I used Turo for the first time this evening. For those of you who aren’t familiar, Turo is like Airbnb, but for cars. It connects people who have cars with people who need rental cars. Here is a photo of ours at SLC:

The pickup was perfectly seamless. I got a text from an alleged human the day before. It said that they would leave the car on the second level of the parking garage next to baggage claim. And that I would get more precise instructions -- such as where the key will be -- after it was parked there.
I was also told that there would be a small charge to pay in order to exit the garage. And that the charge would obviously depend on how quickly I retrieve the car after they park it. In my case it ended up being US$10, but we also stopped for food on the way.
Overall, I’d say the pickup experience was easier and faster than your typical rental car. The car was as advertised. And thankfully, it was also there waiting for us. The two standout features for me are probably: (1) It was cheaper and (2) you get to pick your exact car.
This second one is important because sometimes you need a rental car so that you can drive it into a snow-covered canyon. And when faced with this situation, it can be helpful to know exactly what you’ll be getting — right down to the type of tires.


This is the current state of global electric vehicle adoption:
Last year was the first year that global electric-vehicle sales reached 10% of all car sales -- the total was around 7.8 million cars (see above chart)
Fully-electric vehicles accounted for about 5.8% of all car sales in the US, 11% of all car sales in Europe, and about 19% of all car sales in China -- China is leading in this department
The US saw 807,180 fully-electric vehicle sales last year -- Tesla remains the biggest EV maker in the world
This is an interesting study from a team of AI researchers at Stanford. What they did was use car images taken directly from Google Street View (so images of cars parked on-street) to predict income levels, racial makeup, educational attainment, and voting patterns at the zip code and precinct level.
Admittedly, it’s not a perfect survey, but when they compared their findings to actual or previously collected data (such as from the American Community Survey), it turns out that their study was actually remarkably accurate. Google Street View allowed them to survey 22 million cars, or about 8% of all cars in the US.
Here are some of the things they found:
- Toyota and Honda vehicles are strongly associated with Asian neighborhoods.
- Buick, Oldsmobile, and Chrysler vehicles are strongly associated with black neighborhoods.
- Pickup trucks, Volkswagens and Aston Martins are strongly associated with white neighborhoods.
Interestingly enough, the ratio of pickup trucks to sedans, alone, is a pretty reliable indicator of voting patterns. If a neighborhood has more pickup trucks than sedans, there’s an 82% chance it voted Republican in the last election.
Perhaps this isn’t all that surprising given that car purchases are highly symbolic. But given that the American Community Survey costs $250 million a year to administer, this study is a good preview of what cheaper and more realtime data collection might look like.
In Germany, electric vehicles accounted for about 25% of all new vehicles produced last year -- BMW reported a 5% decline in new-car sales, but saw its EV sales more than 2x
Similar story with Volkswagen: 7% decline in new-car sales; 26% increase in EV sales
This year, some are predicting that China will see EV sales increase to every third car, and that it will reach its tipping point sometime between 2025-2030
It is obvious where all of this is heading. It is simply a question of how fast, and who will be the leaders at the end of the day.
All data sourced from the WSJ
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