
Last fall, David Ticoll (who is a research fellow at the Munk School of Global Affairs at the University of Toronto) published a thorough discussion paper called Driving Changes: Automated Vehicles in Toronto.
If you’re interested in driverless cars, and I know that a lot of you are, then it’s definitely worth a weekend read. It’s fairly long. He gets into the various automation levels, the transition period, the implications for policy makers, the benefits, and so on.
Here’s a quick snippet on the topic of benefits:
“This report provides bottom-up analysis based on Toronto-specific data. The result is a conservative estimate that were AVs to be at a 90% adoption rate in Toronto today, the result would be annual savings of $6 billion, or 4% of the City’s $150 billion gross domestic product. This includes $1.2 billion from reduced collisions, $2.7 billion out of congestion costs, $1.6 billion from insurance, and $0.5 billion from parking fees and fines. AVs will provide other quantifiable social and economic benefits that range from fewer deaths and hospitalizations thanks to lower particle emissions, to productivity gains in many business sectors.”
But of course there’s the question of: when will this happen? Below is a chart from the paper that was assembled using various consultant/analyst predictions. Based on this, we’re still over a decade away from the consumer adoption of automated vehicles.

However, these are just estimates and history has shown us that the adoption rate for new technologies has been increasing over time. Below is a chart by Michael Felton, which is also from the paper, that shows this phenomenon. Take a look at the telephone in comparison to the internet.

Maybe I’m being overly optimistic (it wouldn’t be the first time), but consumer-facing driverless cars, at least to me, feel pretty close to the horizon.

This morning Fred Wilson linked to a Bloomberg article on his blog called, Maybe This Global Slowdown Is Different. There are a bunch of great charts throughout the piece and I’d like to share 3 of them here.
The first chart shows how per capita energy consumption has dropped remarkably in the United States since the 1990s, but how, not surprisingly, China’s rate is increasing.

The second chart shows car sales in the US. There was a big drop off during The Great Recession, and though sales have rebounded, they still haven’t reached their late 1990s peak. But that’s not to say that they won’t.

And the third chart shows the tremendous shift in the US over the last 65 years from the consumption of stuff to services.

This last one is fascinating. And it ties into the argument that the way value is created in our economy has shifted dramatically.
But I wonder if this change is really as sharp as it seems.
If you look at what makes up “services”, you’ll see that housing (and utilities) and healthcare make up over 50% of what is considered to be personal spending on services. And if you look at housing and utilities spending since the 1960s in the US, it has increased dramatically.

So how much of this shift from stuff-to-services is actually being driven by housing?
Over the past few months on this blog, I’ve started to introduce business terms into the way I describe and talk about cities. I’ve referred to residents and visitors as customers of a city, experiences within a city as products and services, and cities themselves as businesses. Until now though, I hadn’t explicitly talked about this parallel or fleshed it out in any sort of detail. But I think it’s an interesting one so I’d like to do a bit of that today.
The reason I started referencing cities with business terms is because I think it speaks to 3 important characteristics of cities. First, cities, just like businesses, are in direct competition with each other. We rank cities. We compare GDP per capita. And they fight, or at least should, to attract the best people and to achieve economic dominance.
Second, city prosperity can be ephemeral. We tend to think of cities as being quite permanent–centuries old–but history is littered with failed cities or cities that simply lost their economic importance (see Detroit). Consider this: The center of trade at one point was the Mediterranean Sea. Then, as the New World emerged, it shifted to the Atlantic. And now, one might argue that it’s moving over to the Pacific (and Asia). Either way, these macro shifts push certain cities to thrive and others to decline. The time horizon is longer than, say the rise and fall of Blackberry, but it’s similar nonetheless. Nothing is guaranteed.
Third, cities have become centers of lifestyle and consumption. That’s why I previously argued that any economic development strategy should consider lifestyle, and whether or not people actually want to live in the place. In business terms, you need to offer products and services that people actually want. You need to respond to customer needs.
And if you think of cities in this way, I think you’ll come to the conclusion that, just like businesses, strong cities require strong leadership and management. They need to ensure that they’re delivering the right products and services to their customers and that they’re staying ahead of the innovation curve.
The switching costs may be higher for cities compared to, again, something like a mobile phone, but that doesn’t mean people won’t eventually vote with their feet and leave for somewhere better.