As a first test, it is desired to assess the prediction capabilities of the proposed altitude_index (A_i) and distance_index (D_i) with respect to the percentage of bike usage for a list of cities in the Global Bicycle Cities Index 2022 as a reference.
This platform should pick a number of cities and get their A_i and D_i and test the following hypotheses:
- The lower the A_i, the better for cycling
- The closer to 1 the D_i, the better for cycling