers' characteristics, riders'
attributes, and exogenous factors. We find that part-time and full-time drivers,
as well as experienced and beginning drivers, are characterized by distinctive
behaviour. Flexibility and freedom were mentioned as the key reasons for joining
the platform while an unfair reputation system, unreliable navigation algorithm,
high competition between drivers, passenger-oriented platform, high-commission
fee, and misleading guidance were acknowledged as being the main system
drawbacks. Based on our findings, we propose a conceptual model that frames the
relationship between the tactical and operational decisions of drivers and
related factors.