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Despite the potential of online sharing economy platforms such as Uber, Lyft, or Foodora to democratize the labor market, these services are often accused of fostering unfair working conditions and low wages. These problems have been…

Physics and Society · Physics 2020-09-01 Eszter Bokányi , Anikó Hannák

Ride-hailing marketplaces like Uber and Lyft use dynamic pricing, often called surge, to balance the supply of available drivers with the demand for rides. We study driver-side payment mechanisms for such marketplaces, presenting the…

Computer Science and Game Theory · Computer Science 2021-03-09 Nikhil Garg , Hamid Nazerzadeh

Ride-sourcing platforms such as Uber and Lyft offer drivers (i.e., platform suppliers) considerable freedom of choice in multiple aspects. At the operational level, drivers can freely accept or decline trip requests that can significantly…

Multiagent Systems · Computer Science 2023-10-10 Farnoud Ghasemi , Peyman Ashkrof , Rafal Kucharski

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…

Physics and Society · Physics 2021-07-19 Peyman Ashkrof , Gonçalo Homem de Almeida Correia , Oded Cats , Bart van Arem

In the last decade, there has been a growth in, what we call, digitally mediated workplaces. A digitally mediated workplace is one where interactions between stakeholders are primarily managed by proprietary, algorithmically managed digital…

Computers and Society · Computer Science 2018-03-26 Benjamin V. Hanrahan , Ning F. Ma , Chien Wen Yuan

In ridesharing platforms such as Uber and Lyft, it is observed that drivers sometimes collaboratively go offline when the price is low, and then return after the price has risen due to the perceived lack of supply. This collective strategy…

Computer Science and Game Theory · Computer Science 2022-02-16 Chenkai Yu , Hongyao Ma , Adam Wierman

This study examines fairness within the rideshare industry, focusing on both drivers' wages and riders' trip fares. Through quantitative analysis, we found that drivers' hourly wages are significantly influenced by factors such as…

Human-Computer Interaction · Computer Science 2024-07-31 Yuhan Liu , Yuhan Zheng , Siyuan Zhang , Lydia T. Liu

As modern transportation systems become more complex, there is need for mobile applications that allow travelers to navigate efficiently in cities. In taxi transport the recent proliferation of Uber has introduced new norms including a…

Computers and Society · Computer Science 2017-01-17 Anastasios Noulas , Vsevolod Salnikov , Desislava Hristova , Cecilia Mascolo , Renaud Lambiotte

Uber has recently been introducing novel practices in urban taxi transport. Journey prices can change dynamically in almost real time and also vary geographically from one area to another in a city, a strategy known as surge pricing. In…

Computers and Society · Computer Science 2015-08-31 Anastasios Noulas , Vsevolod Salnikov , Renaud Lambiotte , Cecilia Mascolo

Gig economy consists of two market groups connected via an intermediary. Popular examples are rideshares where passengers and drivers are mediated via platforms such as Uber and Lyft. In a duopoly market, the platforms must compete to…

Computer Science and Game Theory · Computer Science 2024-04-18 Pravesh Koirala , Forrest Laine

Peer-to-peer ride-sharing platforms like Uber, Lyft, and DiDi have revolutionized the transportation industry and labor market. At its essence, these systems tackle the bipartite matching problem between two populations: riders and drivers.…

Multiagent Systems · Computer Science 2024-03-21 Rhea Acharya , Jessica Chen , Helen Xiao

This paper considers a combination of intelligent repositioning decisions and dynamic pricing for the improved operation of shared mobility systems. The approach is applied to London's Barclays Cycle Hire scheme, which the authors have…

Systems and Control · Computer Science 2014-04-29 Julius Pfrommer , Joseph Warrington , Georg Schildbach , Manfred Morari

We introduce an improved algorithm for the dynamic taxi sharing problem, i.e. a dispatcher that schedules a fleet of shared taxis as it is used by services like UberXShare and Lyft Shared. We speed up the basic online algorithm that looks…

Data Structures and Algorithms · Computer Science 2023-11-06 Moritz Laupichler , Peter Sanders

There is a fierce competition between two-sided mobility platforms (e.g., Uber and Lyft) fueled by massive subsidies, yet the underlying dynamics and interactions between the competing plat-forms are largely unknown. These platforms rely on…

Multiagent Systems · Computer Science 2023-10-10 Farnoud Ghasemi , Arkadiusz Drabicki , Rafał Kucharski

Digital workers on crowdsourcing platforms (e.g., Amazon Mechanical Turk, Appen, Clickworker, Prolific) play a crucial role in training and improving AI systems, yet they often face low pay, unfair conditions, and a lack of recognition for…

Human-Computer Interaction · Computer Science 2025-06-16 ATM Mizanur Rahman , Sharifa Sultana

A major challenge for ridesharing platforms is to guarantee profit and fairness simultaneously, especially in the presence of misaligned incentives of drivers and riders. We focus on the dispatching-pricing problem to maximize the total…

Optimization and Control · Mathematics 2022-07-14 Zishuo Zhao , Xi Chen , Xuefeng Zhang , Yuan Zhou

The usability of ride-sharing services like Uber and Lyft has been considerably improved by advancements in cellular communications. Such a tech-driven transportation system can reduce the number of private cars, in roads with limited…

Systems and Control · Electrical Eng. & Systems 2023-12-29 Hossein Rastgoftar

Ride-sharing services are revolutionizing urban mobility while simultaneously raising significant concerns regarding fairness and driver equity. This study employs Chicago Trip Network Provider dataset to investigate disparities in…

Human-Computer Interaction · Computer Science 2025-02-14 Hy Dang , Yuwen Lu , Jason Spicer , Tamara Kay , Di Yang , Yang Yang , Jay Brockman , Meng Jiang , Toby Jia-Jun Li

Several scientific studies have reported the existence of the income gap among rideshare drivers based on demographic factors such as gender, age, race, etc. In this paper, we study the income inequality among rideshare drivers due to…

Artificial Intelligence · Computer Science 2020-12-17 Yifan Xu , Pan Xu

Ride-sourcing platforms such as Uber and Lyft are prime examples of the gig economy, recruiting drivers as independent contractors, thereby avoiding legal and fiscal obligations. Although platforms offer flexibility in choosing work shifts…

Emerging Technologies · Computer Science 2025-09-16 Farnoud Ghasemi , Arjan de Ruijter , Rafal Kucharski , Oded Cats
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