• SwingingTheLamp@midwest.social
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    2 days ago

    I strongly disagree with VMT as the proper measure, and here’s a simple, constructed example of why:

    There are two cities of about 200,000 people. One is compact, and easy to get around by transit, walking, or biking. The people drive around 2,000 miles per year each. The other is a low-density, mostly suburban area, and people drive around 15,000 miles per year. They have the same casualty rate per VMT of 3 per million miles.

    Those two cities aren’t equally as safe. Not even close! The one city would have 1,200 crashes, injuries, or deaths each year, and the other would have 9,000. That’s a major difference which should be accounted for in policymaking and land-use decisions.

    As far as the American landscape, it’s spread out not because it was cheaper. How could that be, when it takes more infrastructure to spread out? It was more expensive, and that was actually the point of car-dependent suburbs. They were more expensive to build and maintain, which kept the undesirable people out. Then, the desirable people were subsidized, through the GI Bill, tax breaks, mortgage lending standards (e.g. redlining), and the like.

    I don’t claim it’s a grand conspiracy, but it is verifiable history.

    • michaelmrose@lemmy.world
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      20 hours ago

      The metric you desire ought properly to be determined by what problem you are trying to address. We aren’t building America like sim city we are deciding what to do with our existing situation. For a person deciding what to do they need to weigh the actual consequences of various choices. Deaths per billion not million vehicle miles captures the actual costs of doing so. 2 for sedans 110 for bikes.

      Anyone who drives 15,000 miles isn’t replacing their car with a bike. You would be asking them to bike 288 miles per week which is absolutely insane. Nobody is doing this. If they drive 5000 they might but at the cost of a drastic increase in risk. This leaves us where we are now where almost everyone either can’t or won’t.