Decentralized Method in Ride-sourcing Reposition Decision-making Process

Efficient repositioning strategies for idle vehicles in ride-sourcing systems help reduce passengers' waiting time and drivers' operational costs, which help platforms attract more passengers and drivers. In this paper, we propose a decentralized repositioning strategy for drivers, in which drivers make individual decisions on where they...

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

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...

On the Relocation Behavior of Ride-sourcing Drivers

Ride-sourcing drivers, as individual service suppliers, can freely adopt their own relocation strategies, including waiting, cruising freely, or following the platform recommendations. These decisions substantially impact the balance between supply and demand, and consequently affect system performance. We conducted a stated choice experiment...

Ride acceptance behaviour of ride-sourcing drivers

The performance of ride-sourcing services such as Uber and Lyft is determined by the collective choices of individual drivers who are not only chauffeurs but private fleet providers. In such a context, ride-sourcing drivers are free to decide whether to accept or decline ride requests assigned by the ride-hailing platform. Drivers’ ride...

Understanding ride-sourcing drivers' behaviour and preferences: Insights from focus groups analysis

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...

Exploring Demand Patterns of a Ride-Sourcing Service using Spatial and Temporal Clustering

On-demand transit has become a common mode of transport with ride-sourcing companies like Uber, Lyft, Didi transforming the way we move. With the increase in popularity for such services, the supply needs to adapt according to the demand. For this, the demand needs to analyzed to examine if there are recurrent patterns in them; making it...

Does ride-sourcing absorb the demand for car and public transport in Amsterdam?

The emergence of innovative mobility services, is changing the way people travel in urban areas. Such systems offer on-demand service (door-To-door or stop-To-stop, individual or shared) to passengers. In addition to providing flexible services to passengers, past studies suggested that such services could effectively absorb the demand for...

Exploring demand patterns of a ride-sourcing service using spatial and temporal clustering

On-demand transport has become a common mode of transport with ride-sourcing companies like Uber, Lyft and Didi transforming the mobility market. Recurrent patterns in prevailing demand patterns can be used by service providers to better anticipate future demand distribution and thus support demand-Anticipatory fleet management strategies. To...

Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing

Privately owned cars are an unsustainable mode of transportation, especially in cities. New Mobility on Demand (MoD) services should offer a convenient and sustainable alternative to privately owned cars. Notable in this field is the recent uprise of ride-sharing services such as offered by companies like Uber and Grab. Such services, especially...

An exploration to the impact of on-demand ride sharing services on urban tram systems

Traditional urban public transit may be on the verge of disruption with the global rise of new mobility services, such as on-demand ride-sharing, car-sharing and MaaS. Tram assets were found to be most vulnerable for disruption as the tram lacks the speed advantage of the metro and de bus has limited dedicated assets. Tram assets could run the...