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.
I rediscovered the maps and work of Alasdair Rae this morning. (He has appeared on this blog before in posts like this one here.) Alasdair works in the Department of Urban Studies and Planning at the University of Sheffield and is author of the blog, Stats, Maps n Pix. Recently, he’s been publishing maps showing population densities around the world. He also gets into the details of how they’re made. They are pretty cool to see.
Here are the Great Lakes.
a little bit more mopping up of this thread, just to share a few final outputs – first up is a map of the eastern Great Lakes, this time with some labels – I didn't add labels to any of the others but I may do in future pic.twitter.com/TfjAvF08CQ
And here is Brazil, as well as a map of the world (without any land shown). Canada and the United States barely register on this second one.
and, as a little experiment, I did one with just spikes – no land. I think this makes it easier to see some places – e.g. check out New Zealand or Hawaii, or even Reykjavík if you look closely. pic.twitter.com/qKxSLd120i
Nicole Gelinas’ recent piece in CityLab is a good reminder that — despite all of the debates around COVID-19 and urban density — New York City is actually a really healthy place to live. Part of this obviously has to do with the city’s investments in public health. But the biggest factor, Nicole argues, is the city’s transit network. Six million people move around New York City each day without a car. That translates into a meaningfully lower traffic fatality rate. New York State’s rate is about 4.8 per 100,000, whereas Florida’s is 14.7 deaths per 100,000. Taking transit (and having an urban morphology that supports taking transit) also brings along with it other benefits, such as increased walking. And I have to believe that is an important factor. The obesity rate in New York City is thought to be about 22%, compared to a shocking 42% for the country. All of this rolls up into a life expectancy of about 81.2 years for New Yorkers, as of 2017. This is compared to 78.6 years for the US as a whole.
The MIT Senseable City Lab recently asked: How does urban morphology affect the solar potential of cities? If you assume that transparent photovoltaic cells are on the way and that building facades are soon going to become a place where we generate solar energy, then this is actually a pretty interesting question. Are some built environments naturally better suited than others?
To answer this question, they looked at the “urban surfaces” of ten cities, including New York, Singapore, Toronto (pictured above), Hong Kong, Paris, as well as others. These surfaces included roofs, facades, and ground planes.
What they, not surprisingly, discovered is that you need a lot of exposed facades to get the numbers up. And so the cities that come out on top in terms of annual solar irradiation are cities like New York and Singapore. They have a lot of tall buildings, but they also fluctuate in height, giving greater exposure to the facades.
All of this is potentially relevant because — if building facades become a big deal for solar — it could start to inform how we plan our cities. In fact, I would go so far as to bet that, over the long-term, solar energy will have a greater impact on urban morphologies than this current pandemic.
The Penn Institute for Urban Research has just launched a new initiative called, Cities and Contagion: Lessons from COVID-19. The inaugural piece is a special edition of its Urban Link publication. But going forward, the initiative is planned to include not only publications, but a resource library, convenings (online and offline, when appropriate), and research projects. The objective is to bring together experts from different disciplines to discuss the impacts of this pandemic on cities, as well as the possible responses going forward. You can find the first set of articles, here. Some of the contributions include, “Agglomeration economies are not going away” (Jessie Handbury) and, “There’s no substitute for cities” (Richard Voith and Susan Wachter). The titles alone should give you a taste of what you can expect from this first publication.
Above is a chart from Moovit showing usage from January 15, 2020 to April 12, 2020, for a collection of US cities including San Francisco, Chicago, New York, Philadelphia, Seattle, and others. Early March is when usage started to really fall off, with most of the cities now sitting somewhere around 70-75% below January levels.
For the most part, the cities included in this chart have followed a similar trajectory. But there are a couple of outliers. Philadelphia doesn’t seem to have fallen quite as much as other major US cities (-55.7% as of April 12, 2020). I’m not sure why. San Francisco looks to have “corrected” a lot faster. Perhaps because of an easier/quicker shift to working from home? And then there’s Seattle.
The first confirmed US case of COVID-19 occurred in the Seattle area on January 21, 2020. Looking at the above chart (and implying causation), that single case appears to have had an immediate impact on transit usage. Over the subsequent three days, ridership dropped to -4%, -8.3% and then to -9.1%. Usage then remained consistently lower relative to all of the other cities in this index.
Was that it? Did Seattleite’s behaviors really change that quickly? (And yes, I did have to look up the demonym for the fine people of Seattle.)
One of Alphabet’s moonshot projects is an autonomous delivery drone service called Wing. As far as I can tell, they’re only company offering this kind of service to the general public in North America — though they are only operating in a few test locations in Virginia, Finland, and Australia.
Specifically:
Canberra, Australia
Logan, Australia
Helsinki, Finland
Christiansburg, United States
Not surprisingly, demand for Wing deliveries has surged during this pandemic. According to the Verge, the company made over 1,000 deliveries in the past two weeks, which represents a doubling of deliveries in the US and Australia. The most popular items seem to be essentials like toilet paper and coffee.
This is perhaps a good example of the argument that COVID-19 isn’t going to change things per se, it will simply accelerate the adoption of things that were already in the process of happening. I was and am of the opinion that drones will become an integral part of delivery logistics. (Full disclosure: I own a bit of Alphabet and Drone Delivery Canada stock.)
There is still a lot that will need to happen. Alphabet/Wing is also working on an autonomous traffic management platform, because you obviously need something robust if you’re going to scale this up. How you make this work in dense urban environments is also a whole other kettle of fish, though already people are starting to reconsider how rooftops are used.
This week it was announced that Foursquare and Factual are planning to merge. Both use location data to improve advertising and overall business intelligence. But unlike Foursquare, Factual doesn’t have a consumer-facing app. So most of us probably haven’t heard of them before. But they are some of the data and tech behind many of the companies that we do all know, including Starbucks.
I have long been fascinated by location-based startups — like Foursquare — because they are inherently spatial. And how we move about our cities and spaces is rich with information. Companies want this data because, among other things, it is a register of intent. Me going somewhere signals certain things, including where else my kind might want to go.
But location data can also be used for many other things beyond advertising and retail analytics. Foursquare has started sharing aggregated and anonymized foot traffic data with local governments and public health officials in the fight against COVID-19. That data is currently powering http://www.visitdata.org. Foursquare is also publishing a regular insights report.
Here is a chart from them showing casino visits in Clark County since March 1:
In many ways this chart is fairly obvious. In fact, it actually mirrors my own journey into isolation. After the NBA shutdown on Wednesday, March 11, things started to feel pretty real and on Friday I was working from home. But there’s a lot more that can be done with location data and there’s a lot more that will be done going forward. I am confident that will help not only business, but also society more broadly.
There’s a lot of speculation (that’s all you can really do) about what our world is going to look like on the other side of this pandemic.
I think it’s easy to overreach at a time like this and prognosticate dramatic change — such as the demise of cities and urbanity as we know it. But while I do believe that there are bound to be changes, I also know that after 9/11 most of us eventually stopped being afraid of flying and of being in tall buildings. We forgot and moved on.
So, what might change?
Scott Galloway argued on his blog today that “things won’t change as much as they will accelerate.” In other words, this pandemic is simply going to make the future happen faster. And one of those things is going to be a faster shift to online for higher education. It is untenable for education costs to continue increasing at the pace that they have been.
In this recent Intelligencer interview with Chamath Palihapitiya, he puts forward the idea that medical data might start to be used publicly. Meaning that, after this is all done, we might be willing to give up a certain amount of our personal freedom in exchange for knowing whether we’re in a restaurant with someone who is shedding a communicable disease.
And finally, Richard Florida recently published this online talk about how cities can bounce back from COVID-19. In it, he argues that, yes, cities will survive and that it could actually reinforce the “winner-take-all urbanism” that we have already been seeing.
This, of course, is really just the start of the conversation.
One of the things that Bill Gates mentions in his recent TED talk about the coronavirus is that we need to be aware of what might be coming in developing countries, particularly in the southern hemisphere with winter about to arrive. (There’s some evidence of a relationship with temperature.)
So far, countries like Brazil have been criticized for taking a laid-back approach to fighting the coronavirus. But the same could be said for many, or perhaps most, countries around the world at the outset.
However, in the case of densely populated slums — like Brazil’s favelas — the problem is expected to be more severe. Without the ability to socially isolate and without proper services, it is questionable whether they will be able to “flatten the curve” in the same way that some developed countries have. There’s also a lack of government oversight in these communities.
Incidentally, the Financial Times is reporting that organized crime has started to step in to fill this void — and it is happening over WhatsApp. Here is an excerpt from the above article: “Whoever is caught on the street will learn how to respect the measure. We want the best for the population. If the government is unable to manage, organised crime resolves,” read one message sent to residents of a Rio de Janeiro slum.
One hope is that rich countries will be largely through their outbreaks by the summer and that a vaccine will be well on its way.
The Financial Times has some of the best charts/graphics that I have seen on the coronavirus and its impact. They’re also free and regularly updated. Below is the cumulative number of deaths, by number of days since the 10th death (last updated March 23 at 21:00 GMT). I prefer this to the number of cases because it is more precise, though impacted by things like demographics. The number of cases is impacted by how good you are at testing. Some countries have been far better than others. And what we are continuing to learn is that lots of people were and are completely asymptomatic.
Seeing China (and Iran?) continue to flatten out is encouraging. (Note the logarithmic scale.)
Here has been the impact to the Chinese economy. It’s slowing coming back.
And here are traffic volumes around the world. This chart was published on Sunday, March 22. At that time, Tokyo looked to be largely business as usual.
