Public transport. As an example, just the tram network had 57 million trips in 2019. The metro, 90+ million trips annually. The commuter rail network? 70+ million. (Source: wikipedia)
So yes. Urban planning has a hand or two in it.
Public transport. As an example, just the tram network had 57 million trips in 2019. The metro, 90+ million trips annually. The commuter rail network? 70+ million. (Source: wikipedia)
So yes. Urban planning has a hand or two in it.
How pupils in Helsinki get to school: Car: 7% ; PublicTransport: 32% ; Walk: 45% ; Bike: 14%
source: https://www.hel.fi/static/liitteet/kaupunkiymparisto/julkais...
Here in San Francisco (and much of California), things are incredibly complicated.
Take this example: in SF, there’s a policy that prevents kids from attending elementary school in their own neighborhoods. Instead, they’re assigned to schools on the opposite side of town. In places that are practically inaccessible without a car. And there are no school buses.
Changing that policy has proven nearly impossible. But if kids could actually attend local schools, biking or walking would be realistic options. That one shift alone could make a huge difference in reducing car dependence.
[1] https://drive.google.com/file/d/1WxAVUXfKCdhSlFa8rYZqTBC-Zmz...
[2] https://www.sfusd.edu/schools/enroll/student-assignment-poli...
But in practice, it backfired. Most families in the Sunset opted out: either by enrolling their children in private schools or moving out of city. The policy didn’t create meaningful integration; it just hollowed out neighborhood public schools and made traffic worse.
A striking example: St. Ignatius Catholic school located on Sunset Boulevard is now undergoing a $200 million campus expansion, while SFUSD is closing public schools due to declining enrollment.
It's true systematic research on public interventions has historically been valued highly. The Campbell collaboration, Cochrane's sister project dedicated to public policy interventions, is based in Oslo.
But when some politicians wanted to praise and fund "centers of scientific excellence", it overwhelmingly went to the sort of high prestige research you'd expect, like neuroscience and AI. Politicians don't like being told what to do. Especially when the policies with scientific support from controlled studies are unpopular, as they often are (arguably, the study of public interventions against high alcohol consumption was how the Nordic's love of controlled studies in public policy came from).
Even uncontroversial things are decaying. Professor Dan Olweus, through controlled interventions, developed an intervention against bullying in schools in the late eighties. He pushed hard to get them implemented, and pushed back hard against "vibe coded" antisocial behavior prevention programs that didn't have experimental evidence. Bullying went down. But he died in 2020, and guess what, bullying is up again. Keeping government social interventions on the evidence-based path is constant, thankless work.
It is frustrating to see this happen when —while it would be more expensive— they could’ve dealt with that by just
There are demographics and individuals who work hard to bring these net negative boondoggles into reality and they ought to take blame.
Could you explain this policy a little more, or provide some references? I see SFUSD does some sort of matchmaking algorithm for enrollment, so what happens if you select the five (or however many) closest elementary schools? I can imagine a couple reasons why they would institute such a policy, but I’m having trouble finding documentation.
I think in 2027, SFUSD might be transitioning to an elementary zone-based assignment system. I’m not anymore involved in that but I can tell that is a very very politically charged. Very ugly. All they did it make website more confusing.
In the end, only 20% of kids ended up going to their neighborhood schools. [1]
[1] https://www.sfchronicle.com/opinion/openforum/article/sf-sch...
> Students applying for a SFUSD schools submit a preferred or ranked list of choices. If there are no space limitations, students are assigned to their highest ranked choice.
and also:
> Due to space limitations, not all students will be assigned to one of their choices. Those students will be assigned to a school with available seats closest to the student’s home.
So it seems like proximity does play a role?
Test Score Area (CTIP1) Students who live in areas of the city with the lowest average test scores.
Which will tend to fill good schools in good areas from kids in areas with bad schools. After that they look at proximity, but most or all spaces will have been filled.
Attendance Area Elementary school students who live in the attendance area of the elementary school requested
It effectively means a lot of neighborhood swapping, and driving kids to schools.
https://web.archive.org/web/20210204205328/https://www.sfusd...
Which, it should be noted, has not at all solved the problem. Shockingly.
thats a solid reason to leave the place already
Things which are practical and economically feasible within the established system are much less liable to be controversial or end up DOA after having to survive through 3-4 different political administrations.