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Uber's current fare structure has the intention - leaving aside the ludicrous assertion that Uber wants to impoverish its drivers - of increasing its profits. Assuming that it's not based on a "predatory" model of undercutting the competition, then it has to be derived from a model of the demand curve at various price points. Uber must believe that the current fare structure maximizes the TOTAL revenue better than at other price points.
But from whence does Uber get this hypothetical demand curve and does it conform to reality?
I'm guessing that Uber is basing its projections on data they are getting from surge pricing. They are tracking the demand at various surge prices and calculating the optimum price point from these. If the demand at 1.2, 1.4,1.6, and other points indicates a fall in demand that would result in total revenue lower than at the basic rate then they project that this rate is at the optimum point.
But do surge prices accurately reflect EVERYDAY demand at various price points? The assumption is that the demand at a 1.2 surge is IDENTICAL with a basic rate 20% higher than the present one. But what if riders have a psychological opposition to ordering Ubers at any sort of surge prices? - the old "wait until the surge price subsides" that we drivers know so well. In other words, surge data doesn't allow for the psychology of the situation and may be dramatically different from the demand situation if the higher basic rates were an every day thing. There may well be a much higher demand at a basic rate of $1.20 a kilometre than at a temporary surge of 1.2.
So does Uber need to change the way they decide how to evaluate projected fare structures?
But from whence does Uber get this hypothetical demand curve and does it conform to reality?
I'm guessing that Uber is basing its projections on data they are getting from surge pricing. They are tracking the demand at various surge prices and calculating the optimum price point from these. If the demand at 1.2, 1.4,1.6, and other points indicates a fall in demand that would result in total revenue lower than at the basic rate then they project that this rate is at the optimum point.
But do surge prices accurately reflect EVERYDAY demand at various price points? The assumption is that the demand at a 1.2 surge is IDENTICAL with a basic rate 20% higher than the present one. But what if riders have a psychological opposition to ordering Ubers at any sort of surge prices? - the old "wait until the surge price subsides" that we drivers know so well. In other words, surge data doesn't allow for the psychology of the situation and may be dramatically different from the demand situation if the higher basic rates were an every day thing. There may well be a much higher demand at a basic rate of $1.20 a kilometre than at a temporary surge of 1.2.
So does Uber need to change the way they decide how to evaluate projected fare structures?