A few weeks ago, my wife told me about an app called Yuka. What it does is scan the barcodes of food products and cosmetics and then give you a health rating out of 100. You can also drill deeper if you'd like to better understand why a particular food item is healthy — or not healthy.
Since then, a few things have happened:
I've told as many people as possible about it. (I have my parents scanning at the grocery store.)
Grocery shopping takes a lot longer. (I have a colleague who has been mistaken for a store employee while using the app.)
We've made meaningful changes to the food we buy.
And it's not like we weren't trying to shop healthy before.
It works a lot like France's Nutri-Score, except you have to do a bit more work. As soon as I see a low score, I no longer want the product and I move on to an alternative or I eschew it altogether. I can only imagine the positive impact that an app like this will have on our health and on the broader food landscape as our individual decisions compound over time.
A few weeks ago, my wife told me about an app called Yuka. What it does is scan the barcodes of food products and cosmetics and then give you a health rating out of 100. You can also drill deeper if you'd like to better understand why a particular food item is healthy — or not healthy.
Since then, a few things have happened:
I've told as many people as possible about it. (I have my parents scanning at the grocery store.)
Grocery shopping takes a lot longer. (I have a colleague who has been mistaken for a store employee while using the app.)
We've made meaningful changes to the food we buy.
And it's not like we weren't trying to shop healthy before.
It works a lot like France's Nutri-Score, except you have to do a bit more work. As soon as I see a low score, I no longer want the product and I move on to an alternative or I eschew it altogether. I can only imagine the positive impact that an app like this will have on our health and on the broader food landscape as our individual decisions compound over time.
It also feels like a perfect use case for augmented reality and spatial computing. Right now, I have to juggle my phone in one hand and a basket in the other. But imagine a world where I can just pick up a package of Reese's Peanut Butter Cups and my glasses will automatically tell me they're a 0/100. That world is coming.
If you care about the food you put into your body, I would highly recommend downloading Yuka on your phone. Ignorance is bliss until you're no longer ignorant.
Cycling is good for you. This much is obvious. But what might be some of the lesser known benefits?
Here's a fascinating study (that I discovered through Lloyd Alter's blog), which looked at the association between active travel modes and brain health — specifically dementia risk. For this study, the researchers analyzed nearly 500,000 people in the UK and then tracked them for a median period of 13.1 years. How people got around was classified according to the following groups: non-active (like driving or taking public transit), walking only, mixed-walking, and cycling and mixed-cycling. This latter category is meant to capture people who cycle exclusively and who mix it with other forms of mobility.
Based on this, the researchers uncovered these cycling benefits compared to non-active travel:
19% reduction in all-cause dementia
22% reduction in Alzheimer's disease
40% reduction in young-onset dementia
17% reduction in late-onset dementia
Cycling was by far the best performing category. Why is that? Well, exercise in general is good for brain health. It increases blood flow and oxygenation to the brain, decreases cortisol levels (stress hormone), and reduces anxiety and depression, among many other beneficial things. But perhaps the most important feature for this particular discussion is that it's simultaneously a physical and cognitive activity. In other words, it's exercise, but your brain also has to do a lot of other stuff like balance the bike, avoid obstacles (such as car doors being flung open), and generally navigate an environment with many stimuli.
Yesterday morning I went cycling in High Park to try and condition myself for the Bike for Brain Health ride that I have coming up. The Park is such an incredible amenity and I love being so close to it. Of course, before I set out, I turned on my Apple Watch and Garmin computer so that I could track it all in Strava. This has become such a big part of cycling (and working out in general). We're all data obsessed. Everyone wants to track their route, their speed, their heart rate, and whatever else.
The result is that Strava collects mountains of data about the way people actively move about in cities — data on everything from cycling to backcountry skiing. Some of this aggregated/anonymized data is available to the public via their global heatmap, but much more of it is available to urban planners and active transportation groups around the world. In fact, this is part of what Strava does: they help city builders. Here are some urban case studies spanning Rio de Janeiro to Park City.
Looking at central Toronto, our heatmap looks like this:
It also feels like a perfect use case for augmented reality and spatial computing. Right now, I have to juggle my phone in one hand and a basket in the other. But imagine a world where I can just pick up a package of Reese's Peanut Butter Cups and my glasses will automatically tell me they're a 0/100. That world is coming.
If you care about the food you put into your body, I would highly recommend downloading Yuka on your phone. Ignorance is bliss until you're no longer ignorant.
Cycling is good for you. This much is obvious. But what might be some of the lesser known benefits?
Here's a fascinating study (that I discovered through Lloyd Alter's blog), which looked at the association between active travel modes and brain health — specifically dementia risk. For this study, the researchers analyzed nearly 500,000 people in the UK and then tracked them for a median period of 13.1 years. How people got around was classified according to the following groups: non-active (like driving or taking public transit), walking only, mixed-walking, and cycling and mixed-cycling. This latter category is meant to capture people who cycle exclusively and who mix it with other forms of mobility.
Based on this, the researchers uncovered these cycling benefits compared to non-active travel:
19% reduction in all-cause dementia
22% reduction in Alzheimer's disease
40% reduction in young-onset dementia
17% reduction in late-onset dementia
Cycling was by far the best performing category. Why is that? Well, exercise in general is good for brain health. It increases blood flow and oxygenation to the brain, decreases cortisol levels (stress hormone), and reduces anxiety and depression, among many other beneficial things. But perhaps the most important feature for this particular discussion is that it's simultaneously a physical and cognitive activity. In other words, it's exercise, but your brain also has to do a lot of other stuff like balance the bike, avoid obstacles (such as car doors being flung open), and generally navigate an environment with many stimuli.
Yesterday morning I went cycling in High Park to try and condition myself for the Bike for Brain Health ride that I have coming up. The Park is such an incredible amenity and I love being so close to it. Of course, before I set out, I turned on my Apple Watch and Garmin computer so that I could track it all in Strava. This has become such a big part of cycling (and working out in general). We're all data obsessed. Everyone wants to track their route, their speed, their heart rate, and whatever else.
The result is that Strava collects mountains of data about the way people actively move about in cities — data on everything from cycling to backcountry skiing. Some of this aggregated/anonymized data is available to the public via their global heatmap, but much more of it is available to urban planners and active transportation groups around the world. In fact, this is part of what Strava does: they help city builders. Here are some urban case studies spanning Rio de Janeiro to Park City.
Looking at central Toronto, our heatmap looks like this:
biking for brain health
. And it reinforces the case that bike lanes are actually one part mobility infrastructure and one part public health initiative.
What is immediately noticeable is that cyclists will go where they feel safe. And that generally means streets with dedicated bike lanes. Looking at the above map, you can see that some of the most popular north-south routes are Shaw Street, Beverley Street/St. George Street, and Sherbourne Street. All of these streets have dedicated bike lanes. In the east-west direction, it's also clear that Bloor Street and Danforth Avenue form a hugely important crosstown artery. It is widely used from Etobicoke all the way to Scarborough.
At the same time, these maps start to show where there are broken links in the network. Annette Street and a portion of Dupont Street are, for example, widely used until you get east of the Junction Triangle. Then it falls off. This is unsurprising because it's a stretch of Dupont that isn't very friendly to cyclists. I know I certainly try and avoid it. Instead, we see that cyclists seem to be shifting northward to Davenport, which has a nice bike lane.
This is just one example, and I'm sure there's a lot of other takeaways that can be gleaned from Strava's data. So if you're a city builder and you aren't already leveraging this dataset, you may want to consider applying for a Metro Partnership. I'll be sure to continue doing my part and feeding it data about my laps in High Park and my stops for burgers and croissant sandwiches.
biking for brain health
. And it reinforces the case that bike lanes are actually one part mobility infrastructure and one part public health initiative.
What is immediately noticeable is that cyclists will go where they feel safe. And that generally means streets with dedicated bike lanes. Looking at the above map, you can see that some of the most popular north-south routes are Shaw Street, Beverley Street/St. George Street, and Sherbourne Street. All of these streets have dedicated bike lanes. In the east-west direction, it's also clear that Bloor Street and Danforth Avenue form a hugely important crosstown artery. It is widely used from Etobicoke all the way to Scarborough.
At the same time, these maps start to show where there are broken links in the network. Annette Street and a portion of Dupont Street are, for example, widely used until you get east of the Junction Triangle. Then it falls off. This is unsurprising because it's a stretch of Dupont that isn't very friendly to cyclists. I know I certainly try and avoid it. Instead, we see that cyclists seem to be shifting northward to Davenport, which has a nice bike lane.
This is just one example, and I'm sure there's a lot of other takeaways that can be gleaned from Strava's data. So if you're a city builder and you aren't already leveraging this dataset, you may want to consider applying for a Metro Partnership. I'll be sure to continue doing my part and feeding it data about my laps in High Park and my stops for burgers and croissant sandwiches.
