Today was a historic day for Toronto, for Canada, and for the game of basketball in this country. The Toronto Raptors are world champions for the first time since their founding in 1995. Soak it in. Here is a photo that I took of the parade coming through the Financial District at around 2:30pm:
Some of the estimates going around are that 1 to 2 million people attended today's championship parade. But 2 million seems like a lot, even though today was frenetic (see above photo, again). I mean, that's 1/3 of the population of the Greater Toronto Area.
The fact that some of the "official" estimates also have a 1 million person spread tells me that, as of right now, we actually have no idea how many people were at today's parade.
So that got me thinking: How do people count crowds? And are we using drones to do it, yet? Subway and rail ridership for the day -- which surely spiked -- will give us some indication. But definitely not the full picture.
It turns out that the typical approach to counting crowds is known as Jacobs' Method. It was invented in the 1960s by a professor at UC, Berkeley, named Herbert Jacobs. He came up with the method while trying to count the number of students protesting the Vietnam War.
The concept is simple: It's area x density. And permutations of his method usually use this same principle. What you do is take the area filled with people, break it up into a smaller grid, and then come up with a population density estimate for each square.
He had some rules of thumb for that. A light crowd was about 1 person per 10 square feet. And a dense crowd (such as a mosh pit or an NBA championship parade in Toronto) was about 1 person per 2.5 square feet.
Using this method and aerial photos of today's parade, I would imagine that we could eventually get to a more precise estimate than 1 to 2 million people. But surely somebody has figured out how to program a drone (or other UAV) and do this even more accurately.
Crowd data is valuable information, particularly for political rallies and protests (I would imagine). If you know of a company doing this, please leave it in the comment section below. And if it doesn't yet exist, well then, now you have a new business idea.
San Francisco-based Helium launched a new wireless communication standard today that it is calling "LongFi." It has 200x the range of WiFi and operates at 1/1000th the cost of a cellar modem. It is perfectly suited to IoT (Internet of Things) devices, such as the electric scooters that are proliferating across our cities. Helium's goal is to build out the "world's first peer-to-peer wireless network."
What's potentially very exciting about this technology is that it represents decentralized network infrastructure. Anyone can install a Helium Hotspot in their home (to grow the network). And if you do that, you'll be rewarded with tokens, which, in theory, will have some value going forward. Another way to think of a Helium Hotspot is as "the equivalent of bitcoin mining for network infrastructure."
Put yet another way, it's a new kind of wireless protocol and an entirely new business model -- which is often how startups end up beating entrenched incumbents. Here is a short description from Union Square Ventures (an investor in the company) on how the Helium network will work:
Hotspots, the backbone of the Helium network, can be deployed by anyone, anywhere, simply by plugging into an existing router. The Helium network will be assembled, over time, by a broad community of volunteers, civic organizations, commercial partners, and ideally a new class of entrepreneurs building out connectivity in new cities and towns.
Economic activity in the Helium network is coordinated through a new type of blockchain that uses “proof of coverage” (proving that a Hotspot is actually located in physical space) to secure the network and incentivize deployment where it is needed most. We believe that the Helium network has the potential to become one of the most decentralized blockchain networks in existence, due to physical location as the underpinning of the economic and security model.
This is a good example of the potential of the blockchain technology. We are still waiting for mainstream consumer applications to be built on top of it, but many people within the industry believe we're only a few years out from that. I'm going to try out a Helium Hotspot as soon as they're available in Toronto.
Images: Helium
Last week I went for a tour of Sidewalk Labs' "307" workshop here in Toronto. In it they have a generative urban design tool that allows you to toggle things like density, building shape, building height, the amount of green space, the distribution of green space, and so on.
Perhaps some of you have seen it or used it before. The controls look like this:
Today was a historic day for Toronto, for Canada, and for the game of basketball in this country. The Toronto Raptors are world champions for the first time since their founding in 1995. Soak it in. Here is a photo that I took of the parade coming through the Financial District at around 2:30pm:
Some of the estimates going around are that 1 to 2 million people attended today's championship parade. But 2 million seems like a lot, even though today was frenetic (see above photo, again). I mean, that's 1/3 of the population of the Greater Toronto Area.
The fact that some of the "official" estimates also have a 1 million person spread tells me that, as of right now, we actually have no idea how many people were at today's parade.
So that got me thinking: How do people count crowds? And are we using drones to do it, yet? Subway and rail ridership for the day -- which surely spiked -- will give us some indication. But definitely not the full picture.
It turns out that the typical approach to counting crowds is known as Jacobs' Method. It was invented in the 1960s by a professor at UC, Berkeley, named Herbert Jacobs. He came up with the method while trying to count the number of students protesting the Vietnam War.
The concept is simple: It's area x density. And permutations of his method usually use this same principle. What you do is take the area filled with people, break it up into a smaller grid, and then come up with a population density estimate for each square.
He had some rules of thumb for that. A light crowd was about 1 person per 10 square feet. And a dense crowd (such as a mosh pit or an NBA championship parade in Toronto) was about 1 person per 2.5 square feet.
Using this method and aerial photos of today's parade, I would imagine that we could eventually get to a more precise estimate than 1 to 2 million people. But surely somebody has figured out how to program a drone (or other UAV) and do this even more accurately.
Crowd data is valuable information, particularly for political rallies and protests (I would imagine). If you know of a company doing this, please leave it in the comment section below. And if it doesn't yet exist, well then, now you have a new business idea.
San Francisco-based Helium launched a new wireless communication standard today that it is calling "LongFi." It has 200x the range of WiFi and operates at 1/1000th the cost of a cellar modem. It is perfectly suited to IoT (Internet of Things) devices, such as the electric scooters that are proliferating across our cities. Helium's goal is to build out the "world's first peer-to-peer wireless network."
What's potentially very exciting about this technology is that it represents decentralized network infrastructure. Anyone can install a Helium Hotspot in their home (to grow the network). And if you do that, you'll be rewarded with tokens, which, in theory, will have some value going forward. Another way to think of a Helium Hotspot is as "the equivalent of bitcoin mining for network infrastructure."
Put yet another way, it's a new kind of wireless protocol and an entirely new business model -- which is often how startups end up beating entrenched incumbents. Here is a short description from Union Square Ventures (an investor in the company) on how the Helium network will work:
Hotspots, the backbone of the Helium network, can be deployed by anyone, anywhere, simply by plugging into an existing router. The Helium network will be assembled, over time, by a broad community of volunteers, civic organizations, commercial partners, and ideally a new class of entrepreneurs building out connectivity in new cities and towns.
Economic activity in the Helium network is coordinated through a new type of blockchain that uses “proof of coverage” (proving that a Hotspot is actually located in physical space) to secure the network and incentivize deployment where it is needed most. We believe that the Helium network has the potential to become one of the most decentralized blockchain networks in existence, due to physical location as the underpinning of the economic and security model.
This is a good example of the potential of the blockchain technology. We are still waiting for mainstream consumer applications to be built on top of it, but many people within the industry believe we're only a few years out from that. I'm going to try out a Helium Hotspot as soon as they're available in Toronto.
Images: Helium
Last week I went for a tour of Sidewalk Labs' "307" workshop here in Toronto. In it they have a generative urban design tool that allows you to toggle things like density, building shape, building height, the amount of green space, the distribution of green space, and so on.
Perhaps some of you have seen it or used it before. The controls look like this:
After you're done playing around with the dials, you are then able to provide feedback on the design that you've birthed through two very simple feedback buttons. One is a happy face. And the other is a sad face. (I wonder if the placement of these two buttons has any impact on responses.)
What I like about this tool is that it immediately imposes a certain degree of reality and it forces you, the participant, to acknowledge the various trade-offs that need to be considered when you're designing and planning a city.
For example, if you want lots of parks and public spaces, but you want to hold population density constant -- perhaps because you're trying to make use of an investment made in transit infrastructure -- well then you'll need to accept taller buildings.
A very similar thought process goes into each and every development pro forma as we all try and manage the myriad of competing interests. But I guess this is also true of life in general. There are gives and there are takes.
After you're done playing around with the dials, you are then able to provide feedback on the design that you've birthed through two very simple feedback buttons. One is a happy face. And the other is a sad face. (I wonder if the placement of these two buttons has any impact on responses.)
What I like about this tool is that it immediately imposes a certain degree of reality and it forces you, the participant, to acknowledge the various trade-offs that need to be considered when you're designing and planning a city.
For example, if you want lots of parks and public spaces, but you want to hold population density constant -- perhaps because you're trying to make use of an investment made in transit infrastructure -- well then you'll need to accept taller buildings.
A very similar thought process goes into each and every development pro forma as we all try and manage the myriad of competing interests. But I guess this is also true of life in general. There are gives and there are takes.
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