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> Which creates carpooling opportunities through economies of scale

Like busses and trains? Seriously. Public transit.

The issue is a geometric one. There is only a fixed road capacity. Consuming that road capacity with deadheading vehicles is the worst usage.




Public transit has other significant drawbacks.

IE, it can't go point to point, and is instead stuck in a movement pattern that isn't changing.


A self-driving taxi might help that a lot. Call up a self-driving uber to take you from your home to the nearest train station, and take the light rail into downtown.

I think it would be feasible for the self-driving taxi companies to have a small fleet of cars in each neighborhood that could respond rapidly to take people for short trips.


That would still significantly increase commute times.

By definition, public transit can only serve a specific segment of the commuting population.


> IE, it can't go point to point, and is instead stuck in a movement pattern that isn't changing.

That's not inherent to public transport. You can easily imagine a public network of bus transit where users send in a request for transit an hour or two beforehand; software coalesces the set of requests into a dynamic set of routes and stops; and tells the user to turn up at a stop (relatively) near the origination point and drops them off at a stop (relatively) near their destination point.

Whether it's economic or feasible is a separate issue. But funding mechanism, transport form factor, and autonomy are all distinct parts of a transportation method, and it's a mistake to think of "private autonomous cars" as competing with "legacy human-driven buses with set routes."


What you described still has significant drawbacks. I don't want to have to input into an app, an hour ahead of time to get where I need to go.

If "on demand mass transit via large multipeople vehicles (IE busses)" were feasible, then you'd already see companies like Uber doing it.

On demand point to point, where you don't have to wait a dozen stops to get where you want, is just strictly better than the alternatives in many many ways.


> I don't want to have to input into an app, an hour ahead of time to get where I need to go.

Sure. Get around this by having preset schedules. Or infer it. These details matter, but you can point out similar issues for public transit as it exists today and for private car ownership as it exists today: both are commonly used, despite drawbacks.

> If "on demand mass transit via large multipeople vehicles (IE busses)" were feasible, then you'd already see companies like Uber doing it.

Not at all. Uber and Lyft are premised on having a large base of independent contractors to perform all the labor and provide all the capital. "Large multipeople vehicles" would require complicated integrations with different municipalities, or for Uber/Lyft to purchase their own fleet of buses. Neither aligns well with their current businesses.

> On demand point to point, where you don't have to wait a dozen stops to get where you want, is just strictly better than the alternatives in many many ways.

Sure. And shared rides is strictly better in one very important way: cost. I'm much less cost-sensitive than the average American, and I take Lyft Line far more often than a regular Lyft.

It's not about what's best, but best in certain situations. I value latency sometimes, and cost sometimes.


Precisely.

Current public transportation is rigidly designed for capturing massive economies of scale (still good), while a dynamic swarm of self-driving vehicles can fulfill last-mile demand with the benefits of economies of scale (market opportunity).


Neither can Lyft, Uber, etc. if there is not available GEOMETRIC capacity.

There is a fixed road area to work with.




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