This map depicts the frequency of runners who run on any given road. Red represents the highest frequency of runners, and descending in rainbow order, purple represents the lowest frequency of runners. The map has provided interesting and unexpected results. Based on this data, it is evident that most runners run on main roads where there is constant traffic and not always a sidewalk. However, very few runners run on sideroads where the traffic is lighter. This result is rather unexpected because, as a runner myself, I always run on sideroads rather than main roads as many drivers are unaware of runners of the roads and on sideroads, I only have to pay attention to very few cars. However, upon further research of the different roads, it became apparent that the side roads are frequently much hillier than the main roads, making them more different to run on. For recreational runners, it, therefore, makes sense for them to favor the main roads over side roads.
Moreover, it is interesting to see that not many runners combine both towns in one run. The map portrays two very distinct clusters of routes, their borders lining up with those of the town. This was something that I expected to see because I find myself most familiar with the roads in my town so I have the tendency to stay with what I know rather than branching out and trying new routes that cover more than one town. I would imagine that many other runners have a similar approach when creating their own routes.
I created this project for my Local Literature elective of AP English.