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.
You have a thing. You would like to improve said thing. So, you ask a bunch of people what they think, giving more weight to those with relevant expertise. It’s a time-tested strategy.
The pitfall here is that if the participants are aware of each other’s contributions, they will almost always automatically switch to consensus-building instead of providing their honest feedback. Worst case scenario: the bandwagon effect gathers steam and drives you toward a crap decision.
Most organisations have a lot of documents and data floating around that hardly ever gets revisited or used. They all have research, reading, and relevant information collecting dust.
Stuff that should be informing the decisions and strategies of the company. Some of it sits unread in a knowledge base or a wiki. Some of it lies in the drives of individual employees who don’t have a way to share it productively.
So much knowledge not being applied!
Except that’s not how we work as human beings. If you haven’t read it, experienced it, and contextualised it, then it isn’t knowledge to you. Knowledge is a quality that people possess, not documents, and the only way to transfer it from one place to another is for people at both ends to apply themselves and make it their own.