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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.
Dammit, I saw this post and thought "let me get that xkcd comic..." Oh well, one upvote for you :-)
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.
I wasn't really surprised by that. My county is corrupt to the core, and intentional hit and runs are written up and reported as accidental, unless you are~~n't~~ paying or related to people.
that's crazy to think about, you think of cities being way worse, but I guess it does make sense.
Rural people drive faster, and there are very few pedestrians.
Smaller cities are light on pedestrians and very car focused, meaning those few pedestrians have drivers who are less used to pedestirans, and drivers still drive like they're on highways.
I was in Albuquerque recently, and I have never felt less safe as a pedestrian. You have people swerving through intersections, being surprised we were walking on the walk signal, upset with us, we had to walk around parked cars, into traffic, it was horrible.
Rural areas also have less well-maintained roads, poorer lighting, and more wildlife that may run into the road, in addition to requiring more driving because everything is further apart.
I remember reading an article a while back on how the vast majority of pedestrian deaths - even before accounting for population density - are on rural arterials during the evening and night. Something like 75% or thereabouts.
And to be clear, "rural arterial" doesn't necessarily mean it's outside of city limits, it's a category of road that has no sidewalks, often no streetlights, high throughput, but still has auto-oriented businesses or homes fronting it. A road that was never meant for pedestrians but sometimes people need to walk alongside regardless.
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?"
Edit: And I quote: "Do not hide attribution beneath UI, behind toggles, or off-screen." But that was too hard for them.
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.
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.
#EveryMapIsPopulation
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 (pinkish for high or orangish for low).
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.
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 on no where.
#IThoughtWeWereHavingThisConversationInHastagsButTheIssueIsTheDenominator,andThatThereIsPracticallyNoOneInRuralAreas,SoAnyNumberOfDeathsOverAMuchSmallerNumBerAppearsBig.ItsStillAMapOfPopulation
#TheyShouldProbablyBeUsingAMoreStandardRasterGridAndThenDividingBySomeNumberThatAccountsForTheDistanceTravelledPerUnitRoadInAGivenCell
#ItsNotLikeWeDon'tKNowTheseAreCensusTracks,ItsThatCensusTractsAreNotAgreatWayToAggregateThisParticualarSpatialDataBecauseAgain,YouJustEndUpWithSomeVariantOfPopulationMap
The most granular population density data in the USA can be found at the census tract level, which provides detailed demographic information for small geographic areas.
Data is not magical, however much you wish it to be.
Data is not magical, however much you wish it to be.
I've built maps estimating how much of your lawn you are watering at at 15cm pixel resolution. Techniques to count how many cars per driveway are parked at evening hours. How much water, per hour, being used by every address in a county.
I have seen dashboards developed by collaborators who have access to near real time data regarding the physical positions of hundreds of millions of devices.
Just because its the highest resolution data that you know about, doesn't mean its the highest resolution data which exists.
Red is the colour.
Of your energy?