This is not quite a spherical cow and there is something to be learned here, but really, I'd like to see this with
- non-square-grid cities with highways, public transport, …
- realistic synthetic populations doing non-random destination selection (nobody randomly goes to a supermarket at the other end of a city, after all)
- actual traffic simulation with jams (or at least using real traffic data)
and then evaluate both the energy use and travel times. That being said, doing this kind of thing, e.g. with ActivitySim, even for one real city, is quite a bit of work.
The reality is a lot depends on your economy. A manufacturing and port city will necessarily be very different urban form to a white collar office job city or a beach/lifestyle city full of remote workers. An egalitarian city will be very different from a socially segregated city. Etc.
Cities are also never perfectly efficient because they are always evolving in function and use
You can look at small parts of it there. And sometimes you can't even buy what you're looking at, GMaps API won't hand out public transport trips in some countries. And where you can, it's fairly expensive. (No idea about traffic or people movement data.)
I think an unplanned city or town that isnt a grid is the best. Grid lines become boring very quickly because they are repetitive without any interesting parks or places that are different to stop and look at. If everything is the same its probably has the same busy roads with little or no trees or shade for a hot day.
This was an interesting tangential read. Fascinating to read about the first Sim City games and the assumptions/calculations it made in scoring. https://news.ycombinator.com/item?id=49476193
Isnt it that Singapore is "the greenest city" in the world? And since the started late to urbanize, the design of the city & districts was led by a "scientific approach", regarding air circulation etc., IIRC?
Cities Skylines is not a game that rewards strategy, because of how it works it is primarily about defending against and exploiting the simulation's deficiencies
It's definitely a drag battling cars most of the time. The path optimisation that forces them to all choose 1 lane when 3 lanes are available and go to the same direction is so annoying.
I would like a better alternative but eh, it's just spare time fun thing
I've been working on such an alternative for about 9 months now :) Here's a peek of one of the utilities for evaluating the building gen and a very small slice of the (~DOT compliant) roads, I'm still messing with the clouds https://i.imgur.com/gtmdj4D.png
I was going to dismiss this and then I read the whole abstract and that is, pretty much what it says. Oh but I guess it also says they came up with a model for how far apart things are determining how far you have to travel to get there
But there was an article or map or something talking about the placement of towns, I think, back east (or the south, or Virginia).
Simply, the towns were placed within a days travel of each other. And the communities they served were, effectively, about a 1/3rd days travel in radius. That's how far folks would go to get into town, and being a day apart facilitated long range travel instead of camping in the wilderness.
The towns were basically small towns designed to serve those local communities. Cities formed on the intersections of such roads to support more trade and traffic.
I don't recall if it talked about towns along rivers where transit might be faster.
But it was an interesting article with a map of actual towns.
- non-square-grid cities with highways, public transport, …
- realistic synthetic populations doing non-random destination selection (nobody randomly goes to a supermarket at the other end of a city, after all)
- actual traffic simulation with jams (or at least using real traffic data)
and then evaluate both the energy use and travel times. That being said, doing this kind of thing, e.g. with ActivitySim, even for one real city, is quite a bit of work.