There’s also a huge amount of nonsense in some of these breathless ideas of reduced traffic.
The roads are crowded at 8am because everybody is going to work at once. That won’t change just because the ownership of the cars changes.
If shared fleets are to be widely used, they have to be sized for *peak *demand, not the 24-hour average demand. At least until we can get lots of workers of all kinds onto staggered shifts spread evenly around the clock. Fat chance of that.
Said another way, if by magic we could replace the entire US fleet overnight with shared zipcars, traffic would be utterly UNchanged.
The thing shared fleet ownership *might *enable is a *small *reduction in the need for parking at workplaces. Some fraction of the shared cars will be needed during the day to meet the demand at 9am, 10am, 11am, 12noon, 2pm, etc. Until at 4pm the whole fleet again is simultaneously deployed to move everybody home at once. My WAG is that 1/3rd of the vehicles will be needed during the day and 2/3rds will simply be stored between commuting peaks. In the evening 10% will be needed and 90% will be stored. Overnight it’s 5%/95%. All the unused cars have to park. Someplace.
If all these shared vehicles were all magically self-driving, maybe we could cram more cars into the roads and have less congestion- and accident-related slowdowns. But that would be equally true if all the self-driving cars were individually owned versus fleet-owned.
The other idea is that shared cars, whether human or computer driven, could accommodate more than one passenger with different pickup points and different destinations. It’s a good bet that if we could put every person’s typical commute into a database and match them up in pairs we could take 20% of the cars off the highways at the expense of increased driving at both ends to pick up and drop off the second person.
Anyone who’s ever used a shared van shuttle service to/from an airport is familiar with the process. And with it adding about 50% to the duration of most journeys. It’s not obvious to me that’s a product that’ll sell. How much would you need to save on total car costs to be willing to add 20% to your commute time? 50%? Remember this extra 20%/50% is every single workday, not just that one time you’re riding to the airport to go on a weeklong trip.
Traffic density is essentially proportional to vehicle miles driven per area per time. Every moment a vehicle is shuttling between pickup/dropoff points is added mileage versus the solo trip case. IMO the net effect of shared ride vehicles, human- or computer-driven, will be to significantly increase traffic in suburbs and downtowns and commercial industrial parks while slightly reducing traffic on main highways / freeways. Remember the tragedy of the commons applies here: Your ride is faster if everybody else doubles up. But your ride also is faster if you don’t.
For autonomous shared vehicles, every mile the car travels with no person on board is a deadweight cost to the operating company and a deadweight increase in traffic for the rest of us.
In downtown Big City during the weekday the typical deadhead distance might be a couple miles of milling around waiting for a call; not too bad. To carry 50% of commuters that way the deadhead mileage might be 40 miles per passenger; big difference. Uber / Lyft’s experience to date with human driven taxis is much closer to the former case. By and large people don’t use those services today for routine mass market commuting. But that’s exactly what the end-game use case is for fleet-owned cars, human or autonomous. As such, current experience data will not scale directly.
I know Uber / Lyft know this. But lots of media commentators and regular Joe’s like us don’t seem to grasp the difference.