A model can be defined as an equation like 1 + 1 = 2, except in our situation it’s not that quite mathematical. Two is the result of 1 + 1. The problem we have defined in the previous blogs has a result of vehicles speeding through our neighborhood. Based on the information we have gathered, the segmentation data, we can agree that a valid model for vehicles speeding through our neighborhood could be
Workers crossing over open lanes + cars = congestion
Congestion + I got places to be = Frustration
Frustration + another route option = 23rd St. speeding problem
That’s one model which we can be tested.
Now, based on the data we have collected, it is really hard for me to think of another model that can explain our result. That’s a good thing. You shouldn’t have a list of models that is overwhelming relative to the problems complexity level. If you do, then, the issue is likely the result of an anemic problem statement and/or lazy segmentation. You would be amazed how often people try to jump right into suggesting solutions before digging into the data.
So let’s assume we communicated our model to the construction workers and they made changes to their job site to eliminate the need to cross over the open lane. We then observed that the change indeed has reduced traffic congestion and the number of vehicles speeding through our neighborhood.
Next time, how about we begin to try to conquer some real world problems? If you have a social or political problem that is worth trying to solve, reply to this post.
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