Friday

U B E R ’s Price Surging Tactics

U B E R ’s Price Surging Tactics


Picture the scene. You are in central London on New Years Eve, anxious to get home as fast as possible. “Who ya gonna call?” Uber! However, there are many other party dwellers around you requesting an Uber, but there just aren’t enough drivers around. When demand exceeds supply, Uber’s ‘price surge’ meter is turned on. Suddenly, you find your fare being doubled, maybe even tripled. Typical isn’t it? Just when you want a taxi, Uber exploits the situation. Unfair, isn’t it? Not as much as you may think…

Quite clearly, demand for Uber taxis is outstripping the supply of Uber drivers. There aren’t enough Uber drivers in close proximity to drive everyone who wants an Uber ride, either because the drivers themselves are out or because they are ferrying other revellers home. So, who should get the ride? The person who needs to ride the most would be willing to pay the most, and so would get the ride.

What about the other customers? That’s the beauty of price surging. Uber cabs in local neighbourhoods would be alerted of the price surging and they would drive to the party dwellers, responding to the incentive of a higher fare. Suddenly, there are more Uber cabs around, increasing their supply. This thus reduces the fare back down, closer to the standard price and ensures that almost everyone who wanted a ride can easily catch one.

Figure 2: A chart provided by Uber to
alert customers of the most popular times
on New Year's Eve
Was that price surging really necessary then? Of course it was. People, (this includes Uber drivers), respond to incentives. Without surge pricing, drivers in nearby neighbourhoods would not have deemed the benefit of earning an extra ride’s worth to outweigh the cost of driving to the new location. These costs include time taken to drive to the new location, fuel costs, and the fact that if the driver waited perhaps a little longer at their current destination they may receive a customer anyway. Thus, the party dwellers would not all have received a ride home as quickly as they would with price surging in place. Indeed, this is illustrated by the fact that in New York, on the 1st January a couple of years ago, when the surge-o-meter was not in operation, only 25% of Uber requests were fulfilled.

Figure 3: Uber's Surge Pricing Mechanism
For those who maintain that this practice is unethical because customers may not know that they are having to pay sometimes even five times the price, (as the payement process is automated), their argument is discredited by the fact that when price surging occurs, customers have to type in the price to confirm that they are still willing to take a ride.

Uber is a great example of the price mechanism in practice; admittedly, through, it is an accelerated model. However, it nonetheless highlights the hidden side of Economics. Uber is not as ‘unfair’ as people may moan; Uber is doing us all a favour.