In an attempt to show how the two categories contribute to traffic violence (crashes resulting in injuries or fatalities) at very different rates, I created this notebook. Perhaps there are other / better ways / charts that might be effective in comparing the two categories?
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Interesting subject!
I explored a little bit looking at how ādangerousā a collision might be depending on the type of vehicle involved. I computed injury rates (the average number of people injured per collision) broken down by injured subject (motorist, cyclist, pedestrian).
The interesting thing to me is the difference between the total injury rate (āpersonsā) versus the respective operatorās injury rate (cyclists for bicycle-involving collisions, motorists for car-involving collisions).
For bicycle-involving collisions both the total injury rate and the cyclist injury rate are near 1.0, suggesting most of the time thereās a bicycle-involving collision, itās the cyclist who is injured. However for collisions involving cars and trucks, the total injury rate is about 1.4, while the motorist injury rate is about 1.0. It appears that pedestrian and cyclist injuries make up for most of the difference, which makes sense.
That said Iām not an expert in this data and I would suggest talking to people who are more familiar with it (if you arenāt already!) before drawing conclusions.
P.S. I also tweaked your queries (to use GENERATE_SERIES) and typed-coerced the result. We use these techniques in our internal Observable dashboards and you might find them usefulā¦
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Thanks @mbostock! This is really helpful, both in terms of analysis and techniques.
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