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  1. Please stop believing that machines will do the job humans are unable to do. Thinking a city completely as a consistent system is not something of unreachable difficulty. Electronics engineer have tackled and solved the very same problem for decades with correct results. A large PCB is equivalent to a large city in complexity level, constraints and functionalities.
    What is missing with cities is a real will to do the job, because too many lobbies make a comfortable living in adding complexity in order to the city to remain a perpetual mess. The method is very simple: apply ineffective transport solutions, carefully separate actors, for example street water management from home water management ; build large towers without caring about metro stations or parking or just locally. Add highways interchange everywhere and only complain about pollution upon a peak.
    We can make a consistent and efficient city, without any “smart” gadgets, whenever the whole business system is exposed and discussed honestly. Not for tomorrow would I say.

  2. I see what the author is getting at. For complex decisions involving efficiency, I agree, a computer will do the job faster and probably more accurate. BUT, until a computer can negotiate a solution between mad neighbors, explain to PC & CC why the city needs a vacation rental ord,, or one of anther million solutions that involves a meeting of the minds, these algos will take the back seat. I look forward to the help they can provide in LOGICAL situations- there’s just no way in the near future any computer can replace an urban planner that actually interacts with the public/policy makers on such an intimate level. For now these algos are tools, not replacements. Long-term, planners that expect to stay employed will need to understand how to harness this tech for local gain. Time to step up our game (theory)!

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