Daily insights for city builders, delivered every morning at 6 AM ET. I’m Brandon Donnelly — a Toronto-based real estate developer and founder of Globizen. I’ve been writing here since 2013.
It’s been raining all morning, but apparently there is an ocean hidden in the above picture. We also got in after dark and so all I really saw was what I could see on the drive from the airport.
Whenever I am reminded that the vast majority of built form in North America is car-oriented in nature, I can’t help but think of how sticky all of this is going to be.
Witold Rybczynski put it accurately when he said, “urbanism and architecture observe different time lines.” Buildings may take forever to build, but relative to urban form, they actually change pretty quickly.
New materials and styles emerge, and so do new buildings. But the streets that surround them change so slowly, that for all intents and purposes, they mostly don’t change.
What that means is that, for better or for worse, most of what we see is likely to persist. No wonder there is an arms race going on with autonomous vehicles.
This is going to be old news to many of you, but this past week I experienced Tesla’s self-driving capabilities for the first time. And I must say that I was very impressed. It did everything from navigate stop-and-go city traffic to navigate lane changes on the highway. Overall, it makes my five-year old car feel pretty quaint. The software is that much more sophisticated and one has to assume that all of this autonomy stuff will only get significantly better as LIDAR becomes common place in production vehicles.
In other car news, North America appears to be narrowing in on an EV charging plug standard. It is Tesla’s plug, but it is now appropriately called the North American Charging Standard (NACS) plug. And last week, Electrify America — which is the largest non-Tesla, fast-charging network in the US — announced that it would be adding the plug to its network. The company also happens to be owned by Volkswagen. So big and important companies seem to be coalescing around this plug type.
Lastly for today, here’s a post by Fred Wilson talking about (1) bi-directional EV charging, (2) the apartment buildings he and his wife are developing, and (3) our ongoing transformation away from a centralized electrical grid to a decentralized one. What he talks about in his post is something that we are actually piloting in a few of Slate’s office buildings right now. It’s still early days, but I think it’s really exciting. Tech seems to be enabling a broader shift toward decentralization. And in the case of our electrical grid, it’s going to lead to a more resilient one.
Last month, Waymo (Alphabet) and Uber announced a new multi-year partnership that will bring Waymo’s autonomous vehicles to Uber in the Phoenix area later this year. Already, Waymo operates across 180 square miles of the city, making it the largest fully autonomous service area in the world. But now, or I guess later this year, people will be able to order a Waymo AV through the Uber app.
Not a lot of people seem to care about autonomous vehicles anymore. For a while, every conference had people talking about how they were going to reshape our cities. But then the technology didn’t arrive quite as quickly as people were hoping, and so everyone lost interest and move on to other more exciting things. But clearly things are still happening. And this announcement strikes me as being an important one.
One of the great promises of autonomous vehicles is that, one day in the future, you’ll be able to get into your car, fall asleep, and then wake up refreshed at your destination. This would be a nice luxury, and it would almost certainly reshape the geography of our cities.
But at the same time, it’s worth a reminder that “sleeper cars“, or bed carriages as they were originally called, are definitely not a new thing. Possibly the first example of a sleeper car was in England in the 1830s. Trains, of course, don’t take you exactly where you want to go like a car, but a sleeper train does allow you to travel while you sleep.
And so it is interesting to see that sleeper trains are apparently seeing a resurgence in popularity across Europe. To the point that the trains are full and rail operators can’t seem to get their hands on new carriages. I can’t recall ever travelling in a sleeper train, but I have to say that this looks like a highly civilized way to move around:
Let’s add some historical context to yesterday’s post about autonomous vehicles. As the regular non-autonomous version of cars started to infiltrate our cities in the early 20th century, largely following the creation of the mass-produced Ford Model T, there was a general view that cars were dangerous and a menace to cities. Arguably, not much has changed.
So in the 1930s, the Federal Housing Authority decided to publish a pamphlet explaining what street networks it thought were suitable for this new emerging car world and which street networks were not. The exact terms that they used were “bad” and “good”, and here’s what that looked like (taken from this CNU article):
The “bad” ones are largely how the US liked to design its cities before the arrival of the car. Some historic settlements, like Boston and Manhattan south of 14th street were based on different street logics, but as far back as the 1680s, William Penn had already started laying out a grid iron plan for Philadelphia. And in reality, this kind of street pattern goes all the way back to ancient cities.
However, when the car arrived, these grid iron plans were thought to offer an inadequate amount of separation between people and machine. The solution was to optimize around the car and introduce a clear hierarchy of different streets. Big streets for moving cars quickly, and smaller streets, like cul-de-sacs, for people to live on.
These “good” examples, of course, represent the modern suburb. But we now recognize that these types of street networks are unequivocally terrible for walkability, the environment, public health, social equity, and a whole host of other things. I mean, look at this extreme example of two suburban homes in Orlando whose backyards adjoin but are technically separated by 7 miles and a 20-minute drive!
My point with all of this is that, for many/most at the time, this was progress. Cars were the future and there was optimism about the kind of freedoms and other benefits that they would bring to people. And this optimism is perhaps not all that different from what many people feel today, myself included, when it comes to autonomous vehicles.
So on the one hand, you could point to the car and say, “look at all the damage that this thing did to our cities. Let’s not do that again. Autonomous vehicles must be stopped.” But that’s akin to wishing the car was never invented. Another option is to point to the negative externalities associated with the car and say, “look at what we’ve done. We can do better. Let’s make our cities better.”
Positive change, no matter how late, is always a possibility.
Cruise, the autonomous taxi service owned by GM, is working toward offering 24/7 service in San Francisco. I wrote about that here. And so it recently came out with some supportive data suggesting that between September and November of last year, it completed 2,800 rides covering some 27,000 miles, and that it did so without a major collision or injury.
The San Francisco Municipal Transportation Agency, however, disagrees. They are opposing Cruise’s service expansion plans, and have reported 92 incidents where Cruise’s autonomous taxis have obstructed traffic, caused delays to transit, blocked lanes and, apparently in two cases, driven over firehoses.
These two things are not all that surprising. Firstly, autonomous vehicles are still in their infancy and they are known to do silly things. Part of this, I’m sure, is because they’re programmed around road and life safety. And so if they don’t know what to do, they’re going to default to what is deemed safe, even if it means blocking a lane or obstructing traffic.
It has become tradition around here that at the end of each year I write down my predictions for the following one. And in 2022, I did that here. The overarching point of writing something like this down publicly is not necessarily to be right (because you can do that through obvious predictions). The point is to dedicate time to thinking (which is oftentimes hard to do throughout the year), to search for non-obvious things, and to generally be okay with being wrong. So I plan to do this again in the coming weeks for 2023.
But first, let’s see how I did with my 2022 predictions:
COVID: I argued that 2022 would be the year that the pandemic becomes endemic and it reaches a point where it no longer factors into decision making in the same way that it has since 2020. Some of you may disagree whether this is a good thing, but I would still say that this happened, at least in this part of the world. I started the year in lockdown here in Toronto and I ended the year having taken multiple overseas trips where testing was no longer required. (Right)
Return to office: I was kind of close. I thought that the majority of people would be back in their offices by September. I didn’t say that hybrid/flex work was going to disappear, but that we would see a great return. That did happen, according to my super scientific Jimmy the Greek Reopening Index. But if you look at the latest swipe card data for the 10 largest US cities, average occupancy is hovering just below 50%, which is not a majority. (Wrong)
Recreational/fringe housing: I felt very strongly that we would see a pullback in residential real estate this year, specifically recreational properties and properties in tertiary markets. This 100% happened, but I’ll be honest in that I was not thinking about the interest rate hikes that we saw. I just saw it as a pandemic bubble. I also thought that apartment rents would do very well and surpass pre-pandemic levels. This happened in many markets. (Right)
Return of travel: Yup. (Right, but maybe too obvious?)
Intensification of single-family home neighborhoods: This continued to be an important topic in 2022. Did we see some a tipping point-like moment, like I had predicted? I think it depends on the market, but here in Toronto we did see things like Bill 23, as well as additional efforts on the part of Mayor John Tory. (Right)
Autonomous vehicles: Progress was made this year. You can now hail an autonomous taxi in places like San Francisco. But I also thought that this would be a fantastic year for Uber as the world reopened, and that they’d finally become profitable. As of Q3 of this year, that had not happened. (Wrong)
Public transit and micromobility: I got the public transit ridership piece correct. I assumed that ridership levels would remain depressed. Perhaps an obvious one. But I also figured that e-scooters would be one of the main beneficiaries. While it is true that e-scooters remain very popular, particularly with French people, we did see ridership decline in the US, as the availability of cheap capital waned. (Mostly right)
NFTs and augmented reality: There’s a lot happening in this digital world and I continue to be incredibly bullish. But we are certainly in a “crypto winter.” I also thought that Apple would announce something big related to augmented reality this year, but supposedly that has been pushed to next year. (Wrong)
Climate change and carbon prices: I thought that the price of carbon on the EU’s Emissions Trading System would surge this year. It did not. Right now it’s looking like it’ll end up being fairly flat for the year. Of course, I also had no idea that Russia would do terrible terrible things to Ukraine, which has had dramatic impact on energy markets. (Wrong)
More crypto (Ethereum, Bitcoin, and Solana): Well, I got this last one really wrong. ETH is down ~70% over the last year relative to the US dollar. I was not predicting a “crypto winter.” And I did not know that Sam Bankman-Fried was operating a weird cult-like ponzi scheme out of a penthouse in the Bahamas. None of this changes my views on crypto, but I was still wrong in 2022. (Wrong)
Looks like I’m somewhere around 5/10.
Stay tuned for my predictions for 2023. In the meantime, if any of you have predictions of your own, I would love to hear from you in the comment section below or on Twitter.
Cruise, which I wrote about earlier this year, has just announced that its autonomous taxi service will soon be available to the general public 24 hours a day, across all of San Francisco. Initially the service was only available between 11PM and 5AM (when traffic volumes are lower), and in certain parts of the city. It was also free to use. In total, the company now has about 300 AVs operating across San Francisco, Austin, and Phoenix. And it has been charging for rides since June of this year.
According to McKinsey, something like $100 billion has been invested in trying to get autonomous vehicles to work and yet the industry remains stuck with problems like this one here:
State-of-the-art robot cars also struggle with construction, animals, traffic cones, crossing guards, and what the industry calls “unprotected left turns,” which most of us would call “left turns.”
The industry says its Derek Zoolander problem applies only to lefts that require navigating oncoming traffic. (Great.) It’s devoted enormous resources to figuring out left turns, but the work continues.
Right now certainly feels like an autonomous vehicle winter (we have many winters going on at the moment). The industry has spent a lot of time and money getting maybe 90% of the way there, but this last bit has proven to be a lot more challenging than I think most people anticipated.
This has a lot of people thinking that it’s going to be many decades before we finally get full autonomy (if ever) and that, in the interim, all we will have are very specific use cases: trucks on highways, mining machines (the above article writes about this), and so on.
This may very well be the case. Frankly, I don’t know. But it’s perhaps important to remember two things: (1) pessimists aren’t usually the ones who change the world and (2) there is something known as the Gartner hype cycle, which is a graphical representation of how new innovations typically get adopted.
The Gartner hype cycle has five phases. The important ones for this discussion are the first three. First there is a technology trigger. Second there is an inflation of expectations (until it hits a peak). And then third, there is a trough of disillusionment. This is the moment where interest wanes and people begin to think it’ll never happen (until it does happen).
That might be what we’re living through right now, or it might not be. But my gut tells me that it’s the former.
I hate driving. So I’m looking forward to the day when autonomous vehicles will be able to take me where I need to go, such as out for a late-night poutine.
But as we all know, autonomy has proven to be a trickier problem to solve than most people initially anticipated. Though I do believe that we’re getting there, especially for certain use cases.
The WSJ recently published an interesting article talking about why autonomy is likely to reach the trucking industry well before it reaches general consumers. And that feels right to me:
Here’s the promise of robot trucks: While full self-driving in all conditions is still a pipe dream, engineers seem to be close to achieving it in limited circumstances, such as on highways on clear days. And highway driving, in good weather, happens to be exactly the context in which long-haul trucks operate for a substantial portion of the time.
The article also gets into some of the economic benefits of figuring this all out:
Adding even $20,000 of hardware, in the form of additional sensors and powerful computers, to a long-haul truck is quickly offset by the elimination of labor costs, which typically represent 15% to 20% of the cost of operating a truck. Another big economic impact is that by law a human driving a truck must stop and rest. That means every truck, which can cost between $100,000 and $200,000, is only being used about 30% to 40% of the time. Just running them 24 hours, stopping only for fuel and maintenance, increases their utilization by a factor of two or more.
