Pic taken from roadway.report, an interactive map of all known roadway deaths in the USA.
Fatalities resulting from motor vehicle crashes are the third largest cause of accidental deaths in the United States. On average for 2024 there were over 100 deaths per day on US roads.
#EveryMapIsPopulation
https://roadway.report/population
#LowEffortCommentsAreSilly
#EvenThatMapEndsUpBeingAMapOfPopulation,ButMoreOfABoolean,BecausePeopleDon’tDieWhereThereAren’tPeopleAndItTakesTwoToTango
The red is higher rate of death per capita. You can die in a car by yourself in the middle of no where.
#IThoughtWeWereHavingThisConversationInHastagsButTheIssueIsTheDenominator,andThatThereIsPracticallyNoOneInRuralAreas,SoAnyNumberOfDeathsOverAMuchSmallerNumBerAppearsBig.ItsStillAMapOfPopulation
#TheyShouldProbablyBeUsingAMoreStandardRasterGridAndThenDividingBySomeNumberThatAccountsForTheDistanceTravelledPerUnitRoadInAGivenCell
We should standardize on printing statistics like this in magenta superimposed on the population density printed in yellow—then per capita differences would show up as different hues.
I think for this map to be salvaged you need to fix the denominator and not use political boundaries for aggregation. Hexagons or raster because the entire point is to make it arbitrary. The formula would need to be something like (Auto Deaths per capita)/(Road Miles Traveled Per capita), or maybe (Auto Deaths per capita)/(Sum of length of roads per cell).
Regardless, its still a population map because the denominator gets really small in rural areas, and the map still doesn’t tell us anything about how safe or dangerous roads are.
Red is the colour.
This graph would be identical for nearly any cause of death. Yes, we should drive less, and if we must drive then it should be safer, but this is just a graph of population, which itself is highly correlated with people dieing.
https://roadway.report/population
They have a per capita adjusted map too. Cities are much lower than rural areas generally.
They even provide access to the underlying data.
Oh, cool, they’re violating OpenStreetMap’s tile usage policy. Is it that hard for them not to shit up something free made for the public good? Jesus christ; what stupid, lazy slobs.
Why do I care to reach out to these two stupid assholes who omitted the bare minimum credit everyone ever using OSM data has seen at the bottom right? “Oh, please, sirs, won’t you stop being thieving pieces of shit?”
I don’t care either. Disengage.
Lemmy.ml doesn’t formally follow the disengage rule, but I think we’re generally likely to honor it.
I care because you’re posting a link to their website that fails to do the bare minimum to attribute other people’s vast amount of hard work.
Why do I care
I care
Again. Not my problem. Disengage.
Other causes of death would likely look less like spiderwebs since it’s just a population density map by counties, but this one is specifically along roadways. The interesting difference between a population density map and this map specifically is you can see the long stretches of roads in the middle of nowhere and how dangerous they can be.
