Imagine you live in Sydney's lavish suburb of Bondi, while your friend lives in one the city's lower socio-economic regions.
You both order an Uber home at the same time, with each ride having identical demand, traffic and distance travelled.
Yet, you are charged significantly more for the service because of where you are travelling.
This could soon be a reality with Uber introducing "route-based pricing" — a new fixed rate fare system for its UberX service that charges customers based on what it predicts they would be willing to pay.
Using machine-learning techniques, Uber was able to discover customers would happily pay a fixed-premium to travel some high-demand routes — basing the new pricing from this data.