Ibrahim Ayub Desai

02Data visualisation

Mock Cycle Prices App

A project aimed to adjust TFL cycle hire pricing, via an algorithm that adjusts the price of the cycle hire dependent on hourly and monthly TFL cycle hire data, alongside PM 2.5 pollution levels across the boroughs of London.

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When
2023 ยท UCL coursework (COMP0034)
Team
The Coding Cyclists
Type
Data visualisation
TFL Cycle Hire Pricing app home page with a choropleth map of cycle hire prices across London boroughs
Home: the pricing choropleth map, filterable by time of day and month of year.

Overview

The aim was to create a price map that increases TFL revenue by promoting cycle hire and taking advantage of rush hour prices, as well as promoting cycle hire in highly polluted boroughs with hopes to reduce pollution across greater London.

The app

The Dash app's main feature is an interactive pricing choropleth map, letting users identify the price of Santander cycles in different boroughs of London, at different times of day and in different months of the year.

The map can be broken down into the graphs behind it, visualising the hourly, monthly and pollution data used to form it. These sit in tabs on a sidebar for users to view and analyse.

Testing and continuous integration

Because the multi-page app's sidebar wasn't testable, a single-page version of the app was created specifically for testing.

  • 15 tests written with pytest and Selenium, each documented using the GIVEN-WHEN-THEN approach
  • Coverage reports showed 89% coverage across the tested files
  • A GitHub Actions workflow lints with flake8 and runs pytest with coverage on every commit to main
Bar chart of hourly cycle hires for Sunday 1 July 2018
Daily data: cycle hire usage by hour.
Bar chart of average cycle hire usage for each month of the year
Monthly data: average cycle hire usage per month.
Choropleth map of total recorded PM 2.5 particles for each London borough
Pollution data: total recorded PM 2.5 per borough.