The New York Times is running an opinion series right now called, The America We Need. It is all about how the US might emerge from this crisis "with a fair, resilient society." This piece by Carol Galante covers many of the topics that we discuss on this blog. Carol is a former city planner and nonprofit housing developer. She is now the faculty director of the Terner Center for Housing Innovation at UC, Berkeley. Here are a couple of excerpts from her article that I think will resonate with many of you:
There are two things we know: The U.S. economy will recover. And the recovery will start in and be strongest in the same cities that were thriving before the pandemic. Economies in places like Seattle, San Francisco, New York and Boston are driven by the innovation, technology and biotech sectors, which are proving to be remarkably resilient to the impacts of Covid-19.
We have an obligation to ignore the short-term reactionary impulse to blame density for the spread of the coronavirus and instead use this opportunity to rethink the policies that impede the construction of new housing, at more price levels, in the places where housing is most needed.
The New York Times is running an opinion series right now called, The America We Need. It is all about how the US might emerge from this crisis "with a fair, resilient society." This piece by Carol Galante covers many of the topics that we discuss on this blog. Carol is a former city planner and nonprofit housing developer. She is now the faculty director of the Terner Center for Housing Innovation at UC, Berkeley. Here are a couple of excerpts from her article that I think will resonate with many of you:
There are two things we know: The U.S. economy will recover. And the recovery will start in and be strongest in the same cities that were thriving before the pandemic. Economies in places like Seattle, San Francisco, New York and Boston are driven by the innovation, technology and biotech sectors, which are proving to be remarkably resilient to the impacts of Covid-19.
We have an obligation to ignore the short-term reactionary impulse to blame density for the spread of the coronavirus and instead use this opportunity to rethink the policies that impede the construction of new housing, at more price levels, in the places where housing is most needed.
In my subsequent career as a nonprofit housing developer working in prosperous coastal California communities, I spent far too many nights in City Council meetings working to get apartment buildings for lower-income older people and families approved. Underlying the “density” battle was almost always a battle over who has access to the opportunities of a place and who doesn’t, cloaked in arguments about neighborhood character and traffic impacts.
Richard Florida is currently running a four-part CityLab series on the economic performance of America's cities. What makes this study somewhat unique is that it looks at cities proper, rather than at their larger metro areas. In some cases there may not be that much of a difference. But in other cases, the performance of the city proper could be very different from that of the broader area.
Here are the fastest and slowest growing cities from 2012 to 2017:
First launched in 2017, Uber Movement aggregates anonymized data from their ride-sharing business to create data sets and tools that can help cities make better transportation decisions.
Below is a (hex cluster) map of Toronto showing average travel times from downtown. I dropped the pin at Toronto City Hall. What is shown is the average for all days of the week during the month of January 2018.
In my subsequent career as a nonprofit housing developer working in prosperous coastal California communities, I spent far too many nights in City Council meetings working to get apartment buildings for lower-income older people and families approved. Underlying the “density” battle was almost always a battle over who has access to the opportunities of a place and who doesn’t, cloaked in arguments about neighborhood character and traffic impacts.
Richard Florida is currently running a four-part CityLab series on the economic performance of America's cities. What makes this study somewhat unique is that it looks at cities proper, rather than at their larger metro areas. In some cases there may not be that much of a difference. But in other cases, the performance of the city proper could be very different from that of the broader area.
Here are the fastest and slowest growing cities from 2012 to 2017:
First launched in 2017, Uber Movement aggregates anonymized data from their ride-sharing business to create data sets and tools that can help cities make better transportation decisions.
Below is a (hex cluster) map of Toronto showing average travel times from downtown. I dropped the pin at Toronto City Hall. What is shown is the average for all days of the week during the month of January 2018.
Here are the fastest and slowing growing job markets:
And here is the growth in share of adults with a graduate degree:
It's interesting to see Seattle at the top of the population growth list. It is not a sprawling sunbelt city. It is an expensive tech hub. And it is also interesting to see Miami's strong employment and education growth. Years ago, Paul Graham wrote an essay arguing that tech hubs have two prerequisites: capital and nerds. He went on to argue that Miami has lots of the former, but not much of the latter. Maybe that's changing.
Uber Movement's new Speeds product looks at how specific streets are performing relative to their "free-flow speed." Uber defines this as "the average speed of traffic in the absence of congestion or other adverse conditions." (The 85th percentile of all speed values.)
As of right now, Speeds is only available in 5 cities: New York City, Seattle, Cincinnati, Nairobi, and London. Here is a snapshot of London during the same time period as above, January 2018:
In comparison to what we were talking about yesterday, I have few concerns with the fact that my Uber rides around town have likely contributed to these mappings. With these use cases, the value really only emerges once you aggregate the data.
Here are the fastest and slowing growing job markets:
And here is the growth in share of adults with a graduate degree:
It's interesting to see Seattle at the top of the population growth list. It is not a sprawling sunbelt city. It is an expensive tech hub. And it is also interesting to see Miami's strong employment and education growth. Years ago, Paul Graham wrote an essay arguing that tech hubs have two prerequisites: capital and nerds. He went on to argue that Miami has lots of the former, but not much of the latter. Maybe that's changing.
Uber Movement's new Speeds product looks at how specific streets are performing relative to their "free-flow speed." Uber defines this as "the average speed of traffic in the absence of congestion or other adverse conditions." (The 85th percentile of all speed values.)
As of right now, Speeds is only available in 5 cities: New York City, Seattle, Cincinnati, Nairobi, and London. Here is a snapshot of London during the same time period as above, January 2018:
In comparison to what we were talking about yesterday, I have few concerns with the fact that my Uber rides around town have likely contributed to these mappings. With these use cases, the value really only emerges once you aggregate the data.
