Tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to
build better tools.
This study measures the entropy (or disordered-ness) of street bearings in each street network, along with each city’s typical street segment length, average circuity, average node degree, and the network’s proportions of four-way intersections and dead-ends. It also develops a new indicator of orientation-order that quantifies how a city’s street network follows the geometric ordering logic of a single grid. These indicators, taken in concert, reveal the extent and nuance of the grid.
American cities seem like a product of industrial processes where older European cities seem like a product of human processes. This is because most American cities were built after and alongside the car and the industrial revolution – the design of cities took into account what was easily possible, and that guided the shape and scale of everything.
Software has similar analogues. There are software codebases that feel much more industrially generated than hand written, and they’re usually written in automation-rich environments fitting into frameworks and other orchestrating code.
…But despite the availability of cars, I still much prefer the scale and ambiance of European, human-scale cities, because ultimately cities are places humans must inhabit and understand. In the same way, I still much prefer the scale and ambiance of hand-written codebases even in the presence of heavy programming tooling, because ultimately codebases are places humans must inhabit.