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has anyone done a good analysis of how to reduce fatality and injury risk of driving over a baseline of normal Uber? in particular, how much would each of the following matter:
a large SUV vs a normal sized car
Waymo vs well-rested professional chauffeur vs average Uber driver vs average American driving
also in particular interested in time-of-day segmented stats. several factors make this difficult. time of day accident data is confounded by intoxication and fatigue; but there is some bleed over, because someone else crashing into you is a large fraction as dangerous as crashing yourself. and afaict there isn't good data segmenting by type of driver.
I was working on a post about how to drive safer and how much safer you would be, but all of the data is really annoying to work with. My calculator is here (code here), but it never got to the point where I thought it was good enough to share.
It's really easy to find stats about drivers involved in crashes, but there's very little data about base rates. For example, we know that a lot of people involved in crashes are drunk or texting, but we don't know if the other drivers are sober and undistracted, or just didn't crash. We also know that a lot of crash... (read more)