Supply-side Behavioural Dynamics and Operations of Ride-sourcing Platforms

P. Ashkrof

doi:10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40

Supply-side Behavioural Dynamics and Operations of Ride-sourcing Platforms

P. Ashkrof

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

72 Downloads (Pure)

Abstract

This PhD thesis delves into the intricate realm of supply-side behavioural dynamics and operations within the ride-sourcing system. It investigates drivers' pivotal decisions, focusing on ride acceptance and relocation choices at the operational level. By leveraging a unique dataset, novel theories on ride-sourcing drivers’ behaviour are developed and thoughtfully integrated into a system operation model, shedding light on their far-reaching impacts on the overall ride-sourcing system performance.

Original language	English
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Cats, O., Supervisor van Arem, B., Supervisor Homem de Almeida Correia, G., Supervisor
Award date	9 Oct 2023
Print ISBNs	978-90-5584-336-7
DOIs	https://doi.org/10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40
Publication status	Published - 2023

Keywords

Ride-sourcing
Drivers' behaviour
Ride-sourcing drivers
Gig economy
Supply-side

Access to Document

10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40

PhD thesis - Peyman AshkrofFinal published version, 2.16 MB

Cite this

@phdthesis{cec3ecbe5e1741d9abbd65a3f37f5a40,

title = "Supply-side Behavioural Dynamics and Operations of Ride-sourcing Platforms",

abstract = "This PhD thesis delves into the intricate realm of supply-side behavioural dynamics and operations within the ride-sourcing system. It investigates drivers' pivotal decisions, focusing on ride acceptance and relocation choices at the operational level. By leveraging a unique dataset, novel theories on ride-sourcing drivers{\textquoteright} behaviour are developed and thoughtfully integrated into a system operation model, shedding light on their far-reaching impacts on the overall ride-sourcing system performance.",

keywords = "Ride-sourcing, Drivers' behaviour, Ride-sourcing drivers, Gig economy, Supply-side",

author = "P. Ashkrof",

year = "2023",

doi = "10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40",

language = "English",

isbn = "978-90-5584-336-7",

series = "Trail Thesis Series",

type = "Dissertation (TU Delft)",

school = "Delft University of Technology",

}

TY - THES

T1 - Supply-side Behavioural Dynamics and Operations of Ride-sourcing Platforms

AU - Ashkrof, P.

PY - 2023

Y1 - 2023

N2 - This PhD thesis delves into the intricate realm of supply-side behavioural dynamics and operations within the ride-sourcing system. It investigates drivers' pivotal decisions, focusing on ride acceptance and relocation choices at the operational level. By leveraging a unique dataset, novel theories on ride-sourcing drivers’ behaviour are developed and thoughtfully integrated into a system operation model, shedding light on their far-reaching impacts on the overall ride-sourcing system performance.

AB - This PhD thesis delves into the intricate realm of supply-side behavioural dynamics and operations within the ride-sourcing system. It investigates drivers' pivotal decisions, focusing on ride acceptance and relocation choices at the operational level. By leveraging a unique dataset, novel theories on ride-sourcing drivers’ behaviour are developed and thoughtfully integrated into a system operation model, shedding light on their far-reaching impacts on the overall ride-sourcing system performance.

KW - Ride-sourcing

KW - Drivers' behaviour

KW - Ride-sourcing drivers

KW - Gig economy

KW - Supply-side

U2 - 10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40

DO - 10.4233/uuid:cec3ecbe-5e17-41d9-abbd-65a3f37f5a40

M3 - Dissertation (TU Delft)

SN - 978-90-5584-336-7

T3 - Trail Thesis Series

ER -

Supply-side Behavioural Dynamics and Operations of Ride-sourcing Platforms

Abstract

Keywords

Access to Document

Fingerprint

Cite this