Study: Uber dynamic pricing increases passenger fares, lowers driver earnings

Uber UK's dynamic pricing algorithm increases fares for passengers, reduces hourly earnings for drivers, and boosts Uber’s revenue share, according researchers, raising concerns about fairness, worker rights, transparency, and othe r issues. What happened Uber introduced its AI-powered dynamic pricing system in the UK in March 2023 to set the pay of its drivers and their assign work in real time. University of Oxford researchers d eployed data subject access requests (DSARs) to evaluate the impact of algorithmic pricing on the livelihoods of 258 Uber drivers in the UK, drawing on data from 1.5 million rides from 2016 to 2024. The researchers discovered that passenger fares increased, but driver earnings per hour dropped from over GBP 22 to just above GBP 19 before operating costs. The study also noted that drivers now spend more unpaid time waiting for rides. Meantime, Uber’s commission rose to 29 percent, sometimes taking over half the fare value. Prior to dynamic pricing, Uber’s commission had been fixed at 25 percent. The research highlights growing disparity and reduced predictability in driver pay and questions the fairness of Uber's algorithmic management approach. It also notes broader social and environmental harms from excess drivers and congestion , including air pollution and carbon emissions. Uber responded by saying it did "not recognise the figures in this report." Why it happened Uber likely introduced its AI dynamic pricing system to increase its revenue and margins in an increasingly competitive marketplace. To ensure its effectiveness, the company concealed the mechanics and impacts of the system and refused access to its customers, drivers and third parties. What it means For drivers, Uber's dynamic pricing system means less autonomy, lower and less predictable income, often below minimum wage after expenses, and increased unpaid waiting time. For passengers, this pricing strategy results in higher costs per trip. For society, it raises concerns about gig economy fairness, worker rights, and the environmental impact of excess vehicles on the road, while Uber profits from increased commission rates. The study highlights the need for greater transparency, accountability, and possibly regulatory oversight in the management of platform labour and algorithm-driven pricing. System 🤖 Dynamic Pricing Developer: Uber Country: UK Sector: Transport/logi s tics Purpose: Calculate price Technology: Pricing algori thm; Machine learning Issue: Accountability; Auto nomy/agency; Employment; Environment; Fairness; Transparency Resources 📃 Uber. How Uber’s dynamic pricing model works Investigations, assessments, audits 👁️ University of Oxford. Not Even Nice Work If You Can Get It; A Longitudinal Study of Uber's Algorithmic Pay and Pricing

Date it happened

2023-01-01

Organisation involved

Uber

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.