Many of you have probably heard of the concept of a "digital twin." Put simply, it is a digital representation of a physical thing. This could be a thing that already exists or, in the case of a new building, it could be a thing that you're about to make exist.

But there's no reason to stop at the scale of a building. Right now, there are groups working on modeling entire cities. Sadly, in Ukraine, it is being done to document important buildings that could get destroyed. But in other places, it is being done in order to create a new kind of urban testing environment (via FT):

“In the city, you don’t have a development environment; you only have one city. The laboratory is the place where the planners go to test. So test in a digital twin and then develop or implant in the city. That’s going to be the value.”

The thinking is that if you combine a digital twin with good real-time urban data and AI, then you might actually be able to start testing new city building initiatives. For instance, maybe you could ask it: What would happen if we added a traffic lane, here? Would it actually help congestion or would it induce new demand?

It's hard to model this kind of stuff today, which is one of the reasons why there's usually fierce debate about seemingly everything. But if we had accurate models that could tell us something close to reality, that feels like it would be a game changer for city builders.

Many of you have probably heard of the concept of a "digital twin." Put simply, it is a digital representation of a physical thing. This could be a thing that already exists or, in the case of a new building, it could be a thing that you're about to make exist.

But there's no reason to stop at the scale of a building. Right now, there are groups working on modeling entire cities. Sadly, in Ukraine, it is being done to document important buildings that could get destroyed. But in other places, it is being done in order to create a new kind of urban testing environment (via FT):

“In the city, you don’t have a development environment; you only have one city. The laboratory is the place where the planners go to test. So test in a digital twin and then develop or implant in the city. That’s going to be the value.”

The thinking is that if you combine a digital twin with good real-time urban data and AI, then you might actually be able to start testing new city building initiatives. For instance, maybe you could ask it: What would happen if we added a traffic lane, here? Would it actually help congestion or would it induce new demand?

It's hard to model this kind of stuff today, which is one of the reasons why there's usually fierce debate about seemingly everything. But if we had accurate models that could tell us something close to reality, that feels like it would be a game changer for city builders.