The long game is in capitalizing on (a) network effects and (b) the effects of changing technology on consumer behavior and market structure.
Start with network effects. I live in New York. There are many transportation options. Like my tendency to default to a "top of my wallet" credit card, I tend to fire up Uber first. Other options are considered if Uber disappoints. It seldom does; Uber remains at the top of my "stack". This leads to me demanding several rides a day more from Uber than from its competitors. That, in turn, makes Uber marginally more attractive to drivers. The technology is easy to copy, but the ecosystem is not: network effects.
Let's now consider the effects of changing technology on consumer behaviour. I can walk out of the aeroport in San Francisco, Paris, Austin or Abu Dhabi and have an Uber fueled and ready. Uber has been the driving factor behind me abandoning my driver's license, and with it expectations of ever owning a car.
Here's another technology: driverless cars. Driverless cars reduce fleet costs and risks, and increase scalability on the supply-side (i.e. scale is no longer limited by driver availability and quality). If I were writing Uber's strategy, everything until the availability of fully automated automobiles would be geared towards establishing a strong opening for driverless cars. The tactical phase deploys in force only after the supply side of the scaling problem has been kicked away.