Using Sensor Data For Smarter Urban Planning
kenekaplan writes "Sensor technology and data analytics are becoming foundations of urban planning. Herman D'Hooge, Intel engineer and University of Oregon Instructor, says that so-called smart cities aren't merely defined by optimized energy or transportation systems. 'The analytics behind them have become more sophisticated so you can make sense out of sensor data,' he said. 'If we start mixing data from the transportation system with data from the building system and the schools system and start meshing that data together, we may start seeing efficiencies and opportunity that weren’t visible within each of those silos'"
this is where all the hipsters and apple users will live most likely.
Here in KC we have a runaway sprawl problem (I know to the south where I live and probably north as well). The city is insanely large area-wise for it's population. A guy with 50 acres of prime real estate in the middle of the city won't sell because he's waiting for a great price, not just a good price. But, a farmer further south without such delusions of grand profits agrees to sell his 50 acres to the next apartment complex builder. So, the city now has to build infrastructure and bigger roads further south. There are very large plots of privately-owned undeveloped land and even farm land mixed in with normal suburban development, not quite large enough to be scenic but big enough to make it clear that we're sprawling.
I don't see a real solution without either refusing to push utilities further south or enacting price controls on land deals which is unfair to the owner (and maybe illegal).
I swear to God...I swear to God! That is NOT how you treat your human!
http://www.youtube.com/watch?v=Buy9GAMsGmY
Very nice thought - about time we tried to make our cities work more efficiently...
Aerial photography to identify empty lots with hobo camps.
Bulldoze and build high rise condos.
Have gnu, will travel.
IMHO, just throwing more sensors at a city does not make it smarter. What city infrastructures are really missing now is smart data analytics to make sense of raw sensor data. Such analytical technology is only beginning to emerge (for example, in the space I know best, my own company TaKaDu which provides software to analyse the data from a rather sparse array of sensors in local water distribution networks, and monitor for faults). Without that, you end up with ranks of analysts and engineers staring at columns of numbers which go up and down for a long list of reasons, hunting for the few meaningful patterns or anomalies, with predictably limited results. "More data" or even "more mixing of different data" is just the first stepping stone.
On a related note, an interesting industry collaboration on these topics (again, within the water industry) is SWAN -- Smart Water Networks Forum, focused on the wide variety of data systems which go into managing water networks, one of the more hidden, but most critical, city infrastructures.