This won't come as a surprise to many of you. But I recently attended a community meeting where someone was advocating for adding new lanes to a particular road. Their argument was that traffic congestion is forcing too many cars to sit needlessly idle and that that is bad for the environment. The proposed solution of adding new lanes would get traffic moving, reduce idling pollution, and therefore be overall better for the environment.
I disagree entirely.
But transportation planning seems to be one of those things that many people feel is intuitive. It's one of those things where people feel confident saying, "I know how to fix this. We just need to do this." But the reality is that cities are incredibly complex organisms and it's not always obvious what should be done. So I think that a big part of making our cities better comes down to having much better data. And that's why I'm very intrigued by the work that startup Viva, and others, are doing.
Viva uses small street-light mounted cameras and machine learning to track urban mobility (see image above). Currently they track 9 different modes: pedestrian, bicycle, e-scooter, motorcycle, car, van, light truck, semi-truck, and bus. And after they collect this data, the relevant information is extracted and then everything else is deleted for privacy reasons. There are also plans to make this data openly available to the public so that people can use it and/or build on top of it.
Obviously this is still going to raise privacy concerns and that is something that will need to be carefully addressed. But I do think that the data from a platform like this is going to be invaluable for cities. Among many other things, it will help us to better allocate space among the various modes and design much safer streets. Hopefully it can also help to take some of the politics out of these sorts of decisions: "Here's the data. Take a look."
Viva currently has 1,000 sensors already installed in London (where they are being used to evaluate the impacts of congestion pricing), and about half a dozen in New York. So it'll be interesting to see what this leads to. And who knows, maybe it will actually turn us all into amateur transportation planners. We'll certainly have access to a lot more data.
For more information on Viva, here's their website.
Image: Viva
Toronto has a lot more CCTV cameras than I would have thought.
According to this (2022?) data from Comparitech, there is estimated to be about 19,236 cameras installed around the Greater Toronto Area. With a population of around 6.31 million people, this translates into a per capita rate of 3.05 (CCTV cameras per 1,000 people). What this means is that there is almost surely footage of me enjoying a late-night shawarma sandwich after the bar somewhere on the streets of Toronto.
In some ways, this is a high number of cameras. Tokyo, which is usually considered to be the largest metro area in the world with nearly 40 million people, only has 1.06 cameras per 1,000 people. Dhaka is 0.71. Sao Paulo is 1.04. Osaka is 1.57. And Montreal is 1.03. Though to be totally fair here, Rio de Janeiro is up at 3.34 (and it may be the most dangerous city mentioned in this post). Paris is 4.04. New York is 6.87. Los Angeles is 8.77. And London is 13.35.
But where things get really exciting is in authoritarian places. Moscow is estimated to have 16.85 CCTV cameras per 1,000 people. And in China as a whole, there is estimated to be roughly 540 million cameras scattered around its cities, which works out to an average of 372.8 cameras for every 1,000 people. For a city like Shanghai, this crudely equals something like 10.6 million cameras.
It turns out that surveillance is pretty important for things other than shawarma-eating videos:
Vyborov wasn’t arrested that day, but the police informed him that he was under surveillance through Sfera, one of Moscow’s face recognition systems, for participating in unsanctioned rallies. Considered one of the most efficient surveillance systems, Sfera led to the detention of 141 people last year. “Facial recognition, and video cameras in general in a totalitarian state, are an absolute evil,” Vyborov says.
Here's the other thing. Safety is usually touted as the reason to have lots of cameras. But Comparitech's data suggests that there's an almost non-existent correlation between lots of cameras and lower crime. I mean, just look at Tokyo. It is basically the model megacity, and its per capita camera rate is only 1.06. The real utility, it would seem, is using cameras and face recognition software to restrict personal freedoms.
I love what Bright Moments is doing. And Fred Wilson's post this morning -- about their latest event in Mexico City -- reminded me of that.
Bright Moments describes themselves as "an NFT art collective on a mission to create environments where artists and collectors witness the birth of generative art together."
What this means is that they are working to move the experience of NFT art away from individual computer screens toward physical events where the art can be consumed and also created (i.e. minted) in a group setting.
For a taste of what this actually means, check out their website and then hang out for a bit with their homepage video.
So far they have hosted an event in the following 5 cities: Venice Beach (okay, actually a neighborhood), New York, Berlin, London, and Mexico City. And at each stop on their tour of what will be 10 places, they have done an in-person minting of their official collection, called CryptoCitizens.
I haven't been to one of them, but I can see how it would be a lot of fun and how it might change your perception of NFTs. So I am hoping that for one of their last 4 stops (the first stop was in the "Galaxy"), they'll come to Toronto. Ethereum was pretty much created in this city, so I think it only makes sense for there to be Toronto CryptoCitizens.
If you too would like to see this happen, make sure you tweet at Bright Moments and tell them that they should come to the greatest city in the world.
This won't come as a surprise to many of you. But I recently attended a community meeting where someone was advocating for adding new lanes to a particular road. Their argument was that traffic congestion is forcing too many cars to sit needlessly idle and that that is bad for the environment. The proposed solution of adding new lanes would get traffic moving, reduce idling pollution, and therefore be overall better for the environment.
I disagree entirely.
But transportation planning seems to be one of those things that many people feel is intuitive. It's one of those things where people feel confident saying, "I know how to fix this. We just need to do this." But the reality is that cities are incredibly complex organisms and it's not always obvious what should be done. So I think that a big part of making our cities better comes down to having much better data. And that's why I'm very intrigued by the work that startup Viva, and others, are doing.
Viva uses small street-light mounted cameras and machine learning to track urban mobility (see image above). Currently they track 9 different modes: pedestrian, bicycle, e-scooter, motorcycle, car, van, light truck, semi-truck, and bus. And after they collect this data, the relevant information is extracted and then everything else is deleted for privacy reasons. There are also plans to make this data openly available to the public so that people can use it and/or build on top of it.
Obviously this is still going to raise privacy concerns and that is something that will need to be carefully addressed. But I do think that the data from a platform like this is going to be invaluable for cities. Among many other things, it will help us to better allocate space among the various modes and design much safer streets. Hopefully it can also help to take some of the politics out of these sorts of decisions: "Here's the data. Take a look."
Viva currently has 1,000 sensors already installed in London (where they are being used to evaluate the impacts of congestion pricing), and about half a dozen in New York. So it'll be interesting to see what this leads to. And who knows, maybe it will actually turn us all into amateur transportation planners. We'll certainly have access to a lot more data.
For more information on Viva, here's their website.
Image: Viva
Toronto has a lot more CCTV cameras than I would have thought.
According to this (2022?) data from Comparitech, there is estimated to be about 19,236 cameras installed around the Greater Toronto Area. With a population of around 6.31 million people, this translates into a per capita rate of 3.05 (CCTV cameras per 1,000 people). What this means is that there is almost surely footage of me enjoying a late-night shawarma sandwich after the bar somewhere on the streets of Toronto.
In some ways, this is a high number of cameras. Tokyo, which is usually considered to be the largest metro area in the world with nearly 40 million people, only has 1.06 cameras per 1,000 people. Dhaka is 0.71. Sao Paulo is 1.04. Osaka is 1.57. And Montreal is 1.03. Though to be totally fair here, Rio de Janeiro is up at 3.34 (and it may be the most dangerous city mentioned in this post). Paris is 4.04. New York is 6.87. Los Angeles is 8.77. And London is 13.35.
But where things get really exciting is in authoritarian places. Moscow is estimated to have 16.85 CCTV cameras per 1,000 people. And in China as a whole, there is estimated to be roughly 540 million cameras scattered around its cities, which works out to an average of 372.8 cameras for every 1,000 people. For a city like Shanghai, this crudely equals something like 10.6 million cameras.
It turns out that surveillance is pretty important for things other than shawarma-eating videos:
Vyborov wasn’t arrested that day, but the police informed him that he was under surveillance through Sfera, one of Moscow’s face recognition systems, for participating in unsanctioned rallies. Considered one of the most efficient surveillance systems, Sfera led to the detention of 141 people last year. “Facial recognition, and video cameras in general in a totalitarian state, are an absolute evil,” Vyborov says.
Here's the other thing. Safety is usually touted as the reason to have lots of cameras. But Comparitech's data suggests that there's an almost non-existent correlation between lots of cameras and lower crime. I mean, just look at Tokyo. It is basically the model megacity, and its per capita camera rate is only 1.06. The real utility, it would seem, is using cameras and face recognition software to restrict personal freedoms.
I love what Bright Moments is doing. And Fred Wilson's post this morning -- about their latest event in Mexico City -- reminded me of that.
Bright Moments describes themselves as "an NFT art collective on a mission to create environments where artists and collectors witness the birth of generative art together."
What this means is that they are working to move the experience of NFT art away from individual computer screens toward physical events where the art can be consumed and also created (i.e. minted) in a group setting.
For a taste of what this actually means, check out their website and then hang out for a bit with their homepage video.
So far they have hosted an event in the following 5 cities: Venice Beach (okay, actually a neighborhood), New York, Berlin, London, and Mexico City. And at each stop on their tour of what will be 10 places, they have done an in-person minting of their official collection, called CryptoCitizens.
I haven't been to one of them, but I can see how it would be a lot of fun and how it might change your perception of NFTs. So I am hoping that for one of their last 4 stops (the first stop was in the "Galaxy"), they'll come to Toronto. Ethereum was pretty much created in this city, so I think it only makes sense for there to be Toronto CryptoCitizens.
If you too would like to see this happen, make sure you tweet at Bright Moments and tell them that they should come to the greatest city in the world.
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