This is the final installment of a five part series documenting parking minimums across the United States. Future graphs will explore parking minimums on a more local and conceptual level and will eventually include on-street parking policy as well.
There is no consensus on how to calculate minimum parking for high schools. The methods are so varied that I ended up leaving several cities off of this graphic in an effort to simplify comparisons. Still, despite my best efforts to use current national averages to build a fair basis of comparison, the numbers shown and the corresponding ranks of each city represent only one possible scenario and could shift significantly if different assumptions were used about student and staff population, built area, and/or the number of classrooms. The real lesson from this graph is the haphazardness with which minimums are calculated and the huge consequences for cities like Mesa that get it horribly wrong. Providing plentiful free parking to high school students gets them hooked on driving from an early age. It sets the expectation that driving is a rite of passage into adulthood and that any other method of getting around is immature or inferior. In a country with an obesity epidemic, that doesn’t seem to be the best lesson to teach. In a setting where equality should be a virtue, it provides a benefit to wealthier students, who have the means to drive a car, with funds that could go towards providing students (including those less well off) with a higher quality education.
With this post I am taking a brief detour from the inaugural series of Graphing Parking to feature a graph for the Sightline Institute’s ongoing series, “Parking? Lots!” Alan Durning has been leading this in-depth analysis focused on parking policy in Cascadia. I encourage everyone to check out the article as well as the previous three installments.
This graph is an adaptation of the earlier “Living Space vs. Parking Space” that I did for cities in the contiguous 48. Fortunately for me, Mieko Van Kirk and Pam MacRae of the Sightline Institute did the heavy lifting in researching each city’s requirements for this version.
I have a couple of observations I’d like to add:
Two things stood out for me especially. First the common suspicion that suburbs have higher parking requirements than their principal cities has been universally upheld here. Obviously this is just one land use in a sample that includes only three major metropolitan areas, so the graph doesn’t prove definitively that this holds true as a rule. Additionally, as you can see in the previous graphs, Seattle and Portland have some of the lowest minimums in the US, so it is unsurprising that the suburbs’ are a bit higher. Nevertheless, the fact that there is not a single exception says a lot. I would be interested to see if cities with already high requirements such as Albuquerque or Jacksonville have suburbs with yet higher parking minimums.
Second, this graph challenged my assumption that smaller stand-alone cities would behave just like suburbs. It’s actually a mixed bag. Spokane, Washington and Eugene, Oregon both mimic the requirements of the larger cities. It would take looking at various other uses to find out whether this similarity applies in general, but I will no longer take for granted that a relatively small (around 200,000 in the city proper) population automatically translates to higher requirements. If there are many more similar cases out there, it would go a long way towards demonstrating that cities don’t need Manhattan-like conditions to ease up on parking minimums.
Vector versions: Cascadia apartments; Cascadia apartments landscape
This is part three of the five part series documenting parking requirements for various uses across the United States. Much of what was said about the restaurant graph applies here as well. Office building requirements are somewhat less dramatic in both size and variation but not by much. In comparing the three graphs that I have done so far, it is starting to become obvious that there is great inconsistency not only between cities but within each individual city’s code. Compare for instance the restaurant requirement versus the office requirement for both Kansas City and Memphis. In examining the restaurant graph, one might assume that Memphis has by far the less onerous minimums. However, in the office graphic above, the roles are strikingly reversed. Other cities are more consistent. Seattle and Milwaukee are good examples.
This is part two of the five part series documenting parking minimums for various land uses in cities across the United States. I found the graphs above to be quite stunning and while I was working on them I often had to remind myself that these are not worst case scenarios, these are minimums. Much more so than the previous entry on apartments, this set of graphics illuminates the huge amount of real estate that city governments require to be set aside for parking. The spacial mismatch between cars and people is jarring, and it becomes obvious that creating a humane, walkable urban environment is totally impossible so long as these ordinances stand.