Crossings & Cul-de-sacs

Scary factoid of the day: Greater Cincinnati has about 9,000 cul-de-sacs, or streets that end bulbously. Generally, such streets are part of a dendritic hierarchy, a branching development pattern very common in post-car/war/car-war urban development.

location of cul-de-sacs in greater cincinnati

8,894 Cul-de-sacs. Data is from OSM

I grew up on a cul-de-sac, but we’ll not go there: too much baggage. Also, it’s an unpleasant trip and there’s no transit.

These cul-de-sacs are interesting to me, if I can use a word like ‘interesting’ anywhere near such a lifeless thing, in part because they present an opportunity to do something inverted: the opportunity to make an intensity map of the very opposite of intensity, a map of the extremity of dullness. So far as transportation is concerned, this will also be a proxy for the degree of disconnection between things or more practically, the degree to which one might reasonably be scared to be outside the protective machinations of a car.

Here’s a density analysis of the location of cul-de-sacs:

map of cul-de-sac density around cincinnati ohio

Places you probably won’t go on a bus
The darker the color, the more and closer-together are the cul-de-sacs.

Let’s take a closer look at the most dis-intense spot, shall we?

suburbs

I actually thought this cluster must have been an error in the data when I first noticed it.

Leave it to the golf-course-crowd to take the top spot in this contest. This kind of pattern is perfectly typical of affluent post-car suburbs: houses are located for maximum isolation from neighbors and no one wants to live on a street with ‘traffic’. Of course the obvious irony is that in keeping the traffic off their part of the street, they’ve ensured it everywhere else. It’s such a middle-class arms race isn’t it?

There’s an interesting counter-variable here, though it’s not as completely represented in the data: pedestrian crosswalks. Where there are many crosswalks close together, we should find the opposite characteristics: walkability, liveliness, places where you’d rather not be in a car. So where are the crosswalks?

location of known crosswalks in greater cincinnati

Locations of 2,770 known crosswalks. Crosswalks are only somewhere near half to a third accounted for in this dataset, so this is not an accurate representation, but it’s the best I can do at the moment.

And then the reveal:

cross-walk kernel density map

Kernel density of crosswalk locations, same scale and methods as with the cul-de-sacs above

This looks like it might actually line up well with the location of transit lines!

map of transit and crosswalks in cincinnati

1km triweight kernel density of bus stop events(raster) compared against the contour lines from the crosswalks from above(slightly altered for legibility)

Not a terrible assumption! It’s not a superb fit, but you can definitely notice some areas that seem to have a rather strong correlation. Obviously, the most intense spot for both transit and crosswalks is right in downtown, which we’ve all seen, so I won’t bother with an aerial photo of that.

Interestingly though not surprisingly, crosswalks and cul-de-sacs appear to be somewhat mutually exclusive.

map comparing crosswalks and cul-de-sacs in cincinnati

Only a few relatively minor areas demonstrate substantial overlap

It seems odd that anyone would have taken the time to actually enter in almost 9,000 cul-de-sacs around Cincinnati, though indeed there have been about 85,000 buildings already entered by hand. I rather suspected that they might have been added in the big TIGER imports from a few years back. If they were, that would mean we’d be able to compare against other US cities. I tried a few, but it looks like the data is really just too spotty for a any reliable analysis. Alas, Pittsburgh, Indy, Cleveland and the other cities I checked don’t seem quite ready to give up their subhuman suburban secrets just yet.

pittsburgh kernel density map

Demonstrative Pittsburgh data problems: Clearly, there should be more cul-de-sacs on the right here.

cul-de-sac density map of indianapolis

Indy seems fairly complete, but something about this just doesn’t feel right to me. From what I know about the city, I don’t think there are enough cul-de-sacs in the data here. Maybe someone will tell me I’m wrong and that Indy just hasn’t experienced as much post-war growth as Cincinnati.

One of my long-term mapping goals is to tag my taxidermist boyfriend with a GPS and get exact locations of all the roadkill he picks up. My bet is that it would primarily lie within or along the edges of the cul-de-clusters identified here.

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