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by wgoodwin
4786 days ago
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Well done (I'd say better than the original). One of the things I find most surprising is the data on the bus lines. I'd assumed, as a recent LA transplant, that the bus lines would generally serve worse off neighborhoods (it is always thus in LA; minority and lower income neighborhoods get mediocre bus service, while wealthier neighborhoods get expresses and light rail). Of course, it would be interesting to overlay the stops of the various corporate buses on top of this information. My guess is all those high points have private alternatives serving them. Final point: this might be best for the questions it raises. How does service compare across lines? How many people does a line move and how fast? How much is the line getting subsidized (BART, I'm guessing, crushes the others in that regard). |
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The trick with San Francisco is that because of the buckshot nature of public housing developments in the city, poor areas as mixed in surprisingly evenly with wealthy areas. This creates a lot of negative effects for residents - the expensive and trendy Hayes Valley for example, is right next door to an extremely high-crime area, the Western Addition. Keep going a bit further and you hit the Fillmore, which is again a wealthy, trendy area.
SF does this at micro-scale. In a given neighborhood there can be extremely good blocks that are directly next to extremely bad blocks. It's not hard to walk 300 feet and end up in a completely different-seeming universe.
One thing that's interesting to note is that SF buses stop very often, so the highs and lows aren't really spread across a large geographic distance, they are often separate only by a block or two. The "cliffs" in the graph really are that steep when you project it onto a map.