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A Treatise on Liveable Urbanism

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  Said of Ebenezer Howard by Jane Jacobs: "His aim was the creation of self-sufficient small towns, really very nice towns if you were docile and had no plans of your own and did not mind spending your life with others with no plans of their own.  As in all Utopias, the right to have plans of any significance belonged only to the planner in charge." As urbanists and influencers, we must resist the urge to be the Planner in Charge, and instead should focus on infrastructure to enable and encourage people with plans of their own to have places to meet, talk, strive, fail, learn, teach, collaborate, change, and succeed without too much oversight and without putting too many wickets in the way. Terminology - Pods and podification. Pod:  a detachable or self-contained unit on an aircraft, spacecraft, vehicle, or vessel, having a particular function. The use here of the term “pod” as an urban concept grew out of discussions over the summer and fall of 2018, between a few of us in T

Least-Human Human

  Earlier this year I read "The Most Human Human", a story of a real-life Turing Test AI competition, and the humans who competed. It's entertaining and thought provoking, but that's not my point. It's fun to think about what makes a human "more human", but instead of the "most-human human", what about the "least-human human", or the "bottom-quartile-human human"? In the real world, human-ism is surely a statistical curve, and AI will pass the Turing Test against some individuals far sooner than others. But more important is the Observer-Judge...they too must be facile and adept at what makes a human "human". Already we are each in this role today, against Twitter Bots and voice-assistant systems and photoshopped images and user interfaces which are some combination of AI and human designs. Is there a Turing Test for photographs? Videos? Language translators? Isn't the Turing Test a contin

Case Study: Anecodotal But Typical Individual Commuting Choice

 A family member lives in Chicago, and mentioned in passing a drive/transit decision with trade-offs.  They already have a car, and are not likely to consider a car-free lifestyle, so that decision already makes this commuting decision one of incremental cost.  I suspect this is a very common situation. Scenario:  Commute to work, about 5 miles each way, more or less normal business hours.  The route has options for car (of course), train (decent), and cycling (poor - no protected lanes and fairly fast road segments). Option 1 - Cycling:  This one is not much desired, due to safety concerns but also societal expectations.  "A man coming in sweaty or unkempt is 'that cycling guy' at the office.  A woman doing the same is unprofessional and not good at her job."  Perhaps this is a societal issue we should fix? Pragmatically, an e-bike ride is possible, if the risk is embraced.  She thinks it'd be as fast as driving, or faster, for a confident-to-aggressive cyclist. 

Street Safety - Techie Topics

  When a speeding motorist is pulled over by a police officer and he asks, "Do you know how fast you were going?", most people say "not exactly", and probably often this is true, especially on city streets where cruise control is not much used and the stroad feel is more highway than street. We say individuals are responsible for managing their speed, yet we give them more tools to evade laws than to follow them, and then we're somehow surprised when the behavior is less than exemplary. Why are cars built to go over twice as fast as any highway speed limit in the country? Why do cars permit setting cruise control in cities, and at speeds over the speed limit on highways? Why do uninsured cars operate at all? Why do cars, which know exactly where they are on the city streets, not at all control speed on those streets to match posted limits? Why can cars with hacked vehicle computers and inoperable safety systemsbe operated on the street? How can we have meaningfu

Street Safety - Safety Pyramid Revisited

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  A couple of weeks ago I introduced the notion of a safety pyramid. Now that we've dug through some of the needed changes and the ramifications of culture, I though we could revisit the model and hit the high point. I'll add a few cautionary notes, too. For reference, here's the pyramid again, with modestly updated numbers as I've attempted to find decent statistics. Ideally, we'd each calibrate these for our cities and then manage the whole pyramid down in size. Recall that the general assertion of this model is that it is not usually possible to chop off the top of the pyramid, but that action must be taken at the lower layers (improving the slices of cheese in our avoidance model) to reduce the top layers, as these manifest as statistical inevitabilities. Unfortunately, as we've outlined in the intervening blogs, we cannot hope to have a healthy, robust safety system to create and improve a robustly safe street network without better responsibility.

Street Safety - AAA Accessibility

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We've got one major problem to think about, and that is a meta-problem -- thinking about how we think about transportation networks. Shift our thinking from the 1950's car-first, zoning-heavy mobility strategy to a car-last accessibility strategy. As we started up high and dug down, we said we should shift our focus from Mobility (car based for healthy, capable, well-off people ) to Quadruple-A Accessibility (all ages and ability accessibility, including all wealth classes), and so now we need to figure out how to go back and re-do some previous decisions that got us where we are. We already hit one bit topic - safety - and we'll keep that in mind as we think about zoning and our neighborhood structures. Here is a critical point: every journey is a personal decision, and as we discussed in earlier discussions about network theory, most are repeat decisions, so the "iteration with preference" provides a powerful engine for change over time. Ideally, most des

Street Safety - The Basics

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  A couple of blogs ago we ended up with 4 key things to fix, and the first two we covered last time, as the "hard" people/culture sorts of problems. That leaves two "easy" technically-focused problems. Change street design to improve inherent safety and to promote better driver behavior. Shift our thinking from the 1950's car-first, zoning-heavy mobility strategy to a car-last accessibility strategy. The "street design problem" is by now fairly well understood, as Jeff Speck, Charles Marohn (and the StrongTown crew), and the Bruntletts have written about this in depth from social, economic, and engineering perspectives. I'll only briefly recap, as I cannot do better than these experts: Cars drive sprawl, which ends up being unsafe, uneconomic, and dehumanizing Applying roadway (actually, highway) design optimizations to streets turns them into "stroads", which are not safe or accessible streets for living/shopping/working, nor are the