I love this fact: average walking speed increases predictably as city size increases, roughly as N^{0.1}, where N is city population. http://www.pnas.org/content/pnas/104/17/7301.full.pdf …pic.twitter.com/LyXYH169UX
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It's fascinating to see what increases superlinearly (patents, GDP, electricity, crime, AIDS cases) and sublinearly (gas stations, road surface). And, of course, a priori it's not obvious that any of these should be functions so purely of population.pic.twitter.com/73e6PFmT1d
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City 10 times larger? People walk about 24% faster.
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Is this info from the above link? When you mention “super-linear scaling” I’m immediately thinking of a different paper I read a while agohttps://idp.nature.com/authorize?response_type=cookie&client_id=grover&redirect_uri=https%3A%2F%2Fwww.nature.com%2Farticles%2Fncomms2961 …
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Very cool. Patents and inventors reminds me of the book Geography of Genius (I haven't read it yet) that said geniuses always, without fail, live in cities.
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What about deaths in car crashes?
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Really interesting that employment is linear 1.0
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Doesn't road surface sublinear growth is simply a matter of population density (which increase with the size of population)? You need less road when population is denser, IMO.
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Not saying that I predicted such things, but these aren't exactly shocking in light of a couple known phenomena: Agglomeration eases forming contacts between people (aka lower transaction cost via transport alone). Propinquity.
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Bigger populations are usually denser ones, because transport costs exceed the cost of building upwards. And density makes alternatives to cars more viable (fewer gas stations and sales). Energy consumption probably runs the other way after controlling for GDP.
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Could you put patents and inventors into a chart so I can understand this better?
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What function are you fitting here? What is beta?
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Something like y=x^beta I think
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