Author’s Note: Between my trip to Vienna and my general school work, I’ve run a bit behind on writing blog posts, so for this month I’ll be putting up a few things I wrote for my Smart Cities class, taught by Professor Alenka Poplin (from my various Vienna posts).
As smart city programs become more and more common, it is becoming necessary to understand them and recognize their successes and, perhaps more importantly, their failures. Studying any individual city can give some information, but real understanding comes from comparing these projects to each other. However, comparisons of such complex entities are not easy, and a lot of work has gone into finding ways to compare cities to various ends.
There are any number of reasons to compare smart cities: choosing the best place to live or build a business, finding ideas for new programs (and steps not to take), marketing success and revealing opportunities for growth, or just as an opportunity to academically study how these cities perform. Different needs and biases have necessitated differing comparison methods and results, from simple if opaque rankings to complex categorical analysis to individualized qualitative descriptions. Comparisons also vary in their scope, from massive worldwide studies to granular examinations of small categories.