City planners have standard methods of estimating the car traffic that a project is likely to generate, but they have no equivalent for foot traffic. Now Andres Sevtsuk, director of MIT’s City Form Lab, has published a model that could help.
The model estimates pedestrian trips along networks between common origins and destinations like homes, offices, amenities, and transit stops. To calibrate it, Sevtsuk had observers count pedestrians on 60 street segments in Cambridge’s Kendall Square (before the covid-19 pandemic) at midday and in late afternoon. This made it possible to estimate how many people are walking on all streets in the area, generating a broader picture of pedestrian flows.
The model can be applied to almost any urban setting, Sevtsuk says. “Even if we were planning a new area, just by knowing what the built configuration of the future development will be and what land uses it may contain, we can have an educated forecast about what the pedestrian flows will look like.”
Forget dating apps: Here’s how the net’s newest matchmakers help you find love
Fed up with apps, people looking for romance are finding inspiration on Twitter, TikTok—and even email newsletters.
How AI is reinventing what computers are
Three key ways artificial intelligence is changing what it means to compute.
These weird virtual creatures evolve their bodies to solve problems
They show how intelligence and body plans are closely linked—and could unlock AI for robots.
We reviewed three at-home covid tests. The results were mixed.
Over-the-counter coronavirus tests are finally available in the US. Some are more accurate and easier to use than others.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.